An optimization model for the location of disaster refuges

Pérez-Galarce, Francisco; Canales, Linda J.; Vergara, Claudio; Candia-Véjar, Alfredo

doi:10.1016/j.seps.2016.12.001

Cited by 57 publications

(35 citation statements)

References 22 publications

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“…Their model determines the location of shelter areas while taking shelter area utilizations into account. Pérez-Galarce et al [27] develop an optimization approach that is able to locate and assign refuge centers through enabling buildings to provide shelter, as well as medical and psychological assistance to the victims. However, these papers neglect building cost, which is also an important factor in emergency shelters planning.…”

Section: Shelter Site Locationmentioning

confidence: 99%

Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

Zhao

Sun

et al. 2017

Sustainability

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Abstract:In recent years, extreme natural hazards threaten cities more than ever due to contemporary society's high vulnerability in cities. Hence, local governments need to implement risk mitigation and disaster operation management to enhance disaster resilience in cities. Transforming existing open spaces within cities into emergency shelters is an effective method of providing essential life support and an agent of recovery in the wake of disasters. Emergency shelters planning must identify suitable locations for shelters and reasonably allocate evacuees to those shelters. In this paper, we first consider both the buildings' post-disaster condition and the human choice factor that affect evacuees' decision, and propose a forecasting method to estimate the time-varying shelter demand. Then we formulate an integrated location-allocation model that is used sequentially: an emergency shelter location model to satisfy the time-varying shelter demand in a given urban area with a goal of minimizing the total setup cost of locating the shelters and an allocation model that allocates the evacuees to shelters with a goal of minimizing their total evacuation distance. We also develop an efficient algorithm to solve the model. Finally, we propose an emergency shelters planning based on a case study of Shanghai, China.

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Section: Shelter Site Locationmentioning

confidence: 99%

Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

Zhao

Sun

et al. 2017

Sustainability

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“…e reasonable location of emergency facilities plays an important role in both predisaster service and postdisaster response. Suitable prepositioned emergency facilities can help the government to launch rescue efforts as quickly as possible during the response stage [3]. Moreover, damage to the transportation network often affects the accessibility of demand points, which can seriously hamper timely rescue operations [4].…”

Section: Introductionmentioning

confidence: 99%

“…3, 0.5] 260 9.57 176 168 (1-2),(4)(5),(6)(7)(8),(9)(10),(3)(4)(5)(6)(7)(8)(9)(10)(11)(12),(773 131 269 (1-2), (4-5), (6-8), (10-11), (3-12), (12-13), (7-18), (16-18), (21-22) 1, 0.2] 260 12.47 176 324 (1-2), (4-5), (6-8), (8-9), (10-11), (3-12), (8-16), (7For G � 500 and ω � 0.5, the primary facility and the backup facility that is allocated to each demand point and the entire reinforcement links are shown inFigure 6. Here, the black arrow line indicates the primary facility of the demand point, the blue dotted arrow line indicates the backup facility of the demand point, and the red line along the link indicates the link to be reinforced.…”

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confidence: 99%

Optimization Model Based on Reachability Guarantee for Emergency Facility Location and Link Reinforcement

Liu

2020

Journal of Advanced Transportation

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The reasonable location of emergency facilities plays an important role in both predisaster service and postdisaster relief. Moreover, damage to the transportation network often affects the accessibility of demand points, which can seriously hamper timely rescue operations. Reasonable location of emergency facilities and reinforcement of fragile roads are two important strategies to improve the reachability of demand points. In this paper, we proposed a biobjective optimization model to determine locations of emergency facilities and links to be reinforced given a limited budget. Each demand point is allocated a primary facility and a backup facility, the former can provides normal service, and the latter is prepared for postdisaster relief. One goal of the model is to minimize the operating cost of normal services, and another goal is to maximize the reachability guarantee of demand points. The novelty and contribution of this paper are that we defined the reachability by introducing damage tolerance instead of link failure probability. Based on this, we defined the reachability guarantee to deal with the worst scenario of disasters. By embedding the max-flow problem of the reachability guarantee into the emergency facility location problem, the locations of emergency facilities and links to be reinforced can be determined simultaneously. The methodology is applied to a simplified Sioux Falls transportation network. Results such as the trade-off curve of two goals, budget efficiency, and the effect of reinforcement demonstrated the effectiveness of the model.

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“…Simultaneously, when a disaster occurs, if individuals do not have a number of security emergency shelters, together with the general public's lack of basic knowledge of the disaster prevention safety, it is likely to lead to chaos in the social order and among the public, cause serious social unrests and losses, and endanger the public safety of cities [4]. Emergency shelter is one of the most important tools now in disaster relief operations and it is also a concrete manifestation of humanitarian logistics, which can be used both for an immediate response and for long-term measures [5]. Planning emergency shelters in advance is an effective approach to reducing the damage caused by disasters and ensuring the safety of residents.…”

Section: Introductionmentioning

confidence: 99%

Planning Emergency Shelters for Urban Disasters: A Multi-Level Location–Allocation Modeling Approach

Shi

Zhai

et al. 2019

Sustainability

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In recent years, cities are threatened by various natural hazards. Planning emergency shelters in advance is an effective approach to reducing the damage caused by disasters and ensuring the safety of residents. Thus, providing the optimal layout of urban emergency shelters is an important stage of disaster management and an act of humanitarian logistics. In order to study the optimal layout of emergency shelters in small mountain cities, this paper constructs multi-level location models for different grades of emergency shelters so as to minimize the travel and construction costs and maximize the coverage rate. Specifically, the actual service of emergency shelters is determined using Geographic Information System (GIS) software and Weighted Voronoi Diagram (WVD) models under the limitation of site capacity, and the space layout is adjusted through combining the actual urban land with the construction position. In this paper, the Jianchuan county seat at Yunnan Province, China, was considered as a case study to illustrate the models of emergency shelters in which the feasibility of the presented models is verified. The proposed research methods and models have provided theoretical basis and a benchmark for the optimal layout of emergency shelters in other small mountain cities.

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An optimization model for the location of disaster refuges

Cited by 57 publications

References 22 publications

Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

Optimization Model Based on Reachability Guarantee for Emergency Facility Location and Link Reinforcement

Planning Emergency Shelters for Urban Disasters: A Multi-Level Location–Allocation Modeling Approach

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