Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7496809 | Transport Policy | 2018 | 13 Pages |
Abstract
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. Two recognition rules proposed are a maximum transfer time of 10â¯min and a maximum transfer distance of 300â¯m. To explore the general characteristics of metro-bikeshare transfer trips, transfer stations served at less than 30 transfer trips during three consecutive weeks were eliminated to ensure that a non-typical transfer pattern would not distort the results. 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”. Furthermore, the demographic differences in metro-bikeshare usage pattern are revealed. Finally, policy implications are involved to improve the performance of metro-bikeshare integration for all kinds of people without creating inequality.
Related Topics
Social Sciences and Humanities
Social Sciences
Geography, Planning and Development
Authors
Xinwei Ma, Yanjie Ji, Mingyuan Yang, Yuchuan Jin, Xu Tan,