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Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective

Author

Listed:
  • Kefan Xie

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Benbu Liang

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Yu Song

    (School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Xueqin Dong

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Due to the highly developed rail transit over the past decades, the phenomena of complex individual self-organized behaviors and mass crowd dynamics have become a great concern in the train station. In order to understand passengers’ walking-edge effect and analyze the relationship between the layout and sustainable service abilities of the train station, a heuristics-based social force model is proposed to elaborate the crowd dynamics. Several evacuation scenarios are implemented to describe the walking-edge effect in a train station with the evacuation efficiency, pedestrian flow, and crowd density map. The results show that decentralizing crowd flow can significantly increase the evacuation efficiency in different scenarios. When the exits are far away from the central axis of the railway station, the walking-edge effect has little influence on the evacuation efficiency. Obstacles can guide the movement of passengers by channelizing pedestrian flows. In addition, a wider side exit of the funnel-shaped corridors can promote walking-edge effect and decrease the pressure among a congested crowd. Besides providing a modified social force model with considering walking-edge effect, several suggestions are put forward for managers and architects of the train station in designing sustainable layouts.

Suggested Citation

  • Kefan Xie & Benbu Liang & Yu Song & Xueqin Dong, 2019. "Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:7188-:d:298265
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    References listed on IDEAS

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    1. Jinghan Yuan & Hansong Zou & Kefan Xie & Maxim A. Dulebenets, 2021. "An Assessment of Social Distancing Obedience Behavior during the COVID-19 Post-Epidemic Period in China: A Cross-Sectional Survey," Sustainability, MDPI, vol. 13(14), pages 1-16, July.

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