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Impacts of group behavior on boarding process at the platform of high speed railway station

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  • Li, Chuan-Yao
  • Yang, Rui-Yu
  • Xu, Guang-ming
Abstract
Group behaviors widely exist in the passengers’ boarding process at the platform of high speed railway (HSR) and have significant influences on the boarding efficiency. In this paper, we propose a cellular automaton (CA) model to explore the impacts of group behavior during the boarding process at the platform of HSR station. In the proposed method, the leader–follower behavior rules are explicitly modeled and discussed. The numerical results indicate that the proposed model can effectively reproduce the actions of group passengers at the platform of HSR and that the group behaviors have prominent negative impacts on the boarding efficiency. Finally, the negative impact degrees of group behaviors are verified by testing three schemes of seat arrangement, which provides new insights into the management of boarding process.

Suggested Citation

  • Li, Chuan-Yao & Yang, Rui-Yu & Xu, Guang-ming, 2019. "Impacts of group behavior on boarding process at the platform of high speed railway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    • Handle: RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119313032
    DOI: 10.1016/j.physa.2019.122247
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    References listed on IDEAS

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    Cited by:

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    2. Ding, Heng & Di, Yunran & Zheng, Xiaoyan & Liu, Kai & Zhang, Weihua & Zheng, Lingling, 2021. "Passenger arrival distribution model and riding guidance on an urban rail transit platform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    3. Li, Jialin & Sun, Zijie & Zhang, Yaping, 2024. "Study on departure passenger movement during security check process at airport terminal based on an improved cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    4. Xie, Jiemin & Zhan, Shuguang & Wong, S.C. & Wen, Keyu & Qiang, Lixia & Lo, S.M., 2022. "High-speed rail services for elderly passengers: Ticket-booking patterns and policy implications," Transport Policy, Elsevier, vol. 125(C), pages 96-106.
    5. Yang, Qiaoli & Yang, Bo & Qiao, Zheng & Tang, Min-an & Gao, Fengyang, 2021. "Impact of possible random factors on queue behaviors of passengers and taxis at taxi stand of transport hubs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    6. Ding, Ning & Zhu, Yu & Liu, Xinyan & Dong, Dapeng & Wang, Yang, 2024. "A modified social force model for crowd evacuation considering collision predicting behaviors," Applied Mathematics and Computation, Elsevier, vol. 466(C).

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