Synergistic interactions of dynamic ridesharing and battery electric vehicles land use, transit, and auto pricing policies.

Details

• Creators:
  Rodier, Caroline ; Alemi, Farzad ; Smith, Dylan
• Corporate Creators:
  Mineta Transportation Institute
• Corporate Contributors:
  California. Dept. of Transportation. Division of Research and Innovation ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Greenhouse gases
  • Travel demand management
  • Vehicle miles of travel
  • Ridesharing
  • Electric vehicles
  • Transit oriented development
  • Road pricing
  • Land use
  • Mode choice
• Publication/ Report Number:
  CA-MTI-15-1207
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mineta Transportation Institute
• Abstract:
  It is widely recognized that new vehicle and fuel technology is necessary, but not sufficient, to meet deep greenhouse gas (GHG) ; reductions goals for both the U.S. and the state of California. Demand management strategies (such as land use, transit, and ; auto pricing) are also needed to reduce passenger vehicle miles traveled (VMT) and related GHG emissions. In this study, the ; authors explore how demand management strategies may be combined with new vehicle technology (battery electric vehicles or ; BEVs) and services (dynamic ridesharing) to enhance VMT and GHG reductions. Owning a BEV or using a dynamic ridesharing ; service may be more feasible when distances to destinations are made shorter and alternative modes of travel are provided by ; demand management strategies. To examine potential markets, we use the San Francisco Bay Area activity based travel demand ; model to simulate business-as-usual, transit oriented development, and auto pricing policies with and without high, medium, ; and low dynamic ridesharing participation rates and BEV daily driving distance ranges. The results of this study suggest that ; dynamic ridesharing has the potential to significantly reduce VMT and related GHG emissions, which may be greater than land ; use and transit policies typically included in Sustainable Community Strategies (under California Senate Bill 375), if travelers ; are willing pay with both time and money to use the dynamic ridesharing system. However, in general, large synergistic effects ; between ridesharing and transit oriented development or auto pricing policies were not found in this study. The results of the ; BEV simulations suggest that TODs may increase the market for BEVs by less than 1% in the Bay Area and that auto pricing ; policies may increase the market by as much as 7%. However, it is possible that larger changes are possible over time in faster ; growing regions where development is currently at low density levels (for example, the Central Valley in California). The VMT Fee ; scenarios show larger increases in the potential market for BEV (as much as 7%). Future research should explore the factors ; associated with higher dynamic ridesharing and BEV use including individual attributes, characteristics of tours and trips, and ; time and cost benefits. In addition, the travel effects of dynamic ridesharing systems should be simulated explicitly, including auto ; ownership, mode choice, destination, and extra VMT to pick up a passenger.
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• Format:
  PDF
• Funding:
  DTRT12-G-UTC21
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29485/dot_29485_DS1.pdf
• File Type:
  [PDF - 631.41 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4ae9285102950e722424f20e888b5d9cfc1f0702f3156100b9fcdee21eeb494695093326f164ce14af18e20765be987a4ede866962f810f016f3336f438c7c72