A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios

Bingyao Li, Jingming Hou (), Yongyong Ma, Ganggang Bai, Tian Wang, Guoxin Xu, Binzhong Wu and Yongbao Jiao
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Bingyao Li: Xi’an University of Technology
Jingming Hou: Xi’an University of Technology
Yongyong Ma: Xi’an University of Technology
Ganggang Bai: Xi’an University of Technology
Tian Wang: Xi’an University of Technology
Guoxin Xu: Hanjiang-To-Weihe River Valley Water Diversion Project Construction Co., Ltd.
Binzhong Wu: Power China Road Bridge Group Co., LTD
Yongbao Jiao: Power China Road Bridge Group Co., LTD

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 110, issue 1, No 27, 607-628

Abstract: Abstract Flooding is now becoming one of the most frequent and widely distributed natural hazards, with significant losses to human lives and property around the world. Evacuation of pedestrians during flooding events is a crucial factor in flood risk management, in addition to saving people’s lives and increasing time for rescue. The key objective of this work is to propose a shortest evacuation path planning algorithm by considering the evacuable areas and human instability during floods. A shortest route optimization algorithm based on cellular automata is established while using diagonal distance calculation methods in heuristic search algorithms. The Morpeth flood event that occurred in 2008 in the UK is used as a case study, and a highly accurate and efficient 2D hydrodynamic model is adopted to discuss the flood characteristics in flood plains. Two flood hazard assessment approaches [i.e., empirical and mechanics-based and experimental calibrated (M&E)] are chosen to study human instability. A comprehensive analysis shows that extreme events are better identified with mechanics-based and experimental calibration methods than with an empirical method. The result of M&E is used as the initial condition for the Morpeth evacuation scenario. Evacuation path planning in Morpeth shows that this algorithm can realize shortest route planning with multiple starting points and ending points at the microscale. These findings are of significance for flood risk management and emergency evacuation research.

Keywords: 2D hydrodynamic model; Morpeth flood simulation; Flood hazard assessment; Cellular automata; Shortest route planning algorithm (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-021-04960-x

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