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Dynamic Ridesharing: Exploration of Potential for Reduction in Vehicle Miles Traveled

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  • Rodier, Caroline
  • Alemi, Farzad
  • Smith, Dylan

Abstract

It is widely recognized that new vehicle and fuel technologies are necessary but not sufficient to meet deep greenhouse gas reduction goals in the United States. Demand management strategies, such as land use, transit, and auto pricing policies, are also needed. These measures, however, have historically faced political challenges and have been difficult to implement. Emerging ridesharing systems now suggest the possibility of a new demand management strategy that may be more politically palatable and reduce the number of vehicle miles traveled (VMT). To date, however, little research has evaluated their potential travel effects, especially on a regional scale. This study used the San Francisco, California, Bay Area activity-based travel demand model to simulate business-as-usual, transit-oriented development, and auto pricing scenarios with and without high, medium, and low ridesharing participation levels. The analysis suggests that relatively large VMT reductions are possible from moderate and high participation levels, but at low participation levels, VMT reductions are negligible. Moderate dynamic ridesharing alone compares favorably, with a 9% reduction in VMT, to transit-oriented development and auto pricing scenarios. The analysis also suggests a potentially promising policy combination: a moderately used regional dynamic ridesharing system with a 10- to 30-cent increase in the per mile cost of auto travel, which together may reduce VMT on the order of 11% to 19%.

Suggested Citation

  • Rodier, Caroline & Alemi, Farzad & Smith, Dylan, 2016. "Dynamic Ridesharing: Exploration of Potential for Reduction in Vehicle Miles Traveled," Institute of Transportation Studies, Working Paper Series qt6r6139g8, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt6r6139g8
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    References listed on IDEAS

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    1. Agatz, Niels A.H. & Erera, Alan L. & Savelsbergh, Martin W.P. & Wang, Xing, 2011. "Dynamic ride-sharing: A simulation study in metro Atlanta," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1450-1464.
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    3. Liu, Zhiyong & Li, Ruimin & Dai, Jingchen, 2022. "Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 206-226.
    4. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).
    5. Circella, Giovanni & Tiedeman, Kate & Handy, Susan & Alemi, Farzad & Mokhtarian, Patricia, 2016. "What Affects U.S. Passenger Travel? Current Trends and Future Perspectives," Institute of Transportation Studies, Working Paper Series qt2w16b8bf, Institute of Transportation Studies, UC Davis.
    6. Mingyang Du & Lin Cheng & Xuefeng Li & Jingzong Yang, 2019. "Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    7. Choi, Yunkyung & Guhathakurta, Subhrajit & Pande, Anurag, 2022. "An empirical Bayes approach to quantifying the impact of transportation network companies (TNCs) operations on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 269-283.
    8. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 48(4), pages 1733-1765, August.
    9. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 0. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 0, pages 1-33.
    10. Wei Zhai & Shuqi Gao & Mengyang Liu & Di Wei, 2023. "Examining the effects of climate change perception and commuting experience on the willingness to pay for micro-transit service in Tampa, FL," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

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