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HomeMy WebLinkAbout5009.2024.TDM Proposals_CambridgeSystematics_SLO_TrvlDmndMdlOncall April 5, 2024 www.camsys.com On-Call Travel Demand Modeling Specification No. 5009.2024.TDM submitted to City of San Luis Obispo submitted by Cambridge Systematics, Inc. with Central Coast Transportation Consulting statement of qualifications statement of qualifications On-Call Travel Demand Modeling Specification No. 5009.2024.TDM submitted to City of San Luis Obispo submitted by Cambridge Systematics, Inc. 1801 Broadway, Suite 1100 Denver, CO 80202 with Central Coast Transportation Consulting date April 5, 2024 1801 BROADWAY, SUITE 1100 DENVER, CO 80202 303-353-3040 www.camsys.com April 5, 2024 City of San Luis Obispo Public Works Administration Attn: Madeline Kacsinta 919 Palm Street San Luis Obispo, CA 93401 Re: On-Call Travel Demand Modeling—Specification No. 5009.2024.TDM Dear Ms. Kacsinta: Cambridge Systematics, Inc. (CS), in association with Central Coast Transportation Consulting (CCTC), is pleased to submit this response to the City of San Luis Obispo’s (SLO) request for qualifications (RFQ) for On- Call Travel Demand Modeling. As highlighted in our submission, the CS team is uniquely qualified to assist the city with travel demand modeling tasks. Key aspects of our submittal are highlighted below. • Detailed local knowledge: CS developed the current version of the SLO Citywide Model, and our team includes CCTC, who have a strong understanding of local growth patterns, issues, and needs. • Nationwide experience: CS has developed and applied travel models throughout Califiornia and the United States. This wide range of experience will enable us to better serve SLO by applying tools and techniques developed for clients around the country. • TransCAD expertise: The CS Principal-in-Charge and staff proposed for this project are some of the Nation’s foremost experts in use of the TransCAD software platform. We have developed numerous value-added tools and add-ins that streamline application of TransCAD models, many of which are included in the SLO model and can be updated and further customized as needed to support future work efforts. • Reliability: CS team has a strong record of responding to on-call tasks rapidly, completing them on time and within budget. Our extensive experience with the SLO Citywide Model will provide the most efficient and cost-effective solutions in terms of the technical, economic, and other factors considered by SLO. This proposal will remain valid for 90 days. CS acknowledges Addendum No. 1 to this proposal, released April 2, 2024. If you have any questions about our submittal or require any additional information, please contact our proposed Principal-in-Charge, Sean McAtee, at (970) 219-1094 or smcatee@camsys.com. Sincerely, CAMBRIDGE SYSTEMATICS, INC. Steven A. Capecci Chief Operating Officer On-Call Travel Demand Modeling Cambridge Systematics, Inc. i Table of Contents 1.0 Submittal Forms ............................................................................................................................ 1-1 2.0 Qualifications ................................................................................................................................. 2-1 2.1 Firm Profiles .......................................................................................................................... 2-1 2.2 Relevant Project Experience ................................................................................................. 2-2 2.3 Proposed Staff ....................................................................................................................... 2-6 2.4 Disclosure of Disqualification Instances .............................................................................. 2-25 2.5 Standard Hourly Billing Rates ............................................................................................. 2-25 3.0 Work Program ................................................................................................................................ 3-1 3.1 Approach ............................................................................................................................... 3-1 3.2 Services or Data Anticipated ................................................................................................. 3-1 3.3 Additional Information............................................................................................................ 3-2 On-Call Travel Demand Modeling Cambridge Systematics, Inc. 1-1 1.0 Submittal Forms The following forms are provided in this section: • Acknowledgment. • Insurance Certificate. • Statement of Past Disqualifications. • References. On-Call Travel Demand Model Services Page 8 of 20 SECTION D: PROPOSAL SUBMITTAL FORMS ACKNOWLEDGEMENT The undersigned declares that she or he: Has carefully examined Specification No. 5009.2024.TDM. Is thoroughly familiar with its content. Is authorized to represent the proposing firm; and Agrees to perform the work as set forth in the specification and this proposal.  The undersigned further acknowledges that the proposal and all other material submitted in response to this RFQ may be subject to public disclosure as required by law. Firm Name and Address: Contact Name: Email: Fax: Phone: Signature of Authorized Representative: Date: INSURANCE CERTIFICATE Insurance Company’s A.M. Best Rating Certificate of insurance attached Cambridge Systematics, Inc. 1801 Broadway, Suite 1100 Denver, CO 80202 Sean McAtee smcatee@camsys.com N/A (970) 219-1094 04/03/2024 A++ X Client#· 7758 CAMBRSYS ACORD™ CERTIFICATE OF LIABILITY INSURANCE I DATE (MM/DD/YYYY) 8/25/2023 THIS CERTIFICATE IS ISSUED AS A MATTER OF INFORMATION ONLY AND CONFERS NO RIGHTS UPON THE CERTIFICATE HOLDER. THIS CERTIFICATE DOES NOT AFFIRMATIVELY OR NEGATIVELY AMEND, EXTEND OR ALTER THE COVERAGE AFFORDED BY THE POLICIES BELOW. THIS CERTIFICATE OF INSURANCE DOES NOT CONSTITUTE A CONTRACT BETWEEN THE ISSUING INSURER(S), AUTHORIZED REPRESENTATIVE OR PRODUCER, AND THE CERTIFICATE HOLDER. IMPORTANT: If the certificate holder is an ADDITIONAL INSURED, the policy(ies) must have ADDITIONAL INSURED provisions or be endorsed. If SUBROGATION IS WAIVED, subject to the terms and conditions of the policy, certain policies may require an endorsement. A statement on this certificate does not confer any rights to the certificate holder In lieu of such endorsement(s). PRODUCER ~2~i~cT Annette Cho Starkweather & Shepley (WW) fljgNrio Extl: 401-435-3600 I F.ifc Nol: 508-718-2407 Insurance Corp. of MA ioMD~~ss: acho@starshep.com PO Box549 INSURER(S) AFFORDING COVERAGE NAIC# Providence, RI 02901-0549 INSURER A: Federal Insurance Company 20281 INSURED INSURER B: Westchester Surplus Lines Ins Co 10172 Cambridge Systematics, Inc. INSURERC: 200 South Wacker Drive, Suite 2575 INSURER D: Chicago, IL 60606 INSURERE: INSURER F: COVERAGES CERTIFICATE NUMBER: REVISION NUMBER: THIS IS TO CERTIFY THAT THE POLICIES OF INSURANCE LISTED BELOW HAVE BEEN ISSUED TO THE INSURED NAMED ABOVE FOR THE POLICY PERIOD INDICATED. 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ACORD 25 (2016/03) 1 of 1 #S2178203/M2176593 The ACORD name and logo are registered marks of ACORD SHM On-Call Travel Demand Model Services Page 9 of 20 STATEMENT OF PAST CONTRACT DISQUALIFICATIONS The Consultant shall state whether it or any of its officers or employees who have a proprietary interest in it, has ever been disqualified, removed, or otherwise prevented from bidding on, or completing a federal, state, or local government project because of the violation of law, a safety regulation, or for any other reason, including but not limited to financial difficulties, project delays, or disputes regarding work or product quality, and if so to explain the circumstances. Do you have any disqualification as described in the above paragraph to declare? Yes No If yes, explain the circumstances. Executed on ______________________at _______________________________________ under penalty of perjury of the laws of the State of California, that the foregoing is true and correct. ______________________________________ Signature of Authorized Consultant Representative REFERENCES Number of years engaged in providing the services included within the scope of the specifications under the present business name: _________ Describe fully the last three contracts performed by your firm that demonstrate your ability to provide the services included with the scope of the specifications. Attach additional pages if required. The City reserves the right to contact each of the references listed for additional information regarding your firm's qualifications. Reference No. 1 Customer Name Contact Individual Telephone & Email Street Address City, State, Zip Code Date of Services Contract Amount Description of Services Project Outcome X In the interest of full disclosure, please see attachment to Statement of Past Contract Disqualifications for list of disqualified proposals. 04/03/2024 Medford, MA 52 Orange County Transportation Authority Brian Smolke (714) 560-5751 bsmolke@octa.net For Orange County Transportation Authority (OCTA), CS provided software support in updating and improving its Orange County Transportation Analysis Model (OCTAM). CS made improvements to the OCTAM Dashboard, the user interface, and to model methodology. The updated dashboard includes new customization options in many of the mapping and reporting functions, as well as a new select link/zone dashboard that provides instant feedback as users modify map settings. User interface improvements include streamlined run control, the ability to resume speed feedback from a user selected iteration, and enhanced scenario management tools. CS also made changes to model methodology, including improvements to express lane and toll handling, time-of-day calibration, and addition of separate walk and bicycle modes. CS also worked with OCTA staff to update and clarify mode definitions and activate the placeholder bus rapid transit mode present in the model system. As a result of this work, OCTAM includes new user-friendly features the enable easier access to summaries and reports as well as new functionality in how the model addresses managed lanes and active modes of transportation. June 2021 - Present $249,500 600 South Main Street Orange, CA 92863 On-Call Travel Demand Model Services Page 10 of 20 Reference No. 2 Customer Name Contact Individual Telephone & Email Street Address City, State, Zip Code Date of Services Contract Amount Description of Services Project Outcome Reference No. 3 Customer Name Contact Individual Telephone & Email Street Address City, State, Zip Code Date of Services Contract Amount Description of Services Project Outcome Alamo Area Metropolitan Planning Organization Sonia Jimenez, Deputy Director (210) 668-3614 jimenez@alamoareampo.org 825 South St. Mary's Street San Antonio, TX 78205 For the Alamo Area Metropolitan Planning Organization (AAMPO), CS updated the TransCAD-based travel demand model to base year 2020. The updated model system uses the latest TxDOT trip generation program, TripCAL6, calibrates the mode choice model using the latest onboard survey, and validates the traffic assignment results to available pre-pandemic 2020 counts. The work also included analyzing the external travel survey and updating the through and external-internal trips accordingly. CS also integrated an airport submodel to better represent travel to/from the airport. Other user friendliness updates included upgrading the summary reporting tool to be more interactive, incorporating summaries the MPO typically needs for documentation, as well as incorporating utilities that assist the MPO in their air quality conformity program, including a master network system and a network comparison tool. As a result of this work, AAMPO received an updated travel demand model, validated to the most recent pre-pandemic conditions and updated model components to better address external and airport travel in the region. Colorado Department of Transportation Shahida Mirza, Manager, Travel Modeling Unit (303) 757-9757 2829 W. Howard Place Denver, CO, 80204 March 2021 - Present $236,000 For the Colorado Department of Transportation (CDOT), CS has an on-call contract to provide modeling support. Under this contract, CS is currently supporting development and review of forecasts for Front Range Passenger Rail; troubleshooting and investigating model code, and updating the model where necessary. CS is currently assisting CDOT staff as they develop a new version of the statewide model, validated to year 2019, create a master network, and incorporate the latest assumptions from the MPOs. As a result of this work, CDOT continues to develop their internal staffing capacity and skills through CS providing guidance and support as needed. Additional documentation on transit calibration and validation for long-distance travel was produced. Updated model inputs and a new validated base year are forthcoming. March 2020 - December 2023 $800,000 On-Call Travel Demand Modeling Cambridge Systematics, Inc. 1-6 Attachment to Statement of Past Contract Disqualifications Cambridge Systematics (CS) has not been barred from bidding, proposing, or future contracting for any client. However, in the interest of full disclosure, we have received notice that a specific proposal was disqualified in the following circumstances (within the past 10 years): • In 2023, CS submitted a proposal to the National Cooperative Highway Research Program (NCHRP), which was disqualified due to one of CS’ subcontractors failing to disclose that a NCHRP panel member had previously been an adjunct professor with the subcontractor, which constituted a potential conflict of interest pursuant to NCHRP’s policy. • In 2022, CS submitted a proposal to the California Department of Transportation (DOT). The proposal was disqualified because the client determined CS failed to include a copy of the bid or price quote from the DBE subcontractor. • In 2022, CS submitted a proposal to the Virginia DOT. The proposal was disqualified because the client determined the proposal was not submitted on time. • In 2020, CS submitted a proposal to the California DOT. The proposal was disqualified because the client determined there were multiple errors in the cost proposal. • In 2017, CS submitted a proposal to the California DOT. The proposal was disqualified because the client determined that the staff proposed for two of seven positions that did not meet the minimum qualifications set by the client for the project roles. • In September 2016, CS submitted a proposal for the Utah DOT Corridor Risk Study. CS’ proposal included the project costs for projects that CS identified as examples of its past performance. The Utah DOT form did not require this information and CS was disqualified for including it. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-1 2.0 Qualifications The Cambridge Systematics (CS) team is uniquely qualified to provide On-Call Travel Demand Modeling services to the City of San Luis Obispo (SLO). Our team offers nationally recognized leadership in travel demand modeling and forecasting, and has direct experience with the SLO Citywide Travel Model. CS will serve as the prime contractor for this effort, leading all tasks and activities in coordination with SLO. CS is joined by subcontractor Central Coast Transportation Consulting (CCTC), a traffic engineering and transportation planning services firm. For this project, CCTC will assist with data updates and review, and will help ensure that the SLO Citywide model continues to meet local consultant needs. 2.1 Firm Profiles Cambridge Systematics, Inc. CS specializes in transportation planning and research; and is a recognized leader in the development and implementation of innovative policy and planning solutions, objective analysis, and technology applications. Collecting good quality data and developing accurate and credible forecasts for some of the most challenging and visible modeling projects in the Nation have earned CS international recognition. Our staff comprise the largest group of transportation modelers in the industry that contributed to and in some cases developed many of the travel demand forecasting practices in use in the transportation industry today. For 50 years, we have developed and applied high-powered and common-sense analytical techniques to guide our independent thinking and objective analysis. Developing accurate and credible forecasts for some of the most challenging and visible modeling projects in the Nation has earned CS international recognition. Our clients benefit from our technical skill, practical solutions, and dedication to improving transportation. CS’ staff comprises the largest group of transportation modelers in the industry; staff who are trained to listen to our clients’ needs and provide understandable solutions. For more than 50 years, CS has developed and applied high-powered and common-sense analytical techniques to guide our independent thinking and objective analysis. We contributed to and, in some cases, developed many of the travel demand forecasting practices in use in the transportation industry today. CS has been developing and applying travel demand forecasting models since our formation in 1972. CS is able to serve all regions of the country with over 230 staff on board, including 180 transportation experts and nearly 50 modeling specialists. Having developed and continually refined the travel modeling practices that are now industry standards, we help our clients more efficiently anticipate and mitigate obstacles in identifying the best processes for addressing complex modeling challenges. Our modelers, analysts, and statisticians comprise the largest group of seasoned experts in the industry. Members of our staff have pioneered analytical techniques that have increased the accuracy of forecasts. We find the best solutions for our clients by integrating our analytic skills with our deep understanding of transportation data. CS has more experience in developing and updating travel demand models than any other consulting firm. We have pioneered and documented best practices for travel demand models, including 30 years of work on the Federal Highway Administration’s Travel Model Improvement Program (TMIP), numerous invited model reviews, development and teaching of modeling courses and webinars, and leadership positions in research organizations such as the Transportation Research Board. We have developed models in 40 States, and in all 20 of the most populous U.S. metropolitan areas. CS is the current or most recent modeling consultant in four of the seven largest metro areas. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-2 Central Coast Transportation Consulting CCTC provides professional traffic engineering and transportation planning services in Central California with a focus on responsive, personal service. Formed in 2011, CCTC is a certified Disadvantaged Business Enterprise (DBE) in the State of California. Since its inception, CCTC has operated continuously since that time in San Luis Obispo County. CCTC’s services include: • Transportation impact studies. • Transportation data collection. • Travel demand forecasting. • Traffic signal and lighting design. • Safety studies. • AB 1600 transportation impact fee studies. • Parking studies. • Project management and peer review. • Traffic operations analysis, including microsimulation. • Multimodal level of service calculations. • Signal warrant studies. • Onsite circulation studies. • Traffic calming plans. 2.2 Relevant Project Experience Following are examples of the CS team’s relevant project experience. These projects and studies illustrate our extensive experience in each of the areas necessary to complete the services required by SLO. As indicated by the first three listed projects, CS brings unique experience having developed, updated, and applied SLO’s travel demand model. CS can provide assistance in maintaining the model, updating, and customizing the model’s toolkit and report, and applying the model to produce forecasts. We can also provide technical support, assist with modeling tasks required by SLO, and coordinate with third-party consultants using the travel model or its results. Cambridge Systematics, Inc. SLO On-Call Travel Demand Modeling Services. CS has provided on-call modeling support to the City of San Luis Obispo (SLO) for over a decade. CS initially developed the San Luis Obispo Citywide Travel model as part of a team and has since assisted the City by applying the model and performing updates, as needed. The most recent model update made use of the latest available datasets to calibrate locally specific trip generation, distribution models, and mode choice models. The revised model is based on land use and transportation network data consistent with the City’s geographic information system (GIS). The most recent update also included improved nonmotorized capabilities, most importantly representation of bicycle facilities in the transportation networks. Bicycle model calibration was performed using a combination of bicycle count data and Strava data purchased by the City. The model is consistent with the regional travel demand model of the San Luis Obispo Council of Governments. Upon completion of the latest update, CS assisted the City with application of the model to support an update to the City’s fee program and to understand generated vehicle-miles traveled (VMT) in the context of SB-743. SLO Base-Year Model Development Services. For SLO, CS, as part of a team, helped to develop a 2008 base-year multimodal travel model using TransCAD software. This model built upon the regional council of governments (SLOCOG) travel model by adding improved detail, such as income segmentation, cross-classified trip rates, and a mode choice component. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-3 Orange County Transportation Authority Travel Model (OCTAM) Software Support. CS has assisted the Orange County Transportation Authority (OCTA) in updating, improving, and maintaining their Transportation Analysis Model (OCTAM) for over 10 years. Tasks have included updates to model components based on the Southern California Association of Government’s (SCAG) Household Travel Survey and onboard transit surveys conducted by OCTA. Census data, Highway Performance Monitoring System data, and traffic count data also were important data sources in estimation, calibration, and validation of updated model components. A series of training sessions, along with model documentation and a User’s Guide, have given OCTA staff a strong understanding of the updated model implementation. CS developed a new dashboard functionality that provides access to key data. The dashboard produces interactive maps to display detailed model results such as traffic and transit assignment results and generates an Excel summary report containing useful statistics and performance measures. ITAM TransCAD Software Support. CS recently assisted the City of Irvine in updating the Irvine Transportation Analysis Model (ITAM) to run on the TransCAD software platform, and to build on the most current version of OCTAM. The updated ITAM uses a new and innovative approach that utilizes both a land use to socioeconomic data conversion process, as well as adopted land use-based vehicle trip generation rates. This allows ITAM to fully make use of sensitivity to changes in trip distribution patterns that are incorporated in the regional model, while retaining the adopted vehicle-based trip generation necessary to support traffic studies. In this collaborative effort, CS developed enhanced spreadsheet tools to be used for data input, added modules to the OCTAM system that provide added functionality to meet Irvine’s needs, and developed innovative quality assurance/quality control, VMT analysis, and visualization tools. SBCTA Transportation Analysis Model Update. For the San Bernardino County Transportation Authority (SBCTA), CS developed an updated version of the San Bernardino Transportation Analysis Model (SBTAM) for analyzing future highway and transit projects in San Bernardino County. The updated version of SBTAM uses the SCAG Subregional Model Development Tool (SMDT), which builds on the SCAG Regional Model. CS refined and calibrated SBTAM to ensure that the unique travel behavior of San Bernardino County residents is accurately represented by the updated model. The updated SBTAM provides SBCTA with a calibrated transit model that has been lacking in previous versions of the SBTAM. Data from the recent Omnitrans survey, along with data from the California Household Travel Survey, was used in the update of the model. SCAG ICTM Enhancement. For SCAG and California Department of Transportation (Caltrans) District 11, CS recently updated the Imperial County Transportation Model (ICTM). The project included review of the prototype model generated by SCAG’s Subregional Modeling Tool (SMT) and key modeling inputs such as traffic analysis zones, trip generation, highway and transit networks, and special model components such as cross-border truck and auto movements. The ICTM was calibrated using SCAG and Caltrans household travel survey data and validated to traffic counts and transit trips collected in 2016. SCAG Transportation and Air Quality Modeling Support. For SCAG, CS completed a three-year contract to provide transportation modeling services to support SCAG’s modeling functions. CS assisted SCAG and their member governments with transportation model maintenance, subarea modeling, performing model runs, and providing modeling and technical support for the Regional Transportation Plan (RTP). Caltrans Transportation Modeling and Forecasting Services On-Call. CS recently provided modeling support for Caltrans District staff throughout California, including Southern California Districts 8 (Inland Empire), 7 (Los Angeles and Ventura), 11 (San Diego and Imperial), and 12 (Orange). CS provided ongoing model training and mentorship ranging from introductory travel demand modeling to advanced topics such as GISDK coding. In addition to training, the project included model application and improvement tasks in various districts such as corridor studies, development of simulation and visualization tools, and improvements to regional models. All tasks were accompanied by thorough documentation, with many training materials posted on an internal Caltrans training website developed by CS. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-4 Teton County Travel Demand Model. CS developed a new model for Teton County, the Town of Jackson, and the Wyoming Department of Transportation (DOT). This travel model is helping the community address several key issues, many related to the unique visitation and residential characteristics in the county. Jackson and Teton County are home to a diverse mix of residents, including both full-time and seasonal residents. In addition, travel by visitors to the area often exceeds activity by residents. In the summer months, visitor activity is driven by Grand Teton and Yellowstone National parks. In the winter months, Jackson Hole Ski Area is a main attraction. An additional consideration is commuter traffic from residents living in nearby communities who travel into the area to work. This model addresses travel from residents, visitors, and commuters and can be run with separate settings for the summer peak, winter peak, and off-peak seasons. The model has been developed largely based on passively collected Big Data that provides a clear picture of the different types of trip-makers in the area. Input from community members also was vital to the model development process. CS has continued to provide Teton County, Wyoming DOT, and the Town of Jackson with assistance applying the travel demand model and using it to support traffic simulations. Mesa County Regional Travel Demand Model Update. CS updated the regional travel demand model. The update incorporated survey data borrowed from the North Front Range Metropolitan Planning Organization (NFRMPO), incorporated new land use and transportation network data, and revised the model to a new base year of 2018. This updated model includes features such as a refined set of trip purposes, sensitivity in trip generation to household sizes and incomes, expansion of the model’s boundary, special University trip processing, and streamlined network processing. The roadway networks use a Master Network procedure that keeps track of all planned and proposed projects. As part of this update, CS improved the master network system for improved data management and ease of use. CS also assisted the metropolitan planning organization (MPO) in updating both base and forecast year socioeconomic data inputs to the model. Location-based services (LBS) data is supporting updates to both external travel estimates and trip distribution patterns. Performance reporting capabilities of the updated model include a dashboard system, automated link-based post processing, and forecasting of intersection turning movements for level of service analysis. Upon completion, CS provided model and software training to MPO staff. NFRMPO Travel Demand Model Update. CS is currently updating the Colorado North Front Range MPO (NFRMPO) Regional Travel Model. The model will feature a new 2019 base year, along with targeted improvements and enhancements. Current updates include a new disaggregate trip generation model with a population synthesizer, the ability to directly represent traffic reduction resulting from transportation demand management programs, and continued improvements to the model’s master network and visualization features. Past CS-led updates and improvements to the travel model have included development of a destination choice model, improved nonmotorized modeling, and better integration of land use and transportation modeling. Primary elements of this project have been documentation of the model and training of MPO staff. Colorado DOT Information Management Branch On-Call. For Colorado DOT, CS has an on-call contract to provide modeling support. Under this contract, CS is currently supporting development of forecasts for Front Range Passenger Rail; troubleshooting and investigating model code, and updating the model where necessary. CS is currently assisting Colorado DOT staff as they develop a new version of the statewide model, validated to year 2019, create a master network (including a master transit network in the Denver region), and incorporate the latest assumptions from the MPOs. Denver RTD Modeling and Operations On Call. CS had an on-call contract with the Regional Transportation District (RTD) of Denver to support modeling efforts, including assistance with travel model applications, model maintenance and updates, and emerging issues in travel modeling. CS provided assistance with the RTD Bus Rapid Transit (BRT) Study in which CS prepared forecasts for 30 candidate BRT corridors as part of a multitier effort. In another effort for RTD, CS completed a two-step process to evaluate the performance of the Denver Regional Council of Governments (DRCOG) Focus model in estimating transit ridership forecasts, in coordination with DRCOG staff, and then implemented proposed changes. This effort also included validation to 2015 and 2019, which provided valuable insights into the model and transit ridership during this time. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-5 Denver Strategic Transportation Plan. For the Denver DOT and Infrastructure (DOTI), CS developed a Strategic Transportation Plan, Denver Moves Everyone (DME). CS adapted the DRCOG Focus model to better suite Denver’s needs, including calibrating and validating the model within Denver, updating the commercial vehicle model, accounting for Connected and Autonomous Vehicles, and integrating the model with an exploratory analysis tool (TMIP-EMAT). AAMPO Mobility 2050 Demographics and Travel Demand Model Update. For the Alamo Area Metropolitan Planning Organization (AAMPO), CS recently updated the regional travel model. This update included expansion of the model to additional counties, refinement of the existing model system, and validation to pre-pandemic 2020 data. CS developed submodels such as airport, visitor and external models, calibrated and validated the updated model using available data sources, and appl the travel demand model in support of city, transit agency, and MPO transportation planning efforts. Other tasks included providing guidance on interregional modeling between the Austin and San Antonio regions as well as the introduction of Dynamic Traffic Assignment to the region. El Paso MPO Travel Demand Model Calibration Support. For the El Paso MPO, CS developed a new TransCAD-based travel demand model. This new model system builds on the successful Destino Model previously developed by CS. The new model includes updated forecast socioeconomic data developed through a Delphi process. The update also includes complete recalibration of each model step. This update was paired with development of an international travel demand model that represents travel between El Paso and Ciudad Juárez and includes a set of border crossing simulation models that dynamically assign traffic at ports of entry. Model development also made use of LOCUS data to provide valuable insights into travel patterns both within the El Paso MPO region as well as into cross-border travel patterns. WAMPO Travel Demand Model Update and Support. For the Wichita Area Metropolitan Planning Organization (WAMPO), CS performed a comprehensive model update. All aspects of the WAMPO model were updated using collected survey data, including household survey, external station, and travel- time survey data. The model update process followed a stepwise validation procedure, in which each model component was compared independently to observed data and reasonableness measures. In addition, a model validation task force consisting of representatives from the MPO member jurisdictions was formed. This task force facilitated community and stakeholder input, while improving confidence in the updated travel model. Upon model completion, CS provided complete documentation, training, and model application support to WAMPO. KATS Travel Demand Model Development and Improvements. For the Kalamazoo Area Transportation Study (KATS) in Michigan, CS recently performed a model update. The Kalamazoo area was recently designated as a Transportation Management Area, so the area required improved modeling tools to support planning activities. This model update included use of the Michigan Travel Counts household survey data to tailor the model to conditions in the Kalamazoo area. The update also included improvements such as time-of-day processing, mode choice, and increased market segmentation. Training activities were conducted throughout the model update process, allowing KATS staff to take ownership of the new model and confidently maintain and apply the model upon project completion. CS remains under contract with KATS to provide as-needed ongoing model support and maintenance. Central Coast Transportation Consulting SLO City LUCE Update. CCTC provided extensive support services to assist the consultant team and City staff in delivering the updated Land Use and Circulation Elements (LUCE) within tight scheduling constraints. Tasks included travel demand modeling support, including alternatives testing and sensitivity analyses; mode split adjustments to the model; operational tests using the City’s Synchro network; public meeting facilitation; and document review. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-6 SLO City Travel Demand Model Updates. CCTC, as a subconsultant to CS, assisted in the most recent update of the City of San Luis Obispo’s Travel Demand Model. Tasks included traffic analysis zone refinement, land use updates, model testing, and documentation review. SLO City Other Projects. CCTC has been involved in a variety of other projects in the City which gives us unequaled familiarity with active and planned land use and transportation infrastructure projects in the City. These projects include the Avila Ranch TIS, San Luis Ranch SEIR, MindBody traffic study and signal design; MASP Western Enclave traffic study and associated Prado/Higuera signal modification; 650/660 Tank Farm TIS; Chevron Tank Farm Remediation and Redevelopment EIR; Prado Bridge Widening Project; Marsh Street Bridge Replacement Project; San Luis Obispo High School Access Plan; Chevron Cost Estimates Project; and University Square Shared Parking Analysis. 2.3 Proposed Staff The proposed CS and CCTC team is comprised of professionals with direct experience developing and applying the City of San Luis Obispo Travel Model. Below are brief biographical sketches of our proposed project management team. Full résumés for all proposed staff immediately follow this section. Sean McAtee, our proposed Principal-in-Charge (PIC), is a Principal of CS with over 20 years of experience in travel model development and application. He works with trip-based and activity-based travel models throughout the country. Mr. McAtee has developed and applied travel models in large regions such as Southern California and the New York City Metropolitan Area; for State DOTs including Colorado, California, and Michigan; and for numerous cities and MPOs. He was a key contributor to the original development of the SLO Citywide Model, and continues to provide support in updating and applying the model. Mr. McAtee has developed methods of utilizing passively collected data from various sources in the model development and calibration process, and has created visualization and dashboard tools that help make use of model results more efficient and intuitive. Mark Feldman, PTP, our proposed Project Manager (PM), is a Senior Associate of CS and a Professional Transportation Engineer/Planner with 18 years of industry experience. He has been involved on a broad range of projects using both regional and statewide travel demand models, including but not limited to studies of local traffic impact and development fees, regional highway and transit, toll roads and statewide tolling programs, intercity rail, and stand-alone city/county scale model development and calibration. Mr. Feldman has worked extensively with several sources of model input data such as connected device-based origin-destination data, travel time data, stated-preference surveys, and traffic counts. He has played many roles on these projects, including data analyst, lead model programmer, technical specialist, internal task manager and client contact. Zahra Navidi, our proposed Deputy Project Manager, is a Senior Associate of CS with a solid background in modeling and analysis, complemented by extensive project management experience in the transport and energy sectors. Ms. Navidi’s expertise lies in agent- and activity-based models (ABM), paired with a strong track record in managing projects and engaging stakeholders effectively. She is driven by a passion for drawing data-driven insights and recommendations to inform investments or planning decisions. Some of her technical skills include programming with Python, Java, R, and SQL, modeling with EMME, ActivitySim, Multi-Agent Transport Simulation (MATSim), CUBE, AGENT, and geospatial work using QGIS, ArcGIS, and GeoPandas. Additionally, she utilizes proficiency in a variety of other industry tools for machine learning algorithms, data modeling and analysis, and visualization. Sean McAtee Principal www.camsys.com Mr. McAtee is a Principal of Cambridge Systematics (CS) with over 20 years of experience in travel model development and application. He works with trip-based and activity-based travel models throughout the country. He has developed and applied travel models in large regions such as Southern California and the New York City Metropolitan Area; for state DOTs including Colorado, California, and Michigan; and for numerous cities and MPOs. He was a key contributor to the original development of the SLO Citywide Model, and continued to provide support in updating and applying the model. He has developed methods of utilizing passively collected data from various sources in the model development and calibration process, and has created visualization and dashboard tools that help make use of model results more efficient and intuitive. Relevant Experience San Luis Obispo Citywide Travel Model. Mr. McAtee has managed multiple updates to the City of San Luis Obispo’s focused city travel model. This model is a focused version of the SLOCOG model that provides enhanced detail with the City’s sphere of influence. The citywide model includes more refined zone structures, an enhanced mode choice model, and trip generation and distribution models based on the latest California Household Travel Survey. It also includes a university special generator and production allocation model to more accurately represent activity associated with the CalPoly campus. Mr. McAtee originally developed this model in 2010 and has provided occasional updates and enhancements since then. The most recent effort included a complete review, update, and re-validation of the model. Upon completion of the latest update, Sean led application of the model to extract VMT data relevant to SB-743. Irvine Transportation Analysis Model Development. Mr. McAtee is managing an on-call project with the City of Irvine to update and improve the Irvine Transportation Analysis Model (ITAM). Initial updates brought ITAM up to date with the current version of the countywide model, OCTAM. ITAM has been developed to interface directly with OCTAM, enabling the city to keep ITAM up to date efficiently as OCTAM is updated. CS added functionality to ITAM that helps model users more efficiently work with results. This includes a vehicle-miles traveled (VMT) toolbox that calculates VMT generated by any zone or set of zones, as well as a turn movement processing function that interfaces with Irvine’s traffic study requirements. Mr. McAtee assisted the City in development an updated set of traffic study guidelines that address VMT as required by SB-743 and that are consistent with guidance from the Governor’s Office of Planning and Research (OPR). This process involved training and discussion with numerous agencies, developers, and consultants to ensure the guidelines would best meet local needs. SBTAM Plus. Mr. McAtee recently completed development of a new version of San Bernardino Transportation Analysis Model (SBTAM). This new model uses an entirely re-designed system developed to meet SBCTA’s specific needs and to facilitate VMT analysis in the context of SB-743. The new model includes robust destination and mode choice models, tolling assignment, and embedded reporting and mapping systems. The model retains consistency with the parent SCAG model while adding detail and functionality required to support local planning activities. The updated model was calibrated using household travel survey data and validated to both traffic counts and transit ridership data. The new system is integrated with an online StoryMap that provides access to information about the model and model data. Sean McAtee Teton County Travel Model. Mr. McAtee led development of a new model for Teton County, the Town of Jackson, and WYDOT. This travel model is helping the community address several key issues, many related to the unique visitation and residential characteristics in the county. Jackson and Teton County are home to a unique mix of residents, visitors, and commuters. Travel by visitors to the area often exceeds activity by residents. An additional consideration is commute traffic from residents living in nearby communities who travel into the area to work. The Teton County Travel model addresses travel from each of these groups and can be run with separate settings for the summer peak, winter peak, and off-peak seasons. The model has been developed largely based on passively collected Big Data that provides a clear picture of the different types of trip-makers in the area. Input from community members has also been vital to the model development process. Mr. McAtee held information sessions and workshops to share information about the project and gather input and information from community members. Mesa County Regional Travel Model Update. Mr. McAtee performed an update to the Regional Travel Model for the Metropolitan Planning Organization (MPO) of the Mesa County area. Several enhancements were made to this TransCAD model, including new trip purposes, increased trip generation sensitivity to household sizes and incomes, expansion of the model’s boundary, special University trip processing, and streamlined network processing. New external travel estimates were made based on an External Travel Study conducted during a prior model update. Performance reporting enhancements include NCHRP 255-based post processing and forecasting of intersection turning movements for level of service analysis. Mr. McAtee has helped update and maintain the Mesa County travel model for numerous projects over the past ten years, with the most recent update ongoing and scheduled for completion in summer of 2024. El Paso MPO RMS Travel Demand Model. Mr. McAtee managed an update to the El Paso MPO’s regional travel demand model, updating the model to a new base year. Built on the TexPACK modeling system in the TransCAD software platform, this model includes added features and functionality important to the El Paso region. This includes data, area type, and network management consistent with MPO needs, a fully featured transit and mode choice model, summary and performance measure reporting, and an interactive dashboard for investigation of model results. This model update also included training of MPO, consultant, and TxDOT staff. The project included implementation of a Delphi Process that produced updated land use forecasts, and also produced a new cross-border model that provides new tools for use in forecasting interaction between El Paso and neighboring Juarez. Colorado North Front Range MPO Travel Model. Mr. McAtee has provided ongoing assistance and advice to staff at the Colorado North Front Range MPO (NFR MPO) during their efforts to continually update, maintain, and apply their regional travel model over the past 15 years. Past updates and improvements to the travel model have included development of a destination choice model, improved non-motorized modeling, and better integration of land use and transportation modeling. Recent updates have included addition of a new disaggregate trip generation model, the ability to directly represent TDM programs, and continued improvements to the model’s master network and visualization features. Primary elements of this project have been documentation of the model and training of MPO staff. Mr. McAtee has provided training in the operation of TransCAD and on the methodology to be used in updating and maintaining the model. SCAG Imperial County Travel Model. Mr. McAtee managed an update to this TransCAD model based on the Southern California Association of Governments (SCAG) subregional modeling development tool. The model update includes collection of traffic counts in the region, followed by a stepwise calibration and validation procedure based on both household travel survey and traffic count data. The revised includes improved traffic analysis zone and roadway network detail in the county, as well as special treatment of border crossings. Training of local Caltrans staff was an important part of this effort. Education B.S., Civil Engineering, Colorado State University, 2002 Mark Feldman, PTP Senior Associate www.camsys.com Mark Feldman is a Senior Travel Demand Modeler and Senior Associate of Cambridge Systematics, Inc. (CS) and a Professional Transportation Engineer / Planner with 18 years of industry experience. Mr. Feldman recently joined the firm and brings expertise in travel demand forecasting, traffic and revenue studies for toll roads, transit ridership forecasting, and discrete choice modeling. His software skills include TransCAD, Cube, and various statistical modeling platforms. Additionally, he has several years’ experience in project management and proposal writing. Relevant Experience Travel Demand Modeling. Mr. Feldman’s 18 years of experience include both model development and application. He has modified and applied models for use in a wide variety of projects, including model development, studies of toll roads, short term and long range planning, highway improvement, transit- oriented development, and development impact fees. He has also developed and updated trip-based model platforms for small cities and counties. His software expertise includes both Cube and TransCAD. Traffic and Revenue Forecasts of Toll Roads. While with previous firms, Mr. Feldman has served as Lead Modeler and Internal Project Technical Leader for investment grade studies of both existing and proposed tolled facilities across the United States. He performed data collection, travel demand model calibration and traffic assignments, development of revenue streams, and task management. Mr. Feldman also coordinated discrete route choice model development from stated-preference survey data. Transit Ridership. With previous firms, Mr. Feldman has led a study of the effects of on time performance and fuel prices on Amtrak rail ridership, performed intercity rail ridership forecasting with stated-preference surveys and travel demand models, developed quick-response statistical ridership models for metropolitan transit districts, and performed policy studies such as a proposed zonal pass program and proposed late night service. Statistical Modeling. Throughout his career in transportation planning, Mr. Feldman’s strong math and statistics background has led him to several research-oriented projects, such as discrete choice models of route choice or travel mode choice from survey data, regression models of transit ridership, mixed-use trip generation models, and statistical analysis of pedestrian crosswalk effectiveness. Selected Projects Mesa County Travel Demand Model Update. Mr. Feldman has been the internal project manager and primary client contact for an update to a four step trip based travel demand model for Mesa County, Colorado in the TransCAD software platform. The update includes the collection of new socioeconomic, traffic count, travel time and transit data, and the conversion of traditional trip generation and trip distribution steps to a synthetic population generator and destination choice models. LOCUS origin- destination data was used to provide independent estimates of trip generation, travel patterns and trip lengths in the county to aid in the calibration and validation of the model. CS is also updating and Mark Feldman, PTP streamlining the user interface, and expanding the model output reports to include easy visualization and comparison of emissions-related measures. WisDOT Cube Model Updates. For Wisconsin DOT (WisDOT), Mr. Feldman is part of a team at CS updating and standardizing a series of MPO models in the Cube software platform. Part of the effort is a cleanup and reorganization of the models’ file and folder structure, user interface and scripting to ensure consistency and streamline forecasts and updates going forward. These changes will be tested by implementing updates to the base years in several cases with newer socioeconomic forecasts, traffic count data and base and future network updates. Sounder S Line Off-Peak and Weekend Ridership Analysis. Mr. Feldman led a study to provide SoundTransit (Seattle area) with a quick response spreadsheet tool to estimate ridership on the Sounder commuter train S line in scenarios involving expansion from the current peak period-only service times to off-peak and/or weekend service. The study involved combining existing ridership and Replica trip-making data in the train station’s travel sheds, as well as research on existing train systems’ headway elasticities and weekend vs. weekday ridership patterns. Hampton Roads Express Lanes Level 2 / 3 Weekday and Summer Weekend Traffic and Revenue Studies. While with a previous firm, Mr. Feldman led an update of the investment grade study of the proposed express lane network in the Hampton Roads / Norfolk / Newport News VA area, as well as a level 2 study of expanding the tolling hours to weekends. The express lanes would help finance the capacity expansion of the Hampton Roads Bridge Tunnel (HRBT) between Newport News and Norfolk, VA. Both the weekday update and the weekend project included optimization of toll rates to meet throughput objectives while simultaneously ensuring the express lanes would provide sufficiently faster travel during high demand periods both in weekday peak times and frequently-congested weekend afternoons, particularly in the summer months. The weekend analysis included the collection of origin- destination data across all days of the week to develop trip matrices for weekend time periods. Education M.S. in Industrial Engineering and Operations Research University of California, Berkeley, 2005 B.A. in Mathematics, Chemistry Oberlin College at Oberlin, OH, 1995 Certification Professional Transportation Planner (PTP), 2021 Zahra Navidi, Ph.D. Travel Demand Modeler Senior I (Sr. Associate) www.camsys.com Zahra Navidi is a Senior Associate of Cambridge Systematics, Inc. (CS) with a doctorate degree in Engineering. As a proactive and detail-oriented professional, she has a solid background in modeling and analysis, complemented by extensive project management experience in the transport and energy sectors. Ms. Navidi’s expertise lies in agent- and activity-based models (ABM), paired with a strong track record in managing projects and engaging stakeholders effectively. She is driven by a passion for drawing data-driven insights and recommendations to inform investments or planning decisions or solve business problems. Some of Ms. Navidi’s skills include programming with Python, Java, R, and SQL, modeling with multimodal equilibrium/equilibre multimodal (EMME), ActivitySim, Multi-Agent Transport Simulation (MATSim), CUBE, AGEN, and geospatial work using QGIS, ArcGIS, and GeoPandas. Additionally, she utilizes proficiency in a variety of other industry tools for machine learning algorithms, data modeling and analysis, and visualization. Ms. Navidi leverages her strategic thinking, inquisitive nature, and collaborative skills to develop comprehensive solutions and address the unique challenges faced by each client. Relevant Experience KPMG Manager—Infrastructure, Assets and Places, Melbourne. Prior to joining CS, Ms. Navidi led and contributed to multiple projects, which focused on designing and developing advanced strategic models, and analytical tools using Python, Java, or R, for governments and other large organizations. She communicated complex model features and project outcomes to stakeholders of varying technical backgrounds through reports and presentations. Ms. Navidi conducted client training sessions and addressed technical inquiries, as well as engaged with clients to identify growth areas and future opportunities. This included formulation of go-to-market strategies for both new and existing capabilities and organizing client workshops to facilitate productive discussions. She managed digital transformation efforts within the business unit, transitioned on-premises infrastructure to cloud-based solutions for enhanced efficiency and scalability, and oversaw contract compliance, project budgeting, task allocation, and resource management. Ms. Navidi also coached junior team members to set and achieve their goals. Sample projects included: • Confidential Client, MATSim-Based Transport Model. Before joining CS, Ms. Navidi led the development of a MATSim-based transport model, using real world and synthetic data to project likely future changes in transport and travel patterns to inform the client’s investments. As the Project Manager, she was responsible for communicating with the client and capturing their requirements for solution design and feature prioritization, leading the codebase development in Java and Python, and managing the project and budget. Ms. Navidi also frequently engaged with technical and non-technical clients to discuss output and insight and answer their inquiries. • TfNSW Transport Modeling. While working on a team of consultants prior to joining CS, Ms. Navidi delivered a proof-of-concept ActivitySim model for Sydney Greater Metropolitan Area o modernize Transport for New South Wales’ (TfNSW) transport modeling practice. Within this team, she played a role as a Development Team Member, directly supporting the lead developer and taking charge of creating all the output processing codes. Zahra Navidi, Ph.D. Senior Consultant—Veitch Lister Consulting and KPMG, Melbourne. Before joining CS, Ms. Navidi worked within a team of developers to design and productize an Australian-wide travel model for Outdoor Media Association. She collaborated with clients across multiple projects to enhance Australia's first strategic transport agent-based model, the Melbourne Activity-Based Model (MABM), by identifying and implementing features that addressed their specific needs. Ms. Navidi managed cross-functional work streams in large-scale projects to ensure consistency and alignment across multidisciplinary teams. She also prepared data analysis and visualizations, including maps, to effectively communicate valuable insights to the clients. Additionally, Ms. Navidi provided training and guidance to junior team members in technical skills. Sample projects included: • Outdoor Media Association Population Synthesis. Prior to joining CS, Ms. Navidi led development of an Australian-wide population synthesis model, as part of a national wide outdoor audience measurement system for billboards. In this role, she engaged with diverse internal and external stakeholders to procure the necessary data inputs for the database. Ms. Navidi collaborated closely with a multidisciplinary team consisting of developers and data scientists to develop the essential codebase and conduct rigorous testing to ensure the proper functionality of the system, employing advanced statistical methods in Python. Additionally, she had the responsibility of presenting the outcomes to stakeholders, and iteratively refining the model based on their feedback. • Victoria B.C. Suburban Rail Loop Program. While with a previous firm, Ms. Navidi led the customer insight stream of a high-profile investment case in Victoria, British Columbia (B.C.). She used real- world and synthetic data from MABM to draw insight about the users of this major infrastructure to inform planning and policy design. Leading a team of data scientists and modelers, Ms. Navidi was responsible for collaborating with a multidisciplinary team of planners, economists, and lawyers to deliver. Melbourne Transport Modeler. Prior to joining CS, Ms. Navidi supported Melbourne-area demand modeling in major transport infrastructure projects. She contributed to project-specific model development and created analytical content and visualizations to inform clients about the future impact of infrastructure investments. Audi Electronics Venture GmbH VISSIM. As a Research Intern in Munich, Germany, Ms. Navidi developed a Car2X based road condition prediction system. To that end, she employed a traffic microsimulation software (VISSIM) and its Python API to determine the minimum number of cars equipped with a certain driver assistance system required for the new system. She also performed statistical tests to assess the robustness of the models. Education Ph.D., Engineering, University of Melbourne, Australia, 2019 M.Sc., Transportation Systems, Technische Universität München, Germany, 2014 B.Sc., Engineering, K.N. Toosi, Technical University, Iran, 2010 Jill Hough, PTP Senior Project Manager www.camsys.com Jill Hough is a Senior Project Manager who recently joined Cambridge Systematics, Inc. (CS) with more than 30 years of experience in the transportation industry. She has successfully led numerous transportation projects for the Bay Area Rapid Transit (BART) system, Caltrain, California DOT (Caltrans), individual municipalities, transportation agencies, and congestion management agencies. Ms. Hough is adept at developing comprehensive multimodal data- driven solutions that address the policy goals of multiple stakeholders. She has a keen understanding of multimodal transportation performance with varying objectives and associated interactions of land use and socioeconomic and demographic factors. Relevant Experience Caltrans Statewide CMCP Technical Assistance. Ms. Hough is managing deliverables for providing technical assistance and support with a range of aspects related to the Comprehensive Multimodal Corridor Plans (CMCP) process, from training in travel demand forecast modeling software tools; to evaluating vehicle miles traveled (VMT) and vehicle hours traveled (VHT) to meet key climate requirements at the State level; to providing assistance to rural agencies in completing grant applications for CMCPs and other corridor grant funding. The project is being conducted for all Caltrans districts, including headquarters. LA Metro Measure M Performance Evaluation, I-710 Long Beach to East LA Mobility Investment Corridor Plan. Working with the Los Angeles County Metropolitan Transportation Authority (LA Metro), Ms. Hough is leading the quality assurance and quality control of travel demand model forecast resultant metrics for proposed improvement projects within the I-710 corridor from Long Beach to East Los Angeles; for their reasonableness from a broad perspective and with respect to their transportation policy and decision implications. Caltrans On-Call Transportation and Traffic Operations. Working with Caltrans District 12, Ms. Hough is managing an Access Point Weaving Impact Study to assist the District with Action Plans for high- occupancy vehicle (HOV) operations and performance; and address the District’s challenges in meeting Federal requirements. The primary focus of the study relates to analyzing weaving impacts on HOV lane speed degradation and evaluating alternatives to improve speed. New Mexico DOT I-40 and NM 380 Grant Applications. Ms. Hough was the task lead for grant applications for a project on I-40 near Albuquerque, New Mexico to increase a critical bridge elevation to significantly reduce highway overtopping and lane closures; as well as a project to add improved shoulders on a New Mexico rural highway to improve multimodal safety. She was responsible for completing the narratives and outcomes sections of the grant application packages. Senior Transportation Planner and Travel Demand Forecasting Lead. While with another firm, Ms. Hough led the VMT evaluation for the proposed Stillwater Business Park Transportation Analysis in the City of Redding, CA. This included modeling the project with the ShastaSIM travel demand model. While working with Fresno Council of Government staff in the land use model forecasts and Activity- Based Model forecast, Ms. Hough led the evaluation of VMT for the County’s General Plan Update program and developed transportation demand management (TDM) recommendations in accordance with Fresno Counties Senate Bill (SB) 743 policies and General Plan transportation policies. For the Town of Loomis, CA, Residential Transportation Impact Analysis, Ms. Hough directed the process and completed the delivery of VMT evaluation using the Sacramento Activity-Based Travel Simulation Model Jill Hough TDM for a residential development. For the Greentree Mixed Use Development Project, in the City of Vacaville, CA, Ms. Hough led the transportation analysis evaluation of VMT for mixed-use development of hotel, residential, and retail locations. For the City of Suisun City, CA, Ms. Hough led the transportation analysis evaluation of VMT for residential development and the development of TDM recommendations for the Marina Village Development Project. For the City of Galt, CA, SB 743-related Transportation Analysis Guidelines, Ms. Hough led the effort to establish VMT thresholds to address the requirements of SB 743 and develop VMT methodologies to evaluate the California Environmental Quality Act (CEQA) related transportation impacts. Principal Project Manager. While with another firm, Ms. Hough managed the travel demand forecasting studies and provided strategic oversight on the traffic operations analysis for the California State Route 262 (Mission Boulevard) Cross-Connector Improvements Project. She worked with conceptual drawings from an engineering team and directed transportation planning and forecasting of transportation patterns in a highly congested corridor of Fremont, CA, heavily utilized by trucks and connecting two freeways. The forecast commute patterns included commuting via alternate modes and was evaluated from a vehicle miles traveled perspective, which was used to inform greenhouse gas (GHG) emissions. Ms. Hough also was responsible for presenting the results of these efforts to a team of highway, transportation, and traffic engineers across local and regional stakeholders. For the Santa Clara Valley Transportation Authority (VTA), Ms. Hough led studies of transit-oriented development (TOD) analyses at the Cottle, Branham, Almaden, and Tamien light rail stations. Ms. Hough focused on meeting CEQA-related transportation and VMT-related GHG emissions performance goals for development. Ms. Hough also worked with the Santa Clara VTA to define specific proposed TDM measures at each site and led the transportation and parking data analyses. For the Traffic Impact Analysis Guideline Update for the City of Menlo Park, CA, Ms. Hough directed the process and completed the analytical data generation for calculation of Citywide as well as all parts of the City and the region using the City’s travel demand model; and worked closely with City Staff in establishing a VMT evaluation framework for purposes of CEQA analyses of future development and adoption of SB 743. Ms. Hough led the transportation data analysis project to analyze the effects of economic development strategies and urban planning concepts for large Transit-Oriented Communities at future BART stations in Downtown San Jose, CA which were designed to meet transit-oriented development (TOD) policy. The resulting forecast was a reduction in single-occupant vehicles and increased mobility for the BART stations. Her approach also addressed accessibility planning for future BART stations. For the San Francisco International Airport (SFO) Annual Development Plan “Environmental Impact Report,” Ms. Hough developed an analytical framework to evaluate the SFOs passenger annual development program relative to future transportation parking infrastructure needs. A critical component of the parking analysis was to evaluate the effects of transportation network companies on future parking needs. To address this, Ms. Hough implemented a data-driven transportation planning framework to forecast Transportation Network Companies' (TNC) usage and showed that increases in TNC usage would be significant with important implications for critical decisions about investment in expensive parking infrastructure. Independent Contractor. While working as an independent contractor, Ms. Hough researched innovative analytical tools and applications for transportation planning studies and programs. She customized analytical frameworks in the transportation systems space and developed analytics in transportation and land use spaces. Utilizing operations research principles, Ms. Hough developed, applied, and customized demand forecasting models. She focused on data visualization to solve big-data transportation problems and gain insights into travel behaviors that lead to transportation planning strategies/actions. Education B.S., Science and Civil Engineering, Carnegie Mellon University, 1987 Certifications Professional Transportation Planner Mathew Trostle Associate www.camsys.com Mathew Trostle is an Associate at Cambridge Systematics, Inc. (CS) with a background in travel model development and application, data analysis, GIS analysis, and transportation safety planning. He has experience in development and application of trip-based and activity-based travel demand models. Mr. Trostle has also made contributions in data validation, network coding, data visualization, and alternatives analysis for numerous travel-demand forecasting projects from statewide model development to subarea modeling and corridor studies. Relevant Experience San Luis Obispo Council of Governments Model Update. Mr. Trostle contributed to the development of an updated travel model for the City of San Luis Obispo including developing a citywide model network from a combination of existing local and regional models and incorporating a model bicycle network based on bicycle facilities into the San Luis Obispo area as part of the TransCAD based travel model. Port of Los Angeles and Port of Long Beach. For the Port of Los Angeles and the Port of Long Beach, Mr. Trostle post-processed, mapped, and summarized model results for specific locations, vehicle types, and vehicle miles traveled as part of ongoing projects analyzing traffic and environmental impacts for analyses representing various future plans for the ports and the surrounding areas. He also performed network edits for future the project options and prepared summary results comparisons for project alternatives using TransCAD software. Orange County Transportation Authority. For OCTA, Mr. Trostle contributed to the development of an updated travel model including calibration and validation using traffic counts and Location Based Services data. Mr. Trostle helped to implement Travel Demand Management into the modeling capabilities. Work also included improvements to the user interface, reporting, and mapping capabilities. Denver RTD BRT Feasibility Study. For the Denver Regional Transportation District (RTD), Mr. Trostle performed travel demand model runs and analysis for the evaluation of multiple potential Bus Rapid Transit (BRT) routes. He coded transit routes and updated the TransCAD based travel model GISDK script to accommodate a new BRT transit mode. Work also included generation of spatial visualizations and summaries of transit ridership by route and systemwide, transit and auto travel times, and roadway congestion for each modeled BRT route. Colorado DOT State Highway 470 PEL Study. Mr. Trostle assisted in application of the Denver Regional Council of Government’s regional activity-based travel model, FOCUS, for a subarea study involving an extraction of a subarea trip table from the regional model and an origin-destination matrix estimation (ODME) process using recent traffic counts to update the subarea trip table for the study area. The project involved application of this model for several future year project alternatives. Colorado North Front Range MPO Travel Model. Mr. Trostle contributed to updates, maintenance, and application of the regional travel model for the Colorado North Front Range metropolitan planning organization (MPO). Project tasks have included updating the travel model base year, along with various improvements for better integration of land use and transportation modeling. Mr. Trostle helped to implement an improved bicycle model that incorporates traffic stress as well as bicycle facility type. Mathew Trostle VIA Transit Alternatives Analysis. Mr. Trostle contributed to the San Antonio, TX VIA Metropolitan Transit long 2040 long-range plan modeling. He performed network and transit route coding updates in TransCAD for the VIA 2040 long-range transportation plan. The long-range plan includes roadway, bus, and rail transit, as well as land use and development model alternatives for the city of San Antonio and surrounding area. Mesa County Colorado Travel Model Update. Mr. Trostle contributed to updates, maintenance, and application of the regional travel model for Mesa County in Colorado. Project tasks have included updating the travel model base year, updating model networks, reviewing Traffic Analysis Zones, updating traffic count data, calibrating, and validating the model, and implementing a new master network and project alternative system into the model user interface. WAMPO Travel Model Update. For the Wichita Area MPO (WAMPO), Mr. Trostle contributed to updates, maintenance, and application of the regional travel model. Project tasks have included updating the travel model base year, updating model networks and transit route systems, reviewing Traffic Analysis Zones, updating traffic count data, calibrating, and validating the model, and implementing a new master network and project alternative system into the model user interface. Lincoln MPO Travel Model Update. Mr. Trostle contributed to updates, maintenance, and application of the regional travel model for the Lincoln, Nebraska MPO. Project tasks have included updating the travel model base year, updating model networks and transit route systems, reviewing Traffic Analysis Zones, updating traffic count data, incorporating a new mode choice component into the model, and calibrating and validating the model. Work also included performing forecast year model runs and preparing model output summaries. Teton County Travel Demand Model. For the Town of Jackson, Teton County, and the Wyoming DOT, Mr. Trostle contributed to the development of a new multimodal travel demand model for this community which experiences heavy visitor impacts during summer and winter peak seasons. The Teton County Travel Model accounts for trips by residents, workers, and visitors and includes a mode choice step capable of representing auto, transit, walk, and bicycle trips. The resulting model represents conditions during three seasons: the summer peak, the winter ski season, and the off-peak shoulder season. Mr. Trostle developed a model network and traffic analysis zone structure for the new model, developed socioeconomic data inputs, and utilized traffic count and Location Based Services travel data for model calibration and validation across all three seasons represented in the model. SEMCOG Model Development. Mr. Trostle has contributed to the development of an updated regional travel model for the Southeast Michigan Council of Governments (SEMCOG) including determination of travel analysis zone area type using socioeconomic data and destination choice model calibration. Sean processed the GPS based location and time trips data from a recent household travel survey along with census and American Community Survey data to create trip tables and other tools for use in the development and calibration of trip rates, trip distribution, travel modes, and network speeds in the updated model. Education M.Eng., Civil Engineering (Transportation Systems), University of Colorado Denver, 2015 B.S., Aviation Technology, Metropolitan State University of Denver, 2007 Xinbo Mi Associate www.camsys.com Xinbo Mi is an Associate of Cambridge Systematics (CS) with six years of experience in travel demand modeling, microsimulation modeling, big data analytics, and customized tool development. He is dedicated to making effective, efficient and user-friendly models, and building tools to automate repetitive labor-intensive procedures. Mr. Mi also serves as a board member in Zephyr Foundation for Advancing Travel Analysis. Prior to joining CS in the Fall of 2023, he served as a Senior Transportation Engineer at the Evansville Metropolitan Planning Organization (MPO) in Indiana. Relevant Experience SBTAM Update. Mr. Mi contributed to development of the San Bernardino Transportation Analysis Model (SBTAM) Plus, the travel demand model for San Bernadino County, CA. He programmed GISDK scripts to adjust and improve the model structure an interface, and contributed to development of standardized model summary reports. Mr. Mi assisted in network development, performing quality assurance/quality control (QA/QC) on network connectivity and integrating traffic counts to the model network. He also helped prepare forecast year model input datasets. Irvine Travel Demand Model Tools Development. Mr. Mi is contributing to development of the Irvine Transportation Analysis Model (ITAM), the model for the City of Irvine, CA. He is developing mapping and analysis tools that allow comparison of TAZ-level land use datasets as well as tracking and analysis of select zone model results associated with development proposals. Caltrans TransCAD Training. As the instructor, Mr. Mi created easy-to-follow videos, quizzes, and exercises covering Basic, Intermediate, and Advanced TransCAD topics. Mr. Mi also took part in Q&A sessions, helping participants understand the concepts. With a total of 23 sessions, Mr. Mi made the training engaging and effective. This initiative equipped the California DOT (Caltrans) team with valuable skills to use TransCAD proficiently in their projects. Alamo Area MPO Travel Demand Model Update and Tool Development. Mr. Mi is participating in updates to this model for the San Antonio, TX MPO. Tasks have included updating and improving the model reporting features, make user interface improvements, and developing QA/QC tools that automatically detect potential network coding errors. Teton County Travel Demand Model Update and Tool Development. Mr. Mi is helping update the travel demand model for Teton County, WY. Work has included development of a tool that automatically scales origin-destination (O-D) matrices datasets obtained from big data sources to match traffic counts while retaining travel patterns from the original dataset. He has also updated transit route systems and highway networks to reflect current service in the County, updated socioeconomic datasets to reflect a new base year, and populated highway networks with traffic count data. NYMTC Travel Demand Model Calibration. For New York Metropolitan Transportation Council (NYMTC), Mr. Mi is contributing to calibration and validation improvements in this model for the New York City Metropolitan Area. He is performing calibration runs and summarizing component results for use in stepwise calibration and improving automation of various modeling tasks. This includes development of Python-based tools that streamline the model review, adjustment, and calibration process. This Xinbo Mi automated process replaces a cumbersome manual process, reducing time for relevant tasks by roughly 95 percent. Evansville MPO Travel Demand Model Development. While working for the Evansville MPO, Mr. Mi developed the agency’s new regional travel demand model independently from scratch. The model uses TransCAD flowchart model and is implemented using the GISDK programming language. He documented the model development process and resulting procedures in detail. In addition to traffic count data, the model utilized big data as an input data source for external and truck trips. Evansville MPO Red Flag Investigation Tool Development. While working for the Evansville MPO, Mr. Mi developed a red flag investigation tool. This tool, implemented in ArcGIS Pro using Python (ArcPy), automatically generates a red flag investigation report with just one click. Evansville MPO Various Project-Level Analyses. While working for the Evansville MPO, Mr. Mi analyzed travel demand model results and built microsimulation models to provide more detailed analysis when needed. He also reviewed traffic impact studies and design proposals. Evansville MPO Observed Travel Time Data. While working for the Evansville MPO, Mr. Mi developed innovative techniques that use the Google API to extract travel time data by time of day. This updated approach replaced inefficient data acquisition methods previously used by the agency. Mr. Mi developed a Python-based tool that automatically conducts this process. Education M.S., Aerospace Engineering, Purdue University, 2017 B.Eng., Aerospace Engineering, Northwestern Polytechnical University, 2015 Katherine “Kate” Dannemiller Travel Demand Modeler www.camsys.com Kate Dannemiller is a Travel Demand Modeler of Cambridge Systematics Inc. (CS) and brings an extensive knowledge in regression analyses and data manipulation—using both R and Python. Across CS projects, she has experience in network coding, model estimation and calibration, as well as model practitioner reports. Prior to joining CS, Ms. Dannemiller worked as a Research Assistant in Transportation Behavior Analysis studying the impacts of emerging transportation modes on traveler behavior. She remains enthusiastic about transportation research and hopes to one day live in a sustainable and connected Texas, where Texans need not own a vehicle. Relevant Experience Middletown Network Bus Redesign. CS aided in the redesign of the current Middletown bus network in Orange County, NY. Considering new land development and change brought about over time, CS will develop ridership estimates for the new bus routes based on existing ridership. Ms. Dannemiller aided in the accessibility study of the new bus lines, compared to the current system. Honolulu COA. As a thorough analysis of Honolulu’s existing and future transit services, this project focuses on Honolulu’s transit rider travel habits by developing a bus-rail integration plan. Using onboard ridership survey data, Ms. Dannemiller aided in the accessibility study of the new bus lines, compared to the current system. BART Link 21 TDLU Modeling. Link21 is a program that will build on the existing BART and Regional Rail systems and include a new passenger rail crossing project (Crossing Project) between Oakland and San Francisco that will serve the busiest and most congested corridor in the Bay Area. The Crossing Project will increase capacity and bring new passenger rail connections and services to the Megaregion. Ms. Dannemiller assisted in the data manipulation of skims data and TAZ data for an employment connectivity and accessibility study. Coastal Region MPO RFTP Update. In support of the region’s multimodal freight network and the people and businesses that rely on it, the CORE MPO is conducting an update of its Regional Freight Transportation Plan. The study area is the Savannah Metropolitan Statistical Area which comprises of Chatham, Bryan, and Effingham Counties. The purpose of this technical memorandum is to identify the existing multimodal freight assets of the CORE MPO region and assess their performance and conditions. Ms. Dannemiller determined the number of trips which pass through each segment ID and assisted in QA/QC of the OSM network. TRPC Model Update. The Thurston Region Planning Council (TRPC) is the federally designated MPO for the Olympia (WA) urbanized area and is also the state-designated Regional Transportation Planning Organization for Thurston County. TRPC maintains the travel demand model for the region. The latest version of the TRPC model, which Ms. Dannemiller assisted in updating, incorporates these characteristics to improve the model from its previous update in 2015. NCTCOG Denton County Transit Study. North Central Texas Council of Governments (NCTCOG), in coordination with DCTA and the municipalities of Denton County, is developing a study, which will identify transit options, funding and implementation strategies, governance structure and institutional delivery Kate Dannemiller approach of recommended services or projects, and potential impacts on the community. Ms. Dannemiller developed a ridership regression for the on-demand system using GoZone ridership and LOCUS data. NFRMPO Model Update. CS is providing the North Front Range Metropolitan Planning Organization (NFRMPO) with a Travel Demand Model which includes additional enhancements to provide the capability to better support MPO and DOT activities. Ms. Dannemiller aggregated two data sources into TAZs by model employment type, compared them, and investigated TAZs with major differences. Teton County Travel Model. The Teton County Travel Model update reflects recent years based on observed changes in the region, especially due to the 2020 COVID-19 pandemic. For this update, it is necessary to collect traffic counts during different seasons. Ms. Dannemiller’s role constituted of the determination of necessary Winter counts, depending on the location of permanent counts, Summer short duration counts, and areas lacking in counts. Georgetown OTP. For the City of Georgetown, the CS team is providing modeling support for the development of the Overall Transportation Plan. The work entails coding additional roadway facilities to add level of detail to the City in the CAMPO model, updating the 2022 socioeconomic and demographic data for the zones within the City boundaries, applying the travel demand model, and calibrating the 2022 volumes to observed 2022 traffic counts. The work may also involve developing a post-processor that adjusts forecast volumes based on the difference between the base year volumes and the base year counts. Within the development of the Overall Transportation Plan, Ms. Dannemiller attached daily volume counts to the CAMPO Master Network and maintained efforts in TransCAD. Ohio DOT Modeling Support: Activity Sim Consortium. To unify best practices, reduce development and maintenance costs, CS is collaborating to create an open-source and user-friendly activity-based travel modeling platform. Ms. Dannemiller aided in the suggested install process for development, working through conflicts and debugging efforts. She continues on the administrative side of ActivitySim Consortium All-Hands Meetings. NYBPM 2019 Update. For the New York Metropolitan Transportation Council (NYMTC), CS will develop an activity-based model estimation, known and referred to as the NYBPM Base Update. Ms. Dannemiller summarized demographic information—households, population, and employment—by subregions consistent with the NYMTC Model Summary Report for 2019 and 2050. TxDOT TPIP. The Truck Parking Implementation Plan (TPIP) for TxDOT addresses truck parking needs as a high priority in Texas's freight planning activities and stands as a key recommendation from the Texas Delivers 2050 Freight Plan. Ms. Dannemiller’s focus hones in on the El Paso and Houston regions’ truck parking in both designated areas and locations along Texas ROW. Through clustering ROW locations, weighing more popular locations more heavily, she locates “hotspots” of undesignated truck parking. Additionally, using stops data, Ms. Dannemiller collaborated on the forecasting of identified truck parking into future years, as well as the QA/QC of such efforts. GDOT Technical Support Services. For the Georgia DOT, CS, as part of a team, assisted with the update of the Georgia Statewide Travel Demand Model GSTDM. The work involved updating the freight component by re-estimating the trip generation and distribution relationships between tonnage and employment and updating related base year and forecast year inputs to 2015 and 2050, respectively. Ms. Dannemiller worked alongside Modern Mobility Partners (MMP) and Atkins Global to code the STIP network according to proposed changes in capacity. SANDAG Commercial Vehicle & Heavy Truck Model Update. For the San Diego Association of Governments (SANDAG), CS is using the latest freight movement data and design paradigms so they may run inside the new SANDAG activity-based travel model. Ms. Dannemiller has developed multiple components of the tour-based model estimation and currently continues calibration of the model. Education M.S., Transportation Engineering, The University of Texas at Austin, 2021 B.S., Civil Engineering, The University of Texas at Austin, 2020 Margaret Ritzenthaler Travel Demand Modeler Jr. (Professional) www.camsys.com Margaret (Greta) Ritzenthaler is an Oakland-based travel demand modeler with four years of experience in travel modeling, data analytics, and translating findings into digestible, relevant results. She is passionate about analyzing data and policies that support more sustainable and equitable communities. Prior to joining CS in the fall of 2022, she served as an Associate Transportation Modeler at the Chicago Metropolitan Agency for Planning (CMAP). Relevant Experience California Statewide Travel Demand Model. This California DOT (Caltrans) project is an update to the agency’s statewide model. Ms. Ritzenthaler’s current responsibility is to implement a vehicle fuel choice sub-model, which will estimate whether travelers will take trips with an electric vehicle or traditional gas vehicle. The sub-model makes use of sensitive spatial data from the 2019 California Vehicle Survey, housed on a secure data portal by the National Renewable Energy Laboratory. Link21. Link21 is a program led by Bay Area Rapid Transit (BART) and Capital Corridor to enhance the passenger rail networks of the Northern California megaregion. The program aims to connect the BART and Regional Rail and create a second transbay passenger rail crossing between Oakland and San Francisco. CS is providing travel modeling services for the program. Ms. Ritzenthaler’s responsibilities for the project involved calibrating the activity-based component of the model, testing traffic assignment, and developing data visualization scripts to guide the client through model validation. She was also responsible for geospatial quality checks and repairs on the model’s traffic analysis zone (TAZ) system. KATS Model Support. This project provides ongoing modeling support to the Kalamazoo Area Transportation Study (KATS), the MPO for Kalamazoo, MI. Ms. Ritzenthaler’s responsibilities include updating future year socioeconomic data and executing model runs in TransCAD as requested. I-710 Corridor Improvement Study. This vast corridor improvement study makes use of the Southern California Association of Governments (SCAG) regional model. Ms. Ritzenthaler’s role for this project involved updating the SCAG network to reflect highway changes since 2016, future highway projects, and major enhancements to the LA Metro bus system. These network and route edits were implemented through TransCAD. Ms. Ritzenthaler’s duties also included executing the model with TransCAD and scripting performance measures for the corridor study area and for equity-focused communities. Regional Transportation Vulnerability Assessment. The goal of this CMAP project is to understand the vulnerabilities in the transportation network of the Chicago region in the face of climate change. Scoping out the project required collaboration with regional partners such as county DOTs, transit providers, and stormwater management agencies. Ms. Ritzenthaler’s role included planning for and assisting with scoping workshops where CMAP could facilitate conversation between these partners. The workshops were also meant to ensure that the assessment would produce results and a tool useful to all regional stakeholders. After scoping, Ms. Ritzenthaler’s role evolved into one of data collection and inventory. This required maintaining trust with the partner agencies, asking for their (sometimes sensitive) data, and meeting them at their technological level to make the file transfers as easy as possible. The project is ongoing at CMAP. Margaret Ritzenthaler Special Generator Model Enhancements. This 2021 CMAP project addressed the inaccuracies in the CMAP trip-based model surrounding the travel patterns of university students and airport goers. These types of travelers do not tend to take trips to the usual business centers or during the typical peak hours; therefore, new data and assumptions needed to be coded into the model to reflect this reality. Ms. Ritzenthaler headed up the university arm of the project. She synthesized a dataset with observed and estimated data to demonstrate how many students were enrolled in each TAZ and then regressed this data against a 2018 household travel survey to estimate regionwide travel trends. This information directed the model to distribute school trips in a way more accurate to her team’s expectations based on observed enrollment numbers. South Cook County Fare Study. This 2020 CMAP project investigated the feasibility of lowering fares for Metra Commuter Rail riders coming from the southern half of Cook County. This fare program, called Fair Transit South Cook, aims to reduce the cost burden on residents of lower-income neighborhoods typically underserved by cheaper transit alternatives and to increase ridership on the southern Metra lines and their feeder bus routes. The lower fares were formally implemented as a pilot program in January of 2021. Ms. Ritzenthaler assisted this study by making specific fare changes in the Chicago regional travel model network using Emme and analyzing the changes in ridership. Universal Mobility Study. This project was a collaboration between the Metropolitan Planning Council (MPC) and the University of Chicago which culminated in a 2019 report titled Toward Universal Mobility: Charting a Path to Improve Transportation Accessibility. Ms. Ritzenthaler was a member of a team of graduate students who investigated the state of accessible transit in the Chicago region. She and the team quantified the level of transit access for disabled residents throughout the region and researched potential solutions to expand access. Ms. Ritzenthaler also utilized the American Community Survey to understand the prevalence of disabled adults in the region and map out where the demand for accessible transit might be the greatest. The team’s work eventually informed MPC’s report. Education M.P.P., Harris Public Policy at the University of Chicago, 2019 B.A., Economics, Boston College, 2017 (805) 316-0101 895 Napa Ave, Suite A-6, Morro Bay, CA 93442 Joe Fernandez, PE, AICP, RSP1 Summary Mr. Fernandez has worked as a transportation planner and traffic engineer in California since 2002. He has successfully managed dozens of complex studies including transportation impact analyses, travel demand forecasting studies, traffic operations studies, traffic engineering designs, and multimodal planning studies. As both a Certified Planner and Professional Engineer, he specializes in the development of solutions that are both technically sound and fitting with communities’ planning principles. Career History Principal, Central Coast Transportation Consulting • Founder and lead project manager. • Responsible for project scoping, budgeting, schedule adherence, and overall client satisfaction. 2011-Present Senior Engineer/Planner, Fehr & Peers Transportation Consultants • Served as project manager for complex transportation projects. Responsible for project scoping, budgeting, schedule adherence. • Led companywide multi-modal level of service research effort. • Responsible for technical analysis and quality control for a wide variety of projects, including traffic operations, travel demand forecasting, multi-modal planning, and traffic engineering design. Transportation Planner, San Luis Obispo Council of Governments (SLOCOG) • Assisted with Regional Transportation Plan, transit unmet needs analysis. Planning Intern, City of Arroyo Grande • Prepared staff reports, assisted in bike plan update. 2004-2010 2003 2002 Education Master of Science, Civil Engineering California Polytechnic State University, San Luis Obispo, CA Master of City and Regional Planning California Polytechnic State University, San Luis Obispo, CA 2004 2004 Bachelor of Science, Civil Engineering Vanderbilt University, Nashville, TN 2002 Awards and Publications • Award of Excellence: Central Coast APA, City of Paso Robles Circulation Element • Transportation Excellence Award, Transportation Agency of Monterey County, Seaside West Broadway Specific Plan • Neighborhood Planning Award, NorCal APA, Seaside West Broadway Specific Plan • Network Planning: Developing a Multimodal Approach, ITE Journal, September 2009 issue • Achieving Sustainable Results: Public-Private Efforts and Coordination, California APA Annual Conference, 2008 • Another Case Against Roadway Widening: This Time It’s For Drivers, ITE District 6 Annual Conference Paper, 2006 (805) 316-0101 895 Napa Ave, Suite A-6, Morro Bay, CA 93442 Michelle Matson, PE, TE Summary Mrs. Matson has 18 years of engineering experience in transportation planning, traffic engineering, project management, design, grant writing and contract preparation. She has prepared traffic impact studies, roadway safety analysis, bikeways plans, safe routes to school plans, traffic signal plans, traffic control plans, and roadside sign and striping plans. As a Registered Civil Engineer and Registered Traffic Engineer she has extensive experience addressing traffic issues in a wide variety of contexts throughout the Central Coast. Career History Senior Transportation Engineer, Central Coast Transportation Consulting  Manages projects, leads design projects, assists with proposals, and provides QA/QC for technical work.  Prepared Load Road Safety Plans, Active Transportation Plans, CEQA transportation analysis, traffic impact studies, grants, safe routes to school plans, traffic signal plans, signal timing plans, lighting plans, traffic control plans, and roadside sign and striping plans. 2018-Present Engineer I-III, San Luis Obispo County Department of Public Works  Acted as County Traffic Engineer and managed County Traffic Regulation. Codes, collision database, roadway safety plan, signal timing, speed limits, sign reflectivity and data collection programs.  Developed major updates to the County Bikeways Plan and served as the secretary to the Bicycle Advisory Committee.  Prepared and presented items for the County Board of Supervisors and local advisory committees.  Worked toward state and federal mandates including countywide curve warning signs, sign reflectivity and signal timing upgrades.  Successfully developed and prepared grant applications for multiple programs including HSIP and SSARP.  Prepared county development and traffic procedures including procedures for American Public Works Association accreditation.  Managed and designed operational, capacity and safety projects from project initiation through construction and operation.  Prepared road design plans, traffic signal design plans, traffic control plans, and roadside sign and striping plans.  Developed corridor studies, completed operation studies, prepared grants, assisted with GIS integration, calculated road impact fees and traffic indexes. Analyst, Kimley Horn  Completed travel demand model forecasts, prepared traffic impact analyses, prepared scope, schedule, and budget for planning projects. Completed field studies for parking, development and signal timing projects. 2006-2018 2004-2006 Education Master of Science, Civil and Environmental Engineering California Polytechnic State University, San Luis Obispo, CA Bachelor of Science, Civil Engineering California Polytechnic State University, San Luis Obispo, CA 2010 2004 Publications ITE Context Sensitive Design for Major Urban Thoroughfares On-Call Travel Demand Modeling Cambridge Systematics, Inc. 2-25 2.4 Disclosure of Disqualification Instances CS has not been barred from bidding, proposing, or future contracting for any client. However, in the interest of full disclosure, we have received notice that a specific proposal was disqualified. A list of these proposals, as well as the circumstances surrounding their disqualification, are provided in Section 1.0. 2.5 Standard Hourly Billing Rates Table 2.1 Standard Hourly Billing Category Rates Labor Classification Hourly Billing Rate Cambridge Systematics, Inc. Senior Transportation Analyst $372.74 Senior Modeler $346.01 Modeler VIII $331.49 Modeler VII $317.85 Modeler VI $292.53 Modeler V $275.35 Modeler IV $242.52 Modeler III $212.49 Modeler II $181.89 Modeler I $158.33 Junior Modeler $138.59 Graphic Designer $203.30 Document Specialist $ 184.73 Central Coast Transportation Consulting Principal $260 Senior Engineer/Designer $200 Engineer I–III $100–$130 Administrative/Graphics $100 On-Call Travel Demand Modeling Cambridge Systematics, Inc. 3-1 3.0 Work Program 3.1 Approach The Cambridge Systematics team will provide on-call modeling support to the City of San Luis Obispo in a way that is flexible, efficient, and responsive. Our project management team, supported by a pool of highly qualified staff, will collaborate with City staff to complete tasks as they are assigned. Response to Task Orders Our proposed on-call task management process includes an approach to respond to each task request generated by SLO. This process is consistent with an approach that hawse have successfully employed in many other quick response on-calls. We propose to continue to use a streamlined approach that focuses on providing quick responses while maintaining the quality of the proposed approach. The Principal-in-Charge (PIC) and Project Manager (PM) will collaboratively assign a Task Leader for each task request, who will prepare a Task Order proposal containing a proposed approach and scope of work, time schedule, an itemized budget, and a staffing plan, as requested. In cases where task requests are simple in nature or require an immediate response, we can prepare simple email based scopes and approvals to start tasks immediately. CS has significant experience in the management and conduct of technical support task order contracts for local, State, and Federal Government clients as outlined in Section 2.2. We will build on these procedures to respond to the defined scope and level of effort for this contract with SLO. CS brings a deep bench of available staff both within our firm and our subcontractor in regard to technical expertise and experienced project managers. Our deep bench will ensure that our project management team can effectively manage any and all tasks, as it ensures there will always be highly qualified staff available to manage and work on tasks as they arise. Quality Assurance and Quality Control CS’ approach to ensuring the successful delivery of high-quality products includes both Quality Assurance (QA)—preparing well-thought-out Task Orders that can be delivered on time and on budget— and Quality Control (QC)—reviewing and monitoring project status and deliverable quality along the way. We continually work to improve and expand our QC process to provide a consistent, formal procedure to ensure that the final product of every study we undertake maintains the standards of thoroughness, accuracy, and objectivity for which we are known. This process extends beyond the issues of limiting errors and the accuracy of calculations; it focuses on the question of whether the deliverables meet SLO’s needs and expectations. This process will be managed by the PM and, where appropriate, specific QC staff. This gives SLO a clear point of contact for issues on any given Task Order. If the PM is directly involved in the Task Order, another member of our management team, or a Principal of CS will be engaged to support the QA/QC process for that task. 3.2 Services or Data Anticipated As outlined in Section 2.2, we have extensive experience in delivering on-call services, and in-depth knowledge of the SLO Citywide Model. This means we can begin work with immediate efficiency. Examples of on-call tasks that we anticipate are listed below. • Model Updates: As developers of the current model, we are uniquely positioned to update and maintain the SLO’s Citywide Model. We can perform updates varying in scope from minor data and roadway network updates to more complete updates to all aspects of the model. A complete update to the model would include review and updates to the highway and transit networks, updates to the On-Call Travel Demand Modeling Cambridge Systematics, Inc. 3-2 model’s land use data, and a refresh of the algorithms and parameters for each model step. Such an update would be incomplete without a thorough re-validation to traffic counts, transit boardings, and other observed data such as bike counts and any available origin-destination data. Other model update tasks would include connecting the SLO Citywide Model to the latest assumptions in the countywide SLOCOG model, updates to use the latest TransCAD software version, and revising external station assumptions based on the SLOCOG model or other data sources. • Toolkit Improvements: The SLO Citywide Model includes a robust dashboard and reporting system, as well as a single network file that can manage all planned and proposed transportation projects. We can update and customize these tools to provide additional mapping or reporting capabilities that the City may require, to simplify or address any concerns with the current implementation, and to make use of recent updates that we have made to the dashboard and reporting system that underly the SLO Citywide Model. As an example, we have recently upgraded our network management system (See Section 3.3), to include more detail and flexibility. Our clients have used this system to successfully manage transportation networks for planning and conformity processes with hundreds of highway and transit projects. • Staff Training: We can provide City staff, as well as staff from local agencies or consultants planning to use the model, with training. We can provide live training in person in a classroom setting or via a webinar. In addition, we can prepare an online course tailored to the SLO Citywide Model that includes short single-topic videos demonstrating model tasks, combined with practice exercises and online quizzes that help solidify new topics. The online approach allows model users to quickly find explanations of a specific topic, and also provides an opportunity for new model users to learn about the model without needing to wait for the next training session. It also provides the opportunity for each new user to learn at their own pace. • Model Application and Support: We can apply the existing or updated travel model as needed to help the City and consultants answer questions about transportation and scenarios. We can apply the model directly, or provide as-needed support and guidance as city or consultant staff run and use the model. • Data Needs: While we can perform work and help the City acquire data as needed to support work, we will also rely on data provided by the City. This may include traffic count data, land use data, and planning information available to the City. We may also work with City staff to identify new data collection efforts, such as collection of traffic and bicycle count data. 3.3 Additional Information We have developed a suite of tools that make models easier to run, manage, and use. Highlights of these tools are included here. The SLO Citywide Model already includes some of these tools, and can be expanded to include additional capabilities or updated tools at the City’s discretion. • Network Management: We have developed a robust network management system that allows users to code all anticipated highway, non-motorized, and transit projects within an integrated system. Modelers can use this system to build networks targeted to a specific year or funding scenario. Our clients have successfully used this system to build comprehensive network databases containing hundreds of planned and proposed projects. • TransCAD-based Dashboards: Our dashboard system, bult in the TransCAD modeling platform, allows planners, engineers, and modelers to quickly access key data from their travel models. Our dashboard facilitates scenario comparison, select link analysis, and review of network information such as traffic volumes and level of service. While most models have this information available inside layers and tables, the dashboard system makes information easily accessible through a mapping interface. On-Call Travel Demand Modeling Cambridge Systematics, Inc. 3-3 • Web-Based Dashboards: In addition to TransCAD-based dashboards, we have developed a web- based system that summarizes model statistics and can provide easily access to model results. Our summary reports include detailed charts and tables for every model run, and also provide a record of input assumptions. Our web-based mapping system, demonstrated in the figure below, generates a single, email-ready file that includes detailed maps of model volumes, levels of congestion, and other information that can be tailored to client needs. Recipients of this file do not need access to TransCAD or other GIS-based software to review and browse model results.