Transfer points between metro and bus services remain an elusive, yet critical junction for transportation practitioners. Based on massive Smart Card (SC) data, previous studies apply a one-size-fits-all criterion to discriminate between transfers. However, this is not sufficiently convincing for different transfer pairs. To counter this problem, this study applies an association rules algorithm and cluster analysis to recognize metro-to-bus transfers using SC data, and demonstrates transfer recognition in a case study based on SC data collected during a week in Nanjing, China. It is shown that 85% of the transfer-recognition results are quite stable through the whole week, and the median transfer time between metro and bus is below 20 min. The method proposed in this study can be used to identify the busiest transfer points and to obtain average transfer times, which facilitates a smarter and more efficient public transit network.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognizing metro-bus transfers from smart card data


    Contributors:
    Zhao, De (author) / Wang, Wei (author) / Li, Chenyang (author) / Ji, Yanjie (author) / Hu, Xiaojian (author) / Wang, Wenfu (author)

    Published in:

    Publication date :

    2019-01-02


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Understanding Metro-to-Bus Transfers in Nanjing, China Using Smart Card Data

    Zhang, Miaoyan / Liu, Dongwei / Ji, Yanjie et al. | Springer Verlag | 2021


    Understanding Metro-to-Bus Transfers in Nanjing, China Using Smart Card Data

    Zhang, Miaoyan / Liu, Dongwei / Ji, Yanjie et al. | TIBKAT | 2022


    Understanding Metro-to-Bus Transfers in Nanjing, China Using Smart Card Data

    Zhang, Miaoyan / Liu, Dongwei / Ji, Yanjie et al. | British Library Conference Proceedings | 2022


    Isolating high-priority metro and feeder bus transfers using smart card data

    Zhao, De / Wang, Wei / Woodburn, Amber et al. | Online Contents | 2016


    Understanding bikeshare mode as a feeder to metro by isolating metro-bikeshare transfers from smart card data

    Ma, Xinwei / Ji, Yanjie / Yang, Mingyuan et al. | British Library Online Contents | 2018