Multimodal Trip-Chain Planner for Incentivizing Transit Usage

Details

• Creators:
  Pandey, Venktesh ; Chow, Joseph ; Park, Hyoshin ; Bikdash, Marwan ; Tiamiyu, Ridwan ; Ren, Xiyuan ; Jehu-Appiah, Doreen ; Sundaram, Indramuthu Georgewilliam ; Liu, BingQing
• Corporate Creators:
  Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC) ; New York University. Tandon School of Engineering
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Incentives Mobility Pricing Public Transit Trip Chaining
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Connected Communities for Smart Mobility Toward Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER) Tier-1 University Transportation Center (UTC)
• Abstract:
  Current navigation solutions often overlook the needs of people with mobility limitations, such as trip chaining and the integration of elevation information for walking, biking, and wheelchair-accessible routes. In this project, a Multimodal Trip-Chain Planner is developed, integrating modes like public transit, walking, biking, and ridesharing into optimized itineraries, and leveraging publicly sourced datasets on network, elevation, and trip information. We also use open-source Python libraries, including r5py and geopandas, and integrate unique user preferences to provide personalized, sustainable travel options aimed at reducing congestion and emissions. Additionally, the project develops a behavioral model to examine how pricing strategies can increase microtransit use and revenue. Findings from an Arlington, TX case study highlight the benefits of reduced ride pass prices and place-based subsidies. Finally, we conduct a stated-preference survey to identify the needs of travelers and explore differences across rural and urban travelers in North Carolina. Survey results reveal a preference for trip chaining and cost/time information, with urban users more inclined toward sustainable modes compared to rural users, who face infrastructure limitations. The planner’s inclusive design supports equitable access, especially for vulnerable groups, and demonstrates potential to drive sustainable and accessible transportation solutions.
• Format:
  PDF
• Funding:
  69A3552348326
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:4ac83aa650079c3c6d10eebf1f68828e99c634162a83583428f6ecfb443a78c144bffaaeafa911a19b61695b977e48d307003596fd613d9d450f4ccffeafbada
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86439/dot_86439_DS1.pdf
• File Type:
  [PDF - 6.03 MB ]