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Simulation and analysis of congestion risk during escalator transfers using a modified social force model

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

Abstract

The congestion risk during escalator transfers was simulated based on a modified social force model. A four-stage transfer model was proposed. A projection strategy was employed to calculate the social forces for inclined surfaces, and a schedule-line model was proposed to calculate the targets adaptively. Realistic simulations of escalator transfer activities were achieved. The results demonstrate that the spatial distribution of the congestion risks is inhomogeneous. A few areas contain clearly higher risks, and the congestion risk is higher in the transfer aisles than on the escalators. The congestion risk in the transfer aisle is influenced more by the average pedestrian speed than that of the escalators. Slower walkers in the transfer aisle may cause congestion, which is more serious when the escalator speed is faster than that of the pedestrians. Therefore, to reduce the congestion risk, the speed of the escalator should be set slower than the average speed of the pedestrians, and conductors can be employed to divert the traffic at the entrance, turns, and exit of the escalator.

Suggested Citation

  • Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen & Li, Rong & Duan, Qishen, 2015. "Simulation and analysis of congestion risk during escalator transfers using a modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 28-40.
    • Handle: RePEc:eee:phsmap:v:420:y:2015:i:c:p:28-40
    DOI: 10.1016/j.physa.2014.10.044
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    References listed on IDEAS

    as
    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. Ha, Vi & Lykotrafitis, George, 2012. "Agent-based modeling of a multi-room multi-floor building emergency evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2740-2751.
    4. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    5. Seyfried, Armin & Steffen, Bernhard & Lippert, Thomas, 2006. "Basics of modelling the pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 232-238.
    6. 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.
    7. Kim, Inhi & Galiza, Ronald & Ferreira, Luis, 2013. "Modeling pedestrian queuing using micro-simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 232-240.
    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.
    9. Wang, Lei & Zhang, Qian & Cai, Yun & Zhang, Jianlin & Ma, Qingguo, 2013. "Simulation study of pedestrian flow in a station hall during the Spring Festival travel rush," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2470-2478.
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    Cited by:

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    4. 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.
    5. Qingyan Ning & Maosheng Li, 2022. "Modeling Pedestrian Detour Behavior By-Passing Conflict Areas," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    6. Ji, Yanjie & Gao, Liangpeng & Chen, Dandan & Ma, Xinwei & Zhang, Ruochen, 2018. "How does a static measure influence passengers’ boarding behaviors and bus dwell time? Simulated evidence from Nanjing bus stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 13-25.
    7. 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.
    8. Li, Yan & Liu, Hong & Liu, Guang-peng & Li, Liang & Moore, Philip & Hu, Bin, 2017. "A grouping method based on grid density and relationship for crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 319-336.

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