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Advancing Road User Charge (RUC) Models in California: Understanding Social Equity and Travel Behavior Impacts

Author

Listed:
  • Lazarus, Jessica
  • Broader, Jacquelyn
  • Cohen, Adam
  • Bayen, Alexandre PhD
  • Shaheen, Susan PhD

Abstract

The State of California is currently moving forward with a road usage charge (RUC) demonstration program, creating promising research opportunities to examine the potential social equity implications of a shift from a gas tax to a RUC system in California. RUC . To this aim, this study investigates the relative burden of gas taxes and mileage-based RUC across various sociodemographic and geographic dimensions by examining key trends in road use, vehicle ownership, fuel consumption, use of RUC-related technologies, and attitudes/opinions related to RUC adoption. Expert interviews were conducted to increase understanding of the potential opportunities and challenges of a RUC system, particularly regarding social equity. The interviews included transportation industry professionals as well as representatives from community-based and other stakeholder organizations to understand best practices for RUC design and implementation, identify stakeholders’ concerns and potential ways to address them, and inform the design and analysis of a survey of Californians.

Suggested Citation

  • Lazarus, Jessica & Broader, Jacquelyn & Cohen, Adam & Bayen, Alexandre PhD & Shaheen, Susan PhD, 2022. "Advancing Road User Charge (RUC) Models in California: Understanding Social Equity and Travel Behavior Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1pn404q5, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt1pn404q5
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    References listed on IDEAS

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    1. Outlaw, Joe L. & Hoag, Dana L.K., 2020. "Federal Policies and the West," Western Economics Forum, Western Agricultural Economics Association, vol. 18(01), May.
    2. Emmanouil M. L. Economou, 2020. "The Achaean Federation in Ancient Greece," Frontiers in Economic History, Springer, number 978-3-030-52697-9, September.
    3. Jenn, Alan, 2019. "Lessons Learned for Designing Programs to Charge for Road Use, Congestion, and Emissions," Institute of Transportation Studies, Working Paper Series qt9n8571hf, Institute of Transportation Studies, UC Davis.
    4. Lars E.O. Svensson, 2020. "What Rule for the Federal Reserve? Forecast Targeting," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 39-95, December.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
    6. Bonsall, Peter & Kelly, Charlotte, 2005. "Road user charging and social exclusion: The impact of congestion charges on at-risk groups," Transport Policy, Elsevier, vol. 12(5), pages 406-418, September.
    7. Jenn, Alan, 2019. "Lessons Learned for Designing Programs to Charge for Road Use, Congestion, and Emissions," Institute of Transportation Studies, Working Paper Series qt1nk7g9r8, Institute of Transportation Studies, UC Davis.
    8. Lars E.O. Svensson, 2020. "Monetary Policy Strategies for the Federal Reserve," International Journal of Central Banking, International Journal of Central Banking, vol. 16(1), pages 133-193, February.
    9. Jenn, Alan & Fleming, Kelly, 2020. "Federal Road Charge Tax Administration Process," Institute of Transportation Studies, Working Paper Series qt6n81j5n8, Institute of Transportation Studies, UC Davis.
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