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Simulation and analysis of individual trampling risk during escalator transfers

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  • Li, Wenhang
  • Gong, Jianhua
  • Yu, Ping
  • Shen, Shen
  • Li, Rong
  • Duan, Qishen

Abstract

A type of trampling process that is caused by picking-up activities during escalator transfers was studied in this paper. A five-stage trampling model for individual pedestrians was proposed, and the social force model was modified considering the transfer features. Several scenarios were simulated to study the impacts of 4 factors, namely, pedestrian traffic, escalator velocity, picking-up duration and pedestrian velocity, on trampling probability. The results show that pedestrian traffic strongly affects the trampling probability, with a positive correlation throughout all scenarios; the picking-up duration affects the trampling probability, with a negative correlation throughout all scenarios; lower pedestrian velocities can result in higher trampling probabilities if the picking-up duration is short; and the escalator velocity may also affect the trampling probability, but there are no general rules for all scenarios. Thus, the impacts of these 4 factors can be queued in descending order as follows: pedestrian traffic > picking-up duration > pedestrian velocity > escalator velocity. Countermeasures can be employed according to the results to reduce trampling risks.

Suggested Citation

  • Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen & Li, Rong & Duan, Qishen, 2014. "Simulation and analysis of individual trampling risk during escalator transfers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 119-133.
    • Handle: RePEc:eee:phsmap:v:408:y:2014:i:c:p:119-133
    DOI: 10.1016/j.physa.2014.03.071
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    References listed on IDEAS

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    1. Parisi, D.R. & Dorso, C.O., 2007. "Morphological and dynamical aspects of the room evacuation process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 343-355.
    2. Ma, Peijie & Wang, Binghong, 2013. "The escape of pedestrians with view radius," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 215-220.
    3. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    4. Shiwakoti, Nirajan & Sarvi, Majid & Rose, Geoff & Burd, Martin, 2011. "Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1433-1449.
    5. Parisi, Daniel R. & Gilman, Marcelo & Moldovan, Herman, 2009. "A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3600-3608.
    6. Lee, Ris S.C. & Hughes, Roger L., 2007. "Minimisation of the risk of trampling in a crowd," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 74(1), pages 29-37.
    7. Dirk Helbing & Pratik Mukerji, "undated". "Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster," Working Papers ETH-RC-12-010, ETH Zurich, Chair of Systems Design.
    8. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
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    Cited by:

    1. Li, Wenhang & Li, Yi & Yu, Ping & Gong, Jianhua & Shen, Shen & Huang, Lin & Liang, Jianming, 2017. "Modeling, simulation and analysis of the evacuation process on stairs in a multi-floor classroom building of a primary school," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 157-172.
    2. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen, 2016. "Modeling, simulation and analysis of group trampling risks during escalator transfers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 970-984.
    3. Zhiru Wang & Ran S. Bhamra & Min Wang & Han Xie & Lili Yang, 2020. "Critical Hazards Identification and Prevention of Cascading Escalator Accidents at Metro Rail Transit Stations," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    4. Kefan Xie & Zimei Liu, 2019. "Factors Influencing Escalator-Related Incidents in China: A Systematic Analysis Using ISM-DEMATEL Method," IJERPH, MDPI, vol. 16(14), pages 1-15, July.

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