How Does On-Demand Ridesplitting Influence Vehicle Use and Ownership? A Case Study in Hangzhou, China

The authors present exploratory evidence of on-demand ridesplitting's impacts on the vehicle use and ownership using the emerging ridesourcing data (i.e., app-based, on-demand ride services like Uber and DiDi Chuxing) in Hangzhou, China. They explore ridesplitting users' travel habits and their transportation modal shift if the ridesplitting services are unavailable, and how ridesourcing impacts the use of public transit and private cars. In summer 2017, an app-based survey was conducted and 744 completed questionnaires were collected from respondents who had completed a ridesourcing journey within one month before the investigation in Hangzhou, China. The authors compare the survey results with two-week ridesourcing order data from DiDi Chuxing, 20% of which are ridesplitting order data (including DiDi Hitch and Express ridesplitting). Considering the modal shift from public transit to ridesplitting, the findings indicate that (I) in the short term, ridesplitting services (including Express ridesplitting and Hitch services) can reduce the number of road vehicles, and with the development of ridesplitting, the total decreased number of vehicles in intermediate term is 12,327 per day (nearly 0.53% of the vehicle ownership in Hangzhou); (II) in the long term, ridesplitting will influence people's travel behavioral habits and reduce the car purchase willingness, which probably further reduces the vehicle ownership. This paper shines some light on exploring the influence of on-demand ridesplitting on the vehicle use and ownership.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
• Authors:
  • Zheng, Hongyu
  • Chen, Xiaowei
  • Chen, Xiqun Michael
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 4p

Subject/Index Terms

• TRT Terms: Automobile ownership; Automobile travel; Demand responsive transportation; Ridesharing; Travel behavior
• Geographic Terms: Hangzhou, China
• Subject Areas: Highways; Planning and Forecasting; Society;

Filing Info

• Accession Number: 01660433
• Record Type: Publication
• Report/Paper Numbers: 18-04327
• Files: TRIS, TRB, ATRI
• Created Date: Feb 20 2018 9:28AM