01663564

Component

Though metro systems are established in many Chinese cities including Nanjing, they have yet covered every corner of a city. Bikeshare as a feeder mode to metro helps solve the last mile problem. Thus, it is necessary to monitor and analyze Metro-bikeshare transfer characteristics. 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 over three consecutive weeks. And then that general characteristics of Metro-bikeshare transfer trips is discussed in four dimensions— clock of time, date, space, and transfer mode. The results show that more than 89% passengers recognized have less than 6 transfers in 3 weeks, indicating that most users integrate bikeshare with metro impromptu. Two transfer peaks on workdays are during 7:00-9:00 and 17:00-19:00, especially in suburban areas, while at weekends, transfers show quite even during 8:00-19:00. As to “Return-Enter” and “Exit-Lease” transfer modes, the “time difference” phenomenon does exist, which means that the transfer peak of “Return-Enter” mode always happens one hour earlier than that of “Exit-Lease”. Policy and planning implications are involved to improve the performance of Metro-bikeshare integration.

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

18-03964

English

6p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Bicycling; Multimodal transportation; Rail transit; Rail transit stations; Smart cards; Vehicle sharing

Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-03964

TRIS, TRB, ATRI

Jan 8 2018 10:59AM