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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/18312

Title: Evacuation planning with flood inundation as inputs
Authors: Yang, Lili
Liu, Qun
Yang, Shuang-Hua
Yu, Dapeng
Keywords: Multi-objective optimization
Flood evacuation planning
Genetic Algorithm (GA)
Dijkstra’s algorithm
Issue Date: 2015
Publisher: ISCRAM 2015
Citation: YANG, L. et al., 2015. Evacuation planning with flood inundation as inputs. IN: Palen. L. et al. (eds.) Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, Kristiansand, Norway, 24-27 May, 8pp.
Abstract: Recent flooding events happening in our city demonstrate frequency and severity of floods in the UK, highlighting the need to plan and prepare, and efficiently defend. Different from the numerous evacuation model and optimization algorithms, this paper aims to address flood evacuation planning with flood inundation as inputs. A dynamic flooding model and prediction to estimate the development of both surface water and flooding from rivers and watercourses has been fed into evacuation planning at various levels. A three-step approach is proposed. The first step is to identify assembly point designation. The second step is to find the candidate shortest path from each assembly point to all safe areas for all evacuees with consideration of possible inundation. The last step is to determine the optimal safe area for evacuees in the inundation area. The work presented in this paper has emphasized timing issue in evacuation planning. A case study is given to illustrate the use of the approach.
Description: This is a conference paper.
Sponsor: National Environment Research Council (NERC) through the project (NE/M008770/1)
Version: Published
URI: https://dspace.lboro.ac.uk/2134/18312
Publisher Link: http://iscram2015.uia.no/?p=1667
ISBN: 978-82-7117-788-1
ISSN: 2411-3387
Appears in Collections:Conference Papers and Contributions (Geography)

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