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:
  Electric Vehicles Greenhouse Gases Land Use Mode Choice Ridesharing Road Pricing Transit Oriented Development Travel Demand Management Vehicle Miles Of Travel
• 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.
  
  
• Format:
  PDF
• Funding:
  DTRT12-G-UTC21
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4ae9285102950e722424f20e888b5d9cfc1f0702f3156100b9fcdee21eeb494695093326f164ce14af18e20765be987a4ede866962f810f016f3336f438c7c72
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29485/dot_29485_DS1.pdf
• File Type:
  [PDF - 631.41 KB ]