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Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China

BACKGROUND: Determining the locations of disaster emergency shelters and the allocation of impacted residents are key components in shelter planning and emergency management. Various models have been developed to solve this location–allocation problem, but gaps remain regarding the processes of haza...

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Autores principales: Qin, Lianjie, Xu, Wei, Zhao, Xiujuan, Ma, Yunjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279570/
https://www.ncbi.nlm.nih.gov/pubmed/30975763
http://dx.doi.org/10.1136/injuryprev-2018-043081
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author Qin, Lianjie
Xu, Wei
Zhao, Xiujuan
Ma, Yunjia
author_facet Qin, Lianjie
Xu, Wei
Zhao, Xiujuan
Ma, Yunjia
author_sort Qin, Lianjie
collection PubMed
description BACKGROUND: Determining the locations of disaster emergency shelters and the allocation of impacted residents are key components in shelter planning and emergency management. Various models have been developed to solve this location–allocation problem, but gaps remain regarding the processes of hazards. This study attempts to develop a model based on the change of typhoon track that addresses the location–allocation problem for typhoon emergency shelters. PURPOSE: To consider the changes in candidate shelters and number of evacuees due to the change in impact area with the progression of a typhoon. METHODS: The proposed model is composed of several static processes and solved by a modified particle swarm optimisation algorithm with a restart strategy. RESULTS: The model is illustrated with the case of the evacuation process for Wenchang in Hainan province during Typhoon Rammasun in 2014 and Typhoon Mirinae in 2016. For the case of Typhoon Rammasun in 2014, the residents from east to west need to evacuate in three phases. For the case of Typhoon Mirinae in 2016, residents in the northern communities need not to evacuate to candidate shelters because they are not affected by the typhoon. CONCLUSION: The proposed model has advantages compared with non-typhoon track change–based model in saving time spent in shelters for residents and saving public resources for the local governments. With the proposed model, a manager could efficiently evacuate residents by considering the typhoon conditions.
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spelling pubmed-72795702020-06-15 Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China Qin, Lianjie Xu, Wei Zhao, Xiujuan Ma, Yunjia Inj Prev Original Research BACKGROUND: Determining the locations of disaster emergency shelters and the allocation of impacted residents are key components in shelter planning and emergency management. Various models have been developed to solve this location–allocation problem, but gaps remain regarding the processes of hazards. This study attempts to develop a model based on the change of typhoon track that addresses the location–allocation problem for typhoon emergency shelters. PURPOSE: To consider the changes in candidate shelters and number of evacuees due to the change in impact area with the progression of a typhoon. METHODS: The proposed model is composed of several static processes and solved by a modified particle swarm optimisation algorithm with a restart strategy. RESULTS: The model is illustrated with the case of the evacuation process for Wenchang in Hainan province during Typhoon Rammasun in 2014 and Typhoon Mirinae in 2016. For the case of Typhoon Rammasun in 2014, the residents from east to west need to evacuate in three phases. For the case of Typhoon Mirinae in 2016, residents in the northern communities need not to evacuate to candidate shelters because they are not affected by the typhoon. CONCLUSION: The proposed model has advantages compared with non-typhoon track change–based model in saving time spent in shelters for residents and saving public resources for the local governments. With the proposed model, a manager could efficiently evacuate residents by considering the typhoon conditions. BMJ Publishing Group 2020-06 2019-04-11 /pmc/articles/PMC7279570/ /pubmed/30975763 http://dx.doi.org/10.1136/injuryprev-2018-043081 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Qin, Lianjie
Xu, Wei
Zhao, Xiujuan
Ma, Yunjia
Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title_full Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title_fullStr Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title_full_unstemmed Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title_short Typhoon track change–based emergency shelter location–allocation model: a case study of Wenchang in Hainan province, China
title_sort typhoon track change–based emergency shelter location–allocation model: a case study of wenchang in hainan province, china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279570/
https://www.ncbi.nlm.nih.gov/pubmed/30975763
http://dx.doi.org/10.1136/injuryprev-2018-043081
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