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Title:

Simulation of Ridesourcing Using Agent-Based Demand and Supply Models Regional: Potential Market Demand for First Mile Transit Travel and Reduction in Vehicle Miles Traveled in the San Francisco Bay Area

Accession Number:

01663957

Record Type:

Component

Abstract:

In this study, the authors use existing modeling tools and data from the San Francisco Bay Area (California) to understand the potential market demand for a “first” mile transit access service and possible reductions in vehicle miles traveled (and thus GHGs) at both the regional and station level. They develop a project scenario that targets commuters who drive alone but could take rail (Bay Area Rapid Transit or BART) to work. They use travel time, cost, and distance data from San Francisco Bay Area travel models, Google Maps and BART APIs, and TNC fares to explore the magnitude of change in overall travel time and cost for travelers who switch from driving alone to using TNC and BART to travel to work. The analysis indicates that 31% of the identified drive alone trips could reduce generalized costs (travel time and monetary costs) by switching to TNC and BART. If all travelers who could benefit from traveling by TNC and BART, did in fact switch from drive alone travel, about 40 thousand new BART trips could be generated and over half a million miles of VMT avoided during the morning commute period. Most of these trips experienced relatively high levels of cost and VMT savings, which may be more likely to motivate behavioral change. Examination of cost savings by income level and vehicle availability suggests that the new service is more likely to benefit lower income households with fewer vehicles.

Supplemental Notes:

This paper was sponsored by TRB committee ADA20 Standing Committee on Metropolitan Policy, Planning, and Processes.

Report/Paper Numbers:

18-05283

Language:

English

Authors:

Alemi, Farzad
Rodier, Caroline

Pagination:

3p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References

Identifier Terms:

Bay Area Rapid Transit (BART)

Uncontrolled Terms:

Agent based models

Geographic Terms:

San Francisco Bay Area

Subject Areas:

Economics; Environment; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05283

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:20AM