Shared Mobility in Los Angeles County: A Case Study in Westside Cities

Shared autonomous vehicle (SAV) as a shared mobility has attracted a great amount of attention recently. SAVs have the potential to reduce private vehicle ownership, improve the accessibility to high-quality transportation for residents from rural and under-developed areas, and reduce vehicle miles traveled (VMT) and emissions. Especially, when it is coupled with public transit system as a first/last mile transport service, SAVs could encourage travelers to choose public transit over other travel modes. It is an effective approach to promote greener travel. However, due to lack of service, long waiting time from insufficient fleet size, inconvenience from ridesharing and many other factors, SAVs have many challenges to overcome. In this paper, a regionally calibrated large scale agent-based multi-modal traffic simulation model for Los Angeles County is developed and used to study the effects of demand response transport (DRT, a type of shared mobility services using SAVs) under two different policy, including congestion levels, private vehicle ridership, and public transit usages. The authors find that DRT services could reduce private vehicle ridership. Lower income group might foresee a greater increase in public transit usage compared with higher income groups due to the convenient and affordable access by DRT to public transit that offers cheap transportation compared with other alternative transportation modes like private vehicles, taxis, and pure DRT rides. Lower transit cost could further reduce private vehicle ridership and attract more public transit demand, including direct transit usage and transit coupled with DRT as a first/last mile transport mode.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 20p

Subject/Index Terms

Filing Info

  • Accession Number: 01763592
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01789
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:06AM