How does accessibility to post-disaster relief compare between the aging and the general population? A spatial network optimization analysis of hurricane relief facility locations

Marcelin, Jean Michael; Horner, Mark W.; Özgüven, Eren Erman; Kocatepe, Ayberk

doi:10.1016/j.ijdrr.2015.12.006

Cited by 40 publications

(28 citation statements)

References 45 publications

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“…In this case, it might be reasonable to consider the accessibility of the damaged areas when developing the evaluation metrics for the damaged areas. Marcelin et al [36] focused on the impact of disasters to older adults. They argued that disasters seem to disproportionately affect some demographic groups, and older adults are more vulnerable to the impacts of disasters as compared with other age groups.…”

Section: Step 1: Define Criteria and Alternativesmentioning

confidence: 99%

A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters

Jung

2018

Sustainability

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In this paper, we investigate the priority determination problem for areas that have been damaged during disasters. Relief distribution should be planned while considering the priorities of the damaged areas. To determine the priorities of the damaged areas, we first define four criteria and then propose a voting TOPSIS (technique for order of preference by similarity to ideal solution) that utilizes the fuzzy pair-wise comparison, data envelopment analysis, and TOPSIS. Since the voting TOPSIS is based on the voting results of multiple experts, it can be applied to urgent situations quickly, regardless of the consistency of comparison, the number of alternatives, and the number of participating experts. The proposed approach is validated using a real-world case, and this case analysis shows that the voting TOPSIS is viable.

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Section: Step 1: Define Criteria and Alternativesmentioning

confidence: 99%

A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters

Jung

2018

Sustainability

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“…Esmaelian et al [7] proposed a multicriteria spatial decision that integrates a GIS support system and a multicriteria decision method to identify evacuation shelters and emergency service locations. Marcelin et al [8] have adopted a p-median modeling framework with GIS.…”

Section: Introductionmentioning

confidence: 99%

Efficient Crisis Management by Selection and Analysis of Relief Centers in Disaster Integrating GIS and Multicriteria Decision Methods: A Case Study of Tehran

Choukolaei

Rezaee

Ghasemi

et al. 2021

Mathematical Problems in Engineering

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In Iran, location is usually done by temporary relief organizations without considering the necessary standards or conditions. The inappropriate and unscientific location may have led to another catastrophe, even far greater than the initial tragedy. In this study, the proposed locations of crisis management in the region and the optimal points proposed by the Geographic Information System (GIS), taking into account the opinions of experts and without the opinion of experts, were evaluated according to 18 criteria. First, the optimal areas have been evaluated according to standard criteria extracted by GIS and the intended locations of the region for accommodation in times of crisis. Then, the position of each place is calculated concerning each criterion. The resulting matrix of optimal options was qualitatively entered into the Preference Ranking Organization Method for Evaluation (PROMETHEE) for analysis. The triangular fuzzy aggregation method for weighting and standard classification of criteria for extracting optimal areas using GIS and integrating entropy and the Multiobjective Optimization Based on Ratio Analysis (MOORA) method for prioritizing places in the region are considered in this research. Finally, by applying constraints and using net input and output flows, optimal and efficient options are identified by PROMETHEE V. Among the research options, only four options were optimal and efficient. A case study of the Tehran metropolis is provided to show the ability of the proposed approach for selecting the points in three modes, with/without applying weights and applying crisis management.

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“…In turn, these benchmarks can be used to prioritise mitigation efforts and allocate limited recovery resources optimally (Matisziw, Murray, and Grubesic, 2010;Nowell, Horner, and Widener, 2014;Marcelin et al, 2016). First, the ability to simulate the ramifications of a storm, even if the simulations exhibit imperfections, provides local agencies and emergency management planners with foresight and the capacity to evaluate and improve existing hazard response plans under a variety of extreme scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…Second, the simulations can be used to create benchmarks, which yield empirical reference points for assessing the severity of a storm and its potential economic, infrastructural, and social implications for a community. In turn, these benchmarks can be used to prioritise mitigation efforts and allocate limited recovery resources optimally (Matisziw, Murray, and Grubesic, 2010;Nowell, Horner, and Widener, 2014;Marcelin et al, 2016). Finally, understanding spatial vulnerability can facilitate important planning and policy dialogues that may help to prepare high-risk groups for catastrophic storms, reducing vulnerability and associated effects.…”

Section: Introductionmentioning

confidence: 99%

Hurricane storm surge in Volusia County, Florida: evidence of a tipping point for infrastructure damage

Helderop

Grubesic

2018

Disasters

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Storm surge often is the most destructive consequence of hurricanes and tropical storms, causing significant economic damage and loss of life. Many coastal communities that are located in high-risk areas vis-à-vis hurricanes and tropical storms are prepared for moderate (between six and eight feet) storm surges. Such preparation, though, is not commensurate with more severe, but less frequent, storm surges (greater than eight feet). These gaps in preparedness have serious implications for community resilience. This paper explores elements of the vulnerability and resilience of coastal communities during major storm surge events, drawing on Volusia County, Florida, United States, as a case study. It simulates the impacts of five hurricanes (Categories I-V) and their associated storm surges on local infrastructure systems, populations, and access to resources. The results suggest that Volusia County is subject to a 'tipping point' , where surge damage from Category IV storms is significantly greater than that from Category III and lower hurricanes.

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How does accessibility to post-disaster relief compare between the aging and the general population? A spatial network optimization analysis of hurricane relief facility locations

Cited by 40 publications

References 45 publications

A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters

A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters

Efficient Crisis Management by Selection and Analysis of Relief Centers in Disaster Integrating GIS and Multicriteria Decision Methods: A Case Study of Tehran

Hurricane storm surge in Volusia County, Florida: evidence of a tipping point for infrastructure damage

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