A Multiobjective Approach to Locate Emergency Shelters and Identify Evacuation Routes in Urban Areas

Alçada-Almeida, Luís; Tralhão, Lino; Santos, Luís; Coutinho-Rodrigues, João

doi:10.1111/j.1538-4632.2009.00745.x

Cited by 155 publications

(74 citation statements)

References 49 publications

(46 reference statements)

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“…They studied the location of the relief facilities and demand coverage in the response phase. In this eld, Al cadaAlmeida et al (2009) [11] focused on the evacuation as one of the most important centers, and proposed a model for evacuation planning during a disaster. Their proposed model includes locating shelters as well as evacuation of primary and backup paths.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

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Relief commodities distribution planning considering the features of demand areas: a robust multi-objective approach

2017

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Abstract. Logistics planning plays an important role in providing services to disasterstricken areas. In this study, a scenario-based multi-objective model is presented to locate distribution and evacuation centers and distribute relief commodities with appropriate allocation. It aims to serve the earthquake-stricken areas that are classi ed according to their construction qualities. The objective functions of cost, responsiveness, and demand coverage are considered in the proposed optimization model. Moreover, due to the uncertain nature of a disaster and uncertainty in some parameters of the model, a robust optimization approach is utilized. A revised multi-choice goal programming method is applied to solve the multi-objective model. The proposed model is validated through a case study conducted in the city of Amol. The computational results show the e ciency of the proposed model in a real-world disaster situation.

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Section: Literature Review and Research Gapmentioning

confidence: 99%

“…Constraint (10) models the fact that when there is a ow between DC and EC, relief commodities can be shipped. Constraints (11) and (12) enforce the range of variables.…”

Section: Indices Imentioning

confidence: 99%

Relief commodities distribution planning considering the features of demand areas: a robust multi-objective approach

2017

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“…Some researchers extend these models into various emergency scenarios. Alçada-Almeida et al [16] introduce a multi-objective p-median model to identify the number and location of emergency shelters as well as the evacuation routes that evacuees should follow. Huang et al [17] propose a variation of the p-center model based on the additional assumption that a facility could fail to meet demands that it is supposed to satisfy (e.g., if its capacity is exceeded or its functionality is reduced by damage or other factors), which is likely to happen to many facilities during large-scale emergencies.…”

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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“…Interactive decision support systems (IDSS) have been shown to be effective aids in analyzing complex, multiobjective location problems [15], [1]. Consequently, a GIS-based IDSS was developed to assist governmental agencies and the general public in understanding and analyzing the problem at hand.…”

Section: Case Study Analysismentioning

confidence: 99%

“…There has been also a growing interest in the use of GIS tools to help analyze environmental problems [25]. The use of GIS has great potential to assist in the analysis of HAZMAT facility location issues given the spatial nature of the location decisions and the risks imposed by them [33], [31], [16], [9], [8], [35], [1].…”

mentioning

confidence: 99%

A multiobjective modeling approach to locating incinerators

Alçada-Almeida

Coutinho-Rodrigues

Current

2009

Socio-Economic Planning Sciences

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The location of hazardous material incineration facilities is an important problem due to the environmental, social, and economic impacts that they impose. The costs associated with the facilities and the risks placed on nearby populations are important concerns as are the distributions of these costs and risks. This paper introduces a mixed-integer, multiobjective programming approach to identify the locations and capacities of such facilities. The approach incorporates a Gaussian dispersion model and a multiobjective optimization model in a GIS based inter-active decision support system that planners can access via the Internet. The proposed approach is demonstrated via a case study in central Portugal where the national government has decided to locate a large facility for the incineration of hazardous industrial waste. Due to intense local and national opposition, construction of the facility has been delayed. The system has been designed so that it can be used by decision makers with no special training in dispersion modeling, multiobjective programming, or GIS.

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A Multiobjective Approach to Locate Emergency Shelters and Identify Evacuation Routes in Urban Areas

Cited by 155 publications

References 49 publications

Relief commodities distribution planning considering the features of demand areas: a robust multi-objective approach

Relief commodities distribution planning considering the features of demand areas: a robust multi-objective approach

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

A multiobjective modeling approach to locating incinerators

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