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Enhancing Disaster Resilience in Hospitals Through Flow Space-Optimized Evacuation Routes

Author

Listed:
  • Yilai Wu

    (CCCC Second Highway Engineering Co., Ltd., Xi’an 710018, China)

  • Jingwei Xia

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830047, China)

  • Xuekelaiti Haiyirete

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830047, China
    Xinjiang Xindewang Construction Project Management Consulting Co., Ltd., Urumqi 830028, China
    School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Hospitals are an important piece of infrastructure for global emergency management, and their evacuation efficiency is crucial during large-scale disasters or public health crises. Traditional evacuation methods mainly focus on proximity and often overlook dynamic pedestrian density and channel capacity, leading to local congestion and increased risk. This study introduces a dynamic optimization evacuation path planning framework based on flow space theory to address the overall inefficiency in hospital evacuation. We model the hospital space as a dynamic network flow, analyze evacuation time through walking and queuing time, and apply a density–velocity correction model to adjust path allocation in real time. Using the MassMotion 11.0 platform to compare the evacuation of simulated hospital models before and after path optimization, the results showed that the average evacuation time was reduced by 10.58%, the waiting time in high-density areas was shortened, and the overall efficiency was improved. Empirical exercises show that path optimization can shorten evacuation time, demonstrating that spatial optimization strategies enhance hospital resilience. These results confirm the practical value of the flow space theory in emergency management for dealing with disasters. The flow space theory enriches the theoretical system of evacuation planning and contributes to a more in-depth study of people’s evacuation behaviors and the optimization of evacuation strategies.

Suggested Citation

  • Yilai Wu & Jingwei Xia & Xuekelaiti Haiyirete, 2025. "Enhancing Disaster Resilience in Hospitals Through Flow Space-Optimized Evacuation Routes," Sustainability, MDPI, vol. 17(12), pages 1-27, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5419-:d:1677264
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    References listed on IDEAS

    as
    1. Yang Zhu & Hong Li & Zhenhao Wang & Qihang Li & Zhan Dou & Wei Xie & Zhongrong Zhang & Renjie Wang & Wen Nie, 2022. "Optimal Evacuation Route Planning of Urban Personnel at Different Risk Levels of Flood Disasters Based on the Improved 3D Dijkstra’s Algorithm," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    2. Zihua Pan & Qingchao Wei & Olav Torp & Albert Lau, 2019. "Influence of Evacuation Walkway Design Parameters on Passenger Evacuation Time along Elevated Rail Transit Lines Using a Multi-Agent Simulation," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    3. Sui Ye & Ziqiang Li & Jianchao Xi, 2024. "A Model for Estimating the Tourism Carrying Capacity of a Tourism Corridor: A Case Study of the Qinghai–Tibet Plateau," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
    4. Mukesh Rungta & Gino Lim & MohammadReza Baharnemati, 2012. "Optimal egress time calculation and path generation for large evacuation networks," Annals of Operations Research, Springer, vol. 201(1), pages 403-421, December.
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