Research on Pedestrian Panic Diffusion Model of Urban Bus Terminals under Emergency Evacuation

With the rapid economic development of China’s big cities and the continuous increase of urban passenger flow, how to guide the safe, and efficient evacuation of personnel in the case of large passenger flow, it has become the focus of attention in the industry. The evacuation behavior of passengers is affected by their own physical and psychological factors as well as the external environment. During the evacuation process, panic is an important factor affecting people’s behavior; people’s panic state is not just a static fixed value, but a transitive and iterative process. First, logistic regressions was performed on data in the social questionnaire, and get the coefficients of various impact indicators. Second, based on system dynamics, established a panic diffusion model during the evacuation of the bus passenger station, and the degree of influence of various factors on the evacuation capacity of the bus passenger station is obtained using this model. Finally, the sensitivity analysis of the model is carried out to obtain suggestions for the evacuation process of stations, which provides a reference for optimizing emergency evacuations in the future.

• Record URL:
  • https://doi.org/10.1061/9780784483053.059
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Dong, Zhewei
  • Yu, Haiyang
  • Xu, Yongneng
  • Yi, Qu
• Conference:
  • 20th COTA International Conference of Transportation Professionals
  • Location: Xi’an , China
  • Date: 2020-8-14 to 2020-8-16
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 687-699
• Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

• TRT Terms: Behavior; Bus terminals; Evacuation; Fear; Logistic regression analysis; Pedestrians; Predictive models
• Geographic Terms: China
• Subject Areas: Pedestrians and Bicyclists; Public Transportation; Security and Emergencies; Terminals and Facilities;

Filing Info

• Accession Number: 01767358
• Record Type: Publication
• ISBN: 9780784483053
• Files: TRIS, ASCE
• Created Date: Mar 22 2021 10:34AM