Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A multi-objective shelter allocation model for hurricane disaster relief
With the increasing occurrences of natural disaster strikes, how to efficiently evacuate and allocate disaster-affected residents to shelters becomes a necessary task for disaster loss reduction. In this research, a maximum covering based multi-objective model is developed for shelter allocation and resident’s evacuation. The model’s objectives are to maximize shelter coverage of vulnerable victims, minimize the total evacuation time and minimize the total area of all the shelters. The vulnerability is added to the shelter coverage objective function which helps to allocate more vulnerable victims like old, young, unemployed and disable. The vulnerability of each census block is calculated by using percentile rank. Weighted- sum objective approach is used to solve the multi-objective model. This paper analyzes the trade-off between sub-objectives by adding different weight indicating the importance of each objective. A case study of post- hurricane evacuation and shelter allocation in coastal counties of Texas is analyzed taking three scenarios in GAMS win64 24.9.1 using the proposed model.
A multi-objective shelter allocation model for hurricane disaster relief
With the increasing occurrences of natural disaster strikes, how to efficiently evacuate and allocate disaster-affected residents to shelters becomes a necessary task for disaster loss reduction. In this research, a maximum covering based multi-objective model is developed for shelter allocation and resident’s evacuation. The model’s objectives are to maximize shelter coverage of vulnerable victims, minimize the total evacuation time and minimize the total area of all the shelters. The vulnerability is added to the shelter coverage objective function which helps to allocate more vulnerable victims like old, young, unemployed and disable. The vulnerability of each census block is calculated by using percentile rank. Weighted- sum objective approach is used to solve the multi-objective model. This paper analyzes the trade-off between sub-objectives by adding different weight indicating the importance of each objective. A case study of post- hurricane evacuation and shelter allocation in coastal counties of Texas is analyzed taking three scenarios in GAMS win64 24.9.1 using the proposed model.
A multi-objective shelter allocation model for hurricane disaster relief
Shukla, Aakash Ravindrabhai (Autor:in)
01.12.2018
Sonstige
Elektronische Ressource
Englisch
DDC:
710
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