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Unraveling Latent Transfer Patterns Between Metro and Bus From Large-Scale Smart Card Data

  • Published:2020 Issue: Volume: Page:1-15
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen EnhuiORCID,Zhang WenboORCID,Ye ZhiruiORCID,Yang MinORCID

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Scientific Research Foundation of Graduate School of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A spatiotemporal analysis of metro‐stop based accessibility to bus services in Shanghai, China;Transactions in GIS;2023-09-10

2. Integrated Generalized Cost Model Considering the Whole Trip for Urban Rail Transit Station Choices;Transportation Research Record: Journal of the Transportation Research Board;2023-08-12

3. Identifying the Spatiotemporal Metro-to-Bus Transfer Deserts in Shanghai, China;Journal of Urban Planning and Development;2023-06

4. Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus;International Journal of Geographical Information Science;2023-04-26

5. Transfer station choice in a multimodal transit system: An empirical study;Transportation Research Part A: Policy and Practice;2022-11
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