Using Agent-based Simulation for Safety: Fact-finding about a crowd accident to improve public space design

Yuanyuan Liu, Toshiyuki Kaneda


With the growing city density and large gatherings happening all over the world, crowd safety has become a new topic. This research discusses how to diagnosis and improve crowd safety in urban public space by analysing a real crowd accident that happened in Shanghai in 2014 using an agent-based simulator. Fact-finding analysis shows that insufficient capacity of the whole area, density difference in bottleneck stairs and lack of separation measurements in front of bottleneck stairs are the main causes of the accident. According to the media query towards the original space plan, we made two alternative plans in the bottleneck area and tested their performances.


crowd accident; agent-based simulation; city design; disaster prevention; crowd management

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Bund Chen Yi Square Crowd Accident Fact-Finding Committee, Fact-Finding Report on Bund Chen Yi Square Crowd Accident (in Chinese), 2015.

W. Xi and W. Xu, “Remodel Classic, the Centenary Shanghai Bund: Detailed Plan of the Urban Design & Site Plan of Shanghai Bund Waterfront,” Urbanism and Architecture, pp. 42-45, 2011-2.

T. Kaneda, T. Yoshida, Y. He, et al, “Adding Higher Intelligent Functions to Pedestrian Agent Model,” Pedestrian and Evacuation Dynamics 2008, pp. 529-535, 2010.

Southern Metropolis Daily. (2015. January 1). [Online]. Available:


Copyright (c) 2020 Yuanyuan Liu, Toshiyuki Kaneda

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