Compromising system and user interests in shelter location and evacuation planning

Bayram, Vedat; Tansel, Barbaros Ç.; Yaman, Hande

doi:10.1016/j.trb.2014.11.010

Cited by 153 publications

(110 citation statements)

References 46 publications

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“…Dalal, Mohapatra, and Mitra (2007) adopted a heuristic approach based on the Elzinga-Hearn method in their study. Bayram, Tansel, and Yaman (2015) developed a non-linear mixed integer programming model to locate shelters optimally and to assign evacuees to the nearest shelter sites by assigning them to the shortest paths so as to minimize total evacuation time. Kılcı et al (2015) proposed a mixed integer linear programming model for temporary shelter site selection and validated it using a case study of Kartal, Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

Trivedi

Singh

2019

Multi Criteria Decision Anal

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This paper explores the location and relocation decision problem of temporary shelters under uncertain damage situations in humanitarian relief contexts. The article proposes a multicriteria decision support framework based on fuzzy sets, analytic hierarchy process, technique for order preference by similarity to ideal solution, and weighted goal programming to address the issue of temporary shelter planning. The paper formulates a multiobjective location–relocation model that considers multiple objectives of risk, number of sites, unmet demand, qualitative suitability of locations, unmet demand, and nature of land ownership while generating solutions under different scenarios of earthquake damage. The robustness and performance of the proposed model are illustrated using a real case study of 2015 Nepal earthquake. The framework can benefit governments and humanitarian agencies in high‐seismic areas for adequate shelter planning under damage uncertainties.

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Section: Literature Reviewmentioning

confidence: 99%

Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

Trivedi

Singh

2019

Multi Criteria Decision Anal

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“…Then, we have

0true c_{i j, t} = min_{p \in P_{i j}} \sum_{k \in p} T_{k} (g_{k})

where

T_{k} false(g_{k} false) = δ_{k} (1 + α_{k} {(g_{k} / γ_{k})}^{β_{k}})

is the conventional BPR function (BPR, ) with node specific parameters

α_{k}, β_{k}, γ_{k}, δ_{k} .

More suitable transportation cost functions can also be used. To illustrate the model, we use BPR function as it is still a widely used tool for planning purposes (e.g., Bayram et al, ). Road segments (i.e., a type of infrastructure) are also represented by nodes in this article, just like other infrastructure components.…”

Section: Modelmentioning

confidence: 99%

“…More suitable transportation cost functions can also be used. To illustrate the model, we use BPR function as it is still a widely used tool for planning purposes (e.g., Bayram et al, 2015). Road segments (i.e., a type of infrastructure) are also represented by nodes in this article, just like other infrastructure components.…”

Section: Community Behaviormentioning

confidence: 99%

Vulnerability of Interdependent Urban Infrastructure Networks: Equilibrium after Failure Propagation and Cascading Impacts

Wang

Ouyang

et al. 2018

Computer aided Civil Eng

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The functionality of modern cities relies heavily on interdependent infrastructure systems such as those for water, power, and transportation. Disruptions often propagate within and across physical infrastructure networks and result in catastrophic consequences. The reaction of communities to disasters (e.g., seeking alternative resource sources) may further transfer and aggravate the burden on surviving infrastructures, which may facilitate cascading secondary disruptions. Hence, a holistic analysis framework that integrates infrastructure interdependencies and human community behaviors is needed to evaluate a city's vulnerability to disruptions and to assess the impact of a disaster. To this end, we develop a game‐theoretical equilibrium model in a multilayer infrastructure network to systematically investigate the mutual influence between the infrastructures and the communities. Two types of infrastructure failure patterns are formulated to capture general network interdependencies; network equilibrium is extended into infrastructure and community systems to address redistribution of demand for life‐supporting resources; the societal impact of disasters is estimated based on communities’ resource demand loss, cost increase, as well as total infrastructure failures. A real‐world case study based on Maiduguri, Nigeria, is implemented to demonstrate the proposed model and algorithm, and to reveal insights.

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“…Sherali et al (1991) first introduced the P-median model to address the problem of locating hurricane and flood disaster shelters. Based on the P-median model, Bayram et al (2015) studied the problem of earthquake shelter location and population evacuation for Istanbul earthquake disasters with the objective to minimize the total evacuation time. Similarly, the P-center and covering models were also used widely to solve shelter location-allocation problems (Berman and Krass 2002;Dalal et al 2007;Pan 2010;Kılcı et al 2015;Gama et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Kongsomsaksakul et al (2005) proposed a bi-level model based on Stackelberg game theory to solve problems of shelter location and evacuation following flood disasters, presenting relationships between shelter capacity and the number of selected shelters. Bayram et al (2015) considered traffic flow in a P-median model to minimize evacuation time, describing how evacuation time increased in concert with traffic flow, and discussed the effects of shelter number and tolerance levels on total evacuation time. Most recently, Xu et al (2018) provided a hybrid bilevel model for earthquake emergency shelter location and allocation by considering the dynamic number of evacuees and its implementation, and the model results were also compared with the ones from multiple objective models.…”

Section: Introductionmentioning

confidence: 99%

Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time

Zhao

Xü

et al. 2017

Int J Disaster Risk Sci

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Determining the location of earthquake emergency shelters and the allocation of affected population to them are key issues that face shelter planning and emergency management. To solve this emergency shelter location-allocation problem, evacuation time and the construction cost of shelters-both influenced by the evacuation population size and its spatial distribution-are two important considerations. In this article, a mathematical model with two objectives-to minimize total weighted evacuation time (TWET) and total shelter area (TSA)-is allied with a modified particle swarm optimization algorithm to address the problem. The relationships between evacuation population size, evacuation time, and total shelter area are examined using Jinzhan Town in Chaoyang District of Beijing, China, as a case study. The results show that TWET has a power function relationship with TSA under different population size scenarios, and a linear function applies between evacuation population and TWET under different TSAs. The joint relationships of TSA, TWET, and population size show that TWET increases with population increase and TSA decrease, and compared with TSA, population influences TWET more strongly. Given a reliable projection of population change and spatial planning of a study area, this method can be useful for government decision making on the location of earthquake emergency shelters and on the allocation of evacuees to those shelters.

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Compromising system and user interests in shelter location and evacuation planning

Cited by 153 publications

References 46 publications

Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

Shelter planning for uncertain seismic hazards using multicriteria decision approach: A case of Nepal earthquake

Vulnerability of Interdependent Urban Infrastructure Networks: Equilibrium after Failure Propagation and Cascading Impacts

Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time

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