How Transportation Agencies Assess the Value of Added Capacity Highway Projects Versus Other Modal Projects and Strategies (2018)

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54 AASHTO (2010). Transportation Reboot: Restarting America’s Most Essential Operating System, The Case for Capacity: To Unlock Gridlock, Generate Jobs, Deliver Freight, and Connect Communities Report. American Association of State Highway and Transportation Officials, Washington, D.C. Auer, A., Feese, S., and Lockwood, S. (2016). History of Intelligent Transportation Systems. Report FHWA- JPO-16-329, U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office, Washington, D.C. Australian Transport and Infrastructure Council (2015). National Guidelines for Transport System Management in Australia: Stage 2 Content for Stakeholder Consultation. Canberra, Australia. https://ngtsmguidelines.files. wordpress.com/2014/07/ngtsm2016_f1_-_goals_objectives_and_targets.pdf. Accessed Feb. 2, 2017. Baker, R., Wagner, J., Miller, M., Pritchard, G., and Manser, M. (2016). Disruptive Technologies and Transportation: Final Report. PRC 15-45 F, Texas A&M Transportation Institute, College Station, Tex. BTS (2017). National Transportation Statistics. Table 1-1: System Mileage Within the United States (Updated April 2017). Bureau of Transportation Statistics, Washington, D.C. https://www.rita.dot.gov/bts/sites/rita.dot. gov.bts/files/publications/national_transportation_statistics/html/table_01_01.html. Accessed May 12, 2017. Campbell, R., and Alexiadis, V. (2016). Connected Vehicle Effects on Transportation Planning: Analysis of the Need for New and Enhanced Analysis Tools, Techniques, and Data—Highway Capacity Manual Briefing. Report FHWA-JPO-16-365. Federal Highway Administration, U.S. Department of Transportation, Washington, D.C. Duncan, C., and Schroeckenthaler, K. (2017). NCHRP Synthesis 510: Resource Allocation of Available Funding to Programs of Work. Report Number 47-10, Transportation Research Board, Washington D.C. Economic Development Research Group et al. (2014). SHRP 2 Report S2-C11-RW-1: Development of Tools for Assessing Wider Economic Benefits of Transportation. Transportation Research Board of the National Academies, Washington, D.C. Eno Center for Transportation (2016). “Transportation Ballot Measures Recap.” Eno Transportation Weekly, Dec. 16. Eno Center for Transportation, Washington, D.C. FHWA (1976). America’s Highways 1776–1976: A History of the Federal-Aid Program. Stock No. 050-001-00123-3, Federal Highway Administration, U.S. DOT, Washington, D.C. FHWA (2017). Use of Benefit-Cost Analysis by State Departments of Transportation: Report to Congress. Federal Highway Administration, U.S. DOT, Washington, D.C. https://www.fhwa.dot.gov/policy/otps/pubs/ bca_report/. Accessed April 4, 2017. FTA and APTA (2017). Performance-Based Planning and Programming Roundtable Series: Summary Report. Federal Transit Administration and American Public Transportation Administration, Washington, D.C. GAO (2014). “Surface Transportation: Department of Transportation Should Measure the Overall Performance and Outcomes of the TIGER Discretionary Grant Program.” GAO-14-766. Report to the Ranking Member, Committee on Environment and Public Works, U.S. Senate. U.S. Government Accountability Office, Washington, D.C. Goodchild, A., McMullen, B., and Wygonik, E. (2014). Multimodal Freight Project Prioritization. Report FHWA-OR-RD-14-11, Oregon Department of Transportation, Salem, Ore. Grant, M., Bond, A., McKeeman, A., and D’Ignazio, J. (2013). Performance-Based Planning and Programming Guidebook. Report FHWA-HEP-13-041, Federal Highway Administration, Washington, D.C. Grisby, D. (2016). Open for Business: The Business Case for Investment in Public Transportation. American Public Transportation Association, Washington, D.C. Gunasekera, K. (2014). Cross Mode Project Prioritization. Prepared as part of NCHRP Project 08-36, Task 112, AASHTO Standing Committee on Planning, Washington, D.C. References

References 55 Holian, M., and McLaughlin, R. (2016). “Benefit-Cost Analysis for Transportation Planning and Public Policy: Towards Multimodal Demand Modeling.” MTI Report 12-42, Mineta Transportation Institute, San José, Calif. ICF International and URS Corporation (2014). SHRP 2 Report S2-C01-RR-1: Framework for Collaborative Decision Making on Additions to Highway Capacity. Transportation Research Board of the National Academies, Washington, D.C. Jenior, P., Dowling, R., Nevers, B., and Neudorff, L. (2016). Use of Freeway Shoulders for Travel: Guide for Planning, Evaluating, and Designing Part-Time Shoulder Use as a Traffic Management Strategy. FHWA- HOP-15-023. U.S. DOT, Washington, D.C. Kockelman, K. et al. (2017). An Assessment of Autonomous Vehicles: Traffic Effects and Infrastructure Needs—Final Report. Report FHWA/TX-17/0-6847-1. Center for Transportation Research at the University of Texas at Austin in cooperation with the Texas Department of Transportation and Federal Highway Administration, Austin, Tex. Louch, H., Smith Reeder, V., and Crossett, J. (2009). SHRP 2 Report S2-C02-RR: Performance Measurement Framework for Highway Capacity Decision Making. Transportation Research Board of the National Academies, Washington, D.C. Lyons, W. (2012). Trends in Statewide Long-Range Transportation Plans: Core and Emerging Topics. U.S. DOT, Volpe Center, Cambridge, Mass. Middleton, S. (2015). Cross-Modal Project Prioritization: A TPCB Peer Exchange. U.S. Department of Trans- portation, Volpe Center, Cambridge, Mass. https://www.planning.dot.gov/Peer/NorthCarolina/NCDOT_ cross-modal_12-16-14.pdf. Accessed July 5, 2017. Zhang, L., Schonfeld, P., Kastrouni, E., Shayanfar, E., and He, X. (2016). Estimating the Economic Effects of Multimodal Transportation Improvements. Report No. MD-16-SHA-UM-3-17. Maryland State Highway Administration, Baltimore, Md.