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

He, Yanjin; Jung, Hosang

doi:10.3390/su10051607

Cited by 13 publications

(7 citation statements)

References 44 publications

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“…3) Calculation of Probability Composite Score Based on TOPSIS Model: The TOPSIS model is a multi-criteria decision analysis method for evaluating and ranking alternatives. [9] Its strength lies in its ability to handle multi-criteria decision problems and provide clear ranking results. Thus, using the TOPSIS model we can convert the frequency of different extreme weather hazards occurring in various regions into the form of a composite score and ultimately an insurance risk index.…”

Section: Insurance Risk Composite Index Based On Ewm and Topsismentioning

confidence: 99%

Balancing Acts: Tradeoff among Insurance, Architecture and Community Resilience

Li,

Zhu,

Zhang

2024

Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–

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Extreme weather events worldwide have led to substantial economic losses, prompting a crisis for property owners and insurers. This paper introduces the Available Profit of Insurance Model and the Architecture Conservation Model, aiming to reconcile insurer profitability with property owner affordability. First, the model is constructed, comprising the insurance rate and risk components, with specific formulas derived using methodologies such as the Black-Scholes model and gray prediction model. Then nine construction location types are identified and analyzed across various countries, revealing geographical location as a significant factor in insurer decision-making. Furthermore, fifteen secondary indicators are selected to establish the Architecture Conservation Model, aiding in recognizing and preserving architectural value. The model's accuracy is validated through application to a specific region, offering recommendations for protective measures. A sensitivity analysis is conducted on influencing factors, and the model's strengths, weaknesses, and suggestions for optimization are discussed. Finally, with the combination of above two models, Buenos Aires Metropolitan Cathedral goes down as a typical case with analytical value, and recommendations are provided to the community.

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Section: Insurance Risk Composite Index Based On Ewm and Topsismentioning

confidence: 99%

Balancing Acts: Tradeoff among Insurance, Architecture and Community Resilience

Li,

Zhu,

Zhang

2024

Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23–

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“…Mainly, activities such as the distribution of humanitarian aid supplies (e.g., [25,34,35]) are studied. Other activities analyzed in this phase include prioritizing areas damaged post-disaster ( [36]) and searching for missing persons (e.g., [26]).…”

Section: Disaster Lifecycle Stagementioning

confidence: 99%

Humanitarian Logistics Prioritization Models: A Systematic Literature Review

Carnero Quispe,

Couto,

de Brito Junior

et al. 2024

Logistics

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Background: Disasters have caused suffering across the world throughout history. Different types of disaster events can manifest themselves in different ways, originating from natural phenomena, human actions and their interconnected interactions. In recent years, organizations in charge of disaster management have faced a series of challenges in humanitarian logistics, leading to an increasing consideration of the use of models of prioritization, in most multi-criteria models, to define the best alternatives for more assertive and strategic decision-making. Methods: This article aims to conduct a systematic review of the literature on the application of prioritization models in humanitarian logistics. To this end, an analysis was carried out of 40 articles, indexed in the Scopus or Web of Science databases. Results: The descriptive analysis revealed that the majority of applications are aimed at dealing with sudden-onset natural-induced disasters. However, there are still gaps in relevant areas, such as addressing inventory management problems at a tactical decision level. Conclusions: The development of prioritization models necessitates the integration of various methodologies, combining optimization models with multi-criteria decision analysis to yield superior outcomes. It is advised to incorporate four distinct criteria—efficiency, effectiveness, equity, and sustainability—to ensure a comprehensive assessment of the decision-making process.

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“…Sheu (2007), for instance, outlined the distribution of an emergency logistics strategy for meeting the immediate relief needs of the impacted communities within three days of the vital rescue period. He and Jung (2018) examined determining the priority of disaster-damaged areas. Following the establishment of four criteria used in a real-world case study.…”

Section: Literature Reviewmentioning

confidence: 99%

A prepositioning model for prioritized demand points considering lateral transshipment

Anvari

Boyer

2023

JHLSCM

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Purpose This paper aims to examine the integration of lateral transshipment and road vulnerability into the humanitarian relief chain in light of affected area priority to address equitable distribution and assess the impact of various parameters on the total average inflated distance traveled per relief item. Design/methodology/approach After identifying comprehensive critical criteria and subcriteria, a hybrid multi-criteria decision-making framework was applied to obtain the demand points’ weight and ranking in a real-life earthquake scenario. Direct shipment and lateral transshipment models were then presented and compared. The developed mathematical models are formulated as mixed-integer programming models, considering facility location, inventory prepositioning, road vulnerability and quantity of lateral transshipment. Findings The study found that the use of prioritization criteria and subcriteria, in conjunction with lateral transshipment and road vulnerability, resulted in a more equitable distribution of relief items by reducing the total average inflated distance traveled per relief item. Research limitations/implications To the best of the authors’ knowledge, this study is one of the first research on equity in humanitarian response through prioritization of demand points. It also bridges the gap between two areas that are typically treated separately: multi-criteria decision-making and humanitarian logistics. Practical implications This is the first scholarly work in Shiraz focused on the equitable distribution system by prioritization of demand points and assigning relief items to them after the occurrence of a medium-scale earthquake scenario considering lateral transshipment in the upper echelon. Originality/value The paper clarifies how to prioritize demand points to promote equity in humanitarian logistics when the authors have faced multiple factors (i.e. location of relief distribution centers, inventory level, distance, lateral transshipment and road vulnerability) simultaneously.

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

Cited by 13 publications

References 44 publications

Balancing Acts: Tradeoff among Insurance, Architecture and Community Resilience

Balancing Acts: Tradeoff among Insurance, Architecture and Community Resilience

Humanitarian Logistics Prioritization Models: A Systematic Literature Review

A prepositioning model for prioritized demand points considering lateral transshipment

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