کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7496809 | 1485807 | 2018 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
علوم اجتماعی
جغرافیا، برنامه ریزی و توسعه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transport Policy - Volume 71, 30 November 2018, Pages 57-69
Journal: Transport Policy - Volume 71, 30 November 2018, Pages 57-69
نویسندگان
Xinwei Ma, Yanjie Ji, Mingyuan Yang, Yuchuan Jin, Xu Tan,