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Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data

Author

Listed:
  • Gang Zhong

    (Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
    Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things)

  • Tingting Yin

    (Jiangsu Expressway Company Limited)

  • Jian Zhang

    (Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
    Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things)

  • Shanglu He

    (Nanjing University of Science and Technology)

  • Bin Ran

    (Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies
    Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things)

Abstract

The travel behavior of passengers from the transportation hub within the city area is critical for travel demand analysis, security monitoring, and supporting traffic facilities designing. However, the traditional methods used to study the travel behavior of the passengers inside the city are time and labor consuming. The records of the cellular communication provide a potential huge data source for this study to follow the movement of passengers. This study focuses on the passengers’ travel behavior of the Hongqiao transportation hub in Shanghai, China, utilizing the mobile phone data. First, a systematic and novel method is presented to extract the trip information from the mobile phone data. Several key travel characteristics of passengers, including passengers traveling inside the city and between cities, are analyzed and compared. The results show that the proposed method is effective to obtain the travel trajectories of mobile phone users. Besides, the travel behavior of incity passengers and external passengers are quite different. Then, the correlation analysis of the passengers’ travel trajectories is provided to research the availability of the comprehensive area. Moreover, the results of the correlation analysis further indicate that the comprehensive area of the Hongqiao hub plays a relatively important role in passengers’ daily travel.

Suggested Citation

  • Gang Zhong & Tingting Yin & Jian Zhang & Shanglu He & Bin Ran, 2019. "Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data," Transportation, Springer, vol. 46(5), pages 1713-1736, October.
    • Handle: RePEc:kap:transp:v:46:y:2019:i:5:d:10.1007_s11116-018-9876-5
    DOI: 10.1007/s11116-018-9876-5
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    References listed on IDEAS

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    Cited by:

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    4. Xia, Dawen & Jiang, Shunying & Yang, Nan & Hu, Yang & Li, Yantao & Li, Huaqing & Wang, Lin, 2021. "Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    5. Qian, Chen & Li, Weifeng & Duan, Zhengyu & Yang, Dongyuan & Ran, Bin, 2021. "Using mobile phone data to determine spatial correlations between tourism facilities," Journal of Transport Geography, Elsevier, vol. 92(C).
    6. Yao, Haifang & Huang, Yingying & Liu, Jinsong, 2023. "Study on travel behavior characteristics of air passengers in an airport hinterland," Journal of Air Transport Management, Elsevier, vol. 112(C).
    7. Oscar Lopez Jaramillo & Joel Rinebold & Michael Kuby & Scott Kelley & Darren Ruddell & Rhian Stotts & Aimee Krafft & Elizabeth Wentz, 2021. "Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration," Energies, MDPI, vol. 14(22), pages 1-26, November.

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