Volume 41 Issue 1
Feb.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(1): 132-139
LI Xinghua, WANG Tianzuo, ZHANG Xiaoguang, ZHAO Junjian, CHENG Cheng. A Method for Optimizing the Design of Evacuation Streamline for Multimodal Passenger Transportation Hubs[J]. Journal of Transport Information and Safety, 2023, 41(1): 132-139. doi: 10.3963/j.jssn.1674-4861.2023.01.014
Citation: LI Xinghua, WANG Tianzuo, ZHANG Xiaoguang, ZHAO Junjian, CHENG Cheng. A Method for Optimizing the Design of Evacuation Streamline for Multimodal Passenger Transportation Hubs[J]. Journal of Transport Information and Safety, 2023, 41(1): 132-139. doi: 10.3963/j.jssn.1674-4861.2023.01.014
shu

A Method for Optimizing the Design of Evacuation Streamline for Multimodal Passenger Transportation Hubs

doi: 10.3963/j.jssn.1674-4861.2023.01.014
  • 1.

    Urban Mobility Institute, Tongji University, Shanghai 201804, China

  • 2.

    The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China

  • 3.

    China Transportation Institute at Tongji, Shanghai 200092, China

  • 4.

    Chinaroads Communications Science & Technology Group CO., Ltd, Shijiazhuang 050035, China

  • Received Date: 2022-06-06
    Available Online: 2023-05-13
    Abstract
  • Multimodal passenger transportation hubs are typically crowded by pedestrians, and are composed of complex corridor networks, multiple entrances, and exits. It has been challenging to improve the evacuation efficiency of multimodal passenger transportation hubs. To address this challenge, most of previous studies focus on the layout redesign of facilities, while this study proposes a method to fully utilize the existing facility capacity by controlling the opening/closing state and walking direction of corridors. A simulation-based optimization framework for designing the evacuation streamline is proposed, including system input, simulation for the evacuation process, and optimization modules for the evacuation streamline. The input module of the system requires to specify the following three parameters: evacuation demand, evacuation network, and evacuation behavior. The evacuation simulation module is used to evaluate the efficiency of passenger evacuation under a specific plan of evacuation streamline. The optimization of evacuation streamline plan is conducted by the optimization module based on the results of evacuation simulation runs. Regarding the evacuation simulation, as pedestrians may dynamically modify their evacuation routes, a dynamic model for simulating route choice behavior is developed based on the Logit modeling framework. An optimization model of evacuation streamline is designed to minimize overall evacuation time, total evacuation duration of all individuals, and the level of maximum corridor saturation. An optimization algorithm for multi-objective evacuation streamline is developed based on the NSGA-Ⅲ. The proposed method is validated based on an evacuation scenario of the arrival level of Hongqiao Railway Station. Study results indicate that, compared to the conventional evacuation scenarios without an optimized design of evacuation streamline, the overall evacuation time, total evacuation duration and corridor maximum saturation of the optimized scenario are reduced by 36.2%, 16.6%, and 51.6%, respectively. In general, the proposed method should be beneficial for developing a safe and efficient pedestrian evacuation plan for the multimodal passenger transportation hubs.

     

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