Site Selection Models in Natural Disaster Shelters: A Review

Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions,...
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Autor*in:	Yunjia Ma [verfasserIn] Wei Xu [verfasserIn] Lianjie Qin [verfasserIn] Xiujuan Zhao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	natural disaster shelters site selection problem optimization model

Übergeordnetes Werk:	In: Sustainability - MDPI AG, 2009, 11(2019), 2, p 399
Übergeordnetes Werk:	volume:11 ; year:2019 ; number:2, p 399

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/su11020399

Katalog-ID:	DOAJ017734231

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allfieldsSound	10.3390/su11020399 doi (DE-627)DOAJ017734231 (DE-599)DOAJe9a53a3c31fb426081d196ff17e723f8 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Yunjia Ma verfasserin aut Site Selection Models in Natural Disaster Shelters: A Review 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions, targeted disasters and applications of different site selection models for natural disaster shelters is investigated. Shelter location models can be classified as single-objective models, multiobjective models and hierarchical models, according to the objective and hierarchy type. Minimizing the evacuation distance or time, shelter construction cost or number, and the total risk are the general objectives of the models. Intelligent optimization algorithms are widely used to solve the models, instead of the Geographic Information System (GIS) method, due to the complexity of the problem. The results indicate that the following should be the main focuses of future works: How to set a model that can be applied for determining the shelter locations of multiple disasters; how to consider the uncertainty in the models; how to improve the existing algorithms or models to solve large-scale location-allocation problems; and how to develop a new resource-saving model that is consistent with the concept of sustainable development, as advocated by shelter planners and policy makers, which can be applied in real situations. This study allows those undertaking shelter location research to situate their work within the context of shelter planning. natural disaster shelters site selection problem optimization model Environmental effects of industries and plants Renewable energy sources Environmental sciences Wei Xu verfasserin aut Lianjie Qin verfasserin aut Xiujuan Zhao verfasserin aut In Sustainability MDPI AG, 2009 11(2019), 2, p 399 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:11 year:2019 number:2, p 399 https://doi.org/10.3390/su11020399 kostenfrei https://doaj.org/article/e9a53a3c31fb426081d196ff17e723f8 kostenfrei http://www.mdpi.com/2071-1050/11/2/399 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 2, p 399
language	English
source	In Sustainability 11(2019), 2, p 399 volume:11 year:2019 number:2, p 399
sourceStr	In Sustainability 11(2019), 2, p 399 volume:11 year:2019 number:2, p 399
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institution	findex.gbv.de
topic_facet	natural disaster shelters site selection problem optimization model Environmental effects of industries and plants Renewable energy sources Environmental sciences
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container_title	Sustainability
authorswithroles_txt_mv	Yunjia Ma @@aut@@ Wei Xu @@aut@@ Lianjie Qin @@aut@@ Xiujuan Zhao @@aut@@
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callnumber-first	T - Technology
author	Yunjia Ma
spellingShingle	Yunjia Ma misc TD194-195 misc TJ807-830 misc GE1-350 misc natural disaster misc shelters misc site selection problem misc optimization model misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences Site Selection Models in Natural Disaster Shelters: A Review
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topic	misc TD194-195 misc TJ807-830 misc GE1-350 misc natural disaster misc shelters misc site selection problem misc optimization model misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences
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title	Site Selection Models in Natural Disaster Shelters: A Review
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title_full	Site Selection Models in Natural Disaster Shelters: A Review
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title_sort	site selection models in natural disaster shelters: a review
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title_auth	Site Selection Models in Natural Disaster Shelters: A Review
abstract	Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions, targeted disasters and applications of different site selection models for natural disaster shelters is investigated. Shelter location models can be classified as single-objective models, multiobjective models and hierarchical models, according to the objective and hierarchy type. Minimizing the evacuation distance or time, shelter construction cost or number, and the total risk are the general objectives of the models. Intelligent optimization algorithms are widely used to solve the models, instead of the Geographic Information System (GIS) method, due to the complexity of the problem. The results indicate that the following should be the main focuses of future works: How to set a model that can be applied for determining the shelter locations of multiple disasters; how to consider the uncertainty in the models; how to improve the existing algorithms or models to solve large-scale location-allocation problems; and how to develop a new resource-saving model that is consistent with the concept of sustainable development, as advocated by shelter planners and policy makers, which can be applied in real situations. This study allows those undertaking shelter location research to situate their work within the context of shelter planning.
abstractGer	Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions, targeted disasters and applications of different site selection models for natural disaster shelters is investigated. Shelter location models can be classified as single-objective models, multiobjective models and hierarchical models, according to the objective and hierarchy type. Minimizing the evacuation distance or time, shelter construction cost or number, and the total risk are the general objectives of the models. Intelligent optimization algorithms are widely used to solve the models, instead of the Geographic Information System (GIS) method, due to the complexity of the problem. The results indicate that the following should be the main focuses of future works: How to set a model that can be applied for determining the shelter locations of multiple disasters; how to consider the uncertainty in the models; how to improve the existing algorithms or models to solve large-scale location-allocation problems; and how to develop a new resource-saving model that is consistent with the concept of sustainable development, as advocated by shelter planners and policy makers, which can be applied in real situations. This study allows those undertaking shelter location research to situate their work within the context of shelter planning.
abstract_unstemmed	Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions, targeted disasters and applications of different site selection models for natural disaster shelters is investigated. Shelter location models can be classified as single-objective models, multiobjective models and hierarchical models, according to the objective and hierarchy type. Minimizing the evacuation distance or time, shelter construction cost or number, and the total risk are the general objectives of the models. Intelligent optimization algorithms are widely used to solve the models, instead of the Geographic Information System (GIS) method, due to the complexity of the problem. The results indicate that the following should be the main focuses of future works: How to set a model that can be applied for determining the shelter locations of multiple disasters; how to consider the uncertainty in the models; how to improve the existing algorithms or models to solve large-scale location-allocation problems; and how to develop a new resource-saving model that is consistent with the concept of sustainable development, as advocated by shelter planners and policy makers, which can be applied in real situations. This study allows those undertaking shelter location research to situate their work within the context of shelter planning.
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title_short	Site Selection Models in Natural Disaster Shelters: A Review
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