气候变化领域集成服务门户(CCPortal): A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios

CCPortal

DOI	10.1007/s11069-021-04960-x
	A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios
	Li B.; Hou J.; Ma Y.; Bai G.; Wang T.; Xu G.; Wu B.; Jiao Y.
发表日期	2021
ISSN	0921030X
英文摘要	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. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	2D hydrodynamic model Cellular automata Flood hazard assessment Morpeth flood simulation Shortest route planning algorithm
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206357
作者单位	State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5 Jinhua Road, Xi’an, 710048, China; Hanjiang-To-Weihe River Valley Water Diversion Project Construction Co., Ltd., Xi’an, Shaanxi 710010, China; Power China Road Bridge Group Co., LTD, Beijing, 100089, China
推荐引用方式 GB/T 7714	Li B.,Hou J.,Ma Y.,et al. A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios[J],2021.
APA	Li B..,Hou J..,Ma Y..,Bai G..,Wang T..,...&Jiao Y..(2021).A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios.Natural Hazards.
MLA	Li B.,et al."A coupled high-resolution hydrodynamic and cellular automata-based evacuation route planning model for pedestrians in flooding scenarios".Natural Hazards (2021).