Bikeshare as a Feeder Mode to Metro: Where, When, Who, and Why?

The primary objective of this study is to derive a reproducible methodology that isolates bicycle-metro transfer trips using smart card data. Three recognition rules proposed are a maximum transfer time of 10 min, a maximum transfer distance of 300 meters and at least 30 transfer trips occurred at the transfer pair over three consecutive weeks. And then “Return-Enter” and “Exit-Lease” transfer modes are systematically compared on the aspect of the spatial, temporal and demographic circumstances to answer where are the two transfer modes disturbed and how the spatial structure of transfer trips evolves as time goes by; who make the transfer trips and most importantly whether the transfer trips from varied demographic categories have different patterns. The results show that over 89% passengers recognized have less than 6 transfers in 3 weeks. Two transfer modes reveal a distinct commuting characteristic: morning and afternoon peak periods contribute large number of transactions of the whole day, and transfer trips during morning peak period are larger than in the afternoon peak period. Specifically, transfer trips hit the highest at the stations located in urban areas, Hexi district and terminal metro stations that record more transactions. And residential-area-based transactions are more made by female and passengers aged over 35 while office-area-based transactions more by male and nonnative users. The results raise concerns of how to attract more transfer users and improve transfer service. Policy implications are discussed from four aspects: public bike station configurations, dispatch, policy and infrastructure.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.
• Authors:
  • Yi, Chenyu
  • Ma, Xinwei
  • Ji, Yanjie
  • Xu, Yang
  • Liu, Yang
• 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: 7p

Subject/Index Terms

• TRT Terms: Bicycles; Data mining; Demographics; Feeder services; Rail transit; Smart cards; Transfers; Travel patterns; Vehicle sharing
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01657519
• Record Type: Publication
• Report/Paper Numbers: 18-04940
• Files: TRIS, TRB, ATRI
• Created Date: Jan 24 2018 9:25AM