A Capacitated Location-Allocation Model for Flood Disaster Service Operations with Border Crossing Passages and Probabilistic Demand Locations

Mathematical Problems in Engineering

S. A. Mirzapour, K. Y. Wong, K. Govindan

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Potential consequences of flood disasters, including severe loss of life and property, induce emergency managers to find the appropriate locations of relief rooms to evacuate people from the origin points to a safe place in order to lessen the possible impact of flood disasters. In this research, a p-center location problem is considered in order to determine the locations of some relief rooms in a city and their corresponding allocation clusters. This study presents a mixed integer nonlinear programming model of a capacitated facility location-allocation problem which simultaneously considers the probabilistic distribution of demand locations and a fixed line barrier in a region. The proposed model aims at minimizing the maximum expected weighted distance from the relief rooms to all the demand regions in order to decrease the evacuation time of people from the affected areas before flood occurrence. A real-world case study has been carried out to examine the effectiveness and applicability of the proposed model.
OriginalsprogEngelsk
Artikelnummer507953
TidsskriftMathematical Problems in Engineering
Vol/bind2013
Antal sider11
ISSN1024-123X
DOI
StatusUdgivet - 2013

Fingeraftryk

Location-allocation
Service Operations
Disaster
Disasters
Engineering
Mixed Integer Nonlinear Programming
Center Problem
Facility Location
Evacuation
Location Problem
Emergency
Programming Model
Nonlinear Model
Model
Nonlinear programming
Decrease
Line
Managers
Demand

Citer dette

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title = "A Capacitated Location-Allocation Model for Flood Disaster Service Operations with Border Crossing Passages and Probabilistic Demand Locations: Mathematical Problems in Engineering",
abstract = "Potential consequences of flood disasters, including severe loss of life and property, induce emergency managers to find the appropriate locations of relief rooms to evacuate people from the origin points to a safe place in order to lessen the possible impact of flood disasters. In this research, a p-center location problem is considered in order to determine the locations of some relief rooms in a city and their corresponding allocation clusters. This study presents a mixed integer nonlinear programming model of a capacitated facility location-allocation problem which simultaneously considers the probabilistic distribution of demand locations and a fixed line barrier in a region. The proposed model aims at minimizing the maximum expected weighted distance from the relief rooms to all the demand regions in order to decrease the evacuation time of people from the affected areas before flood occurrence. A real-world case study has been carried out to examine the effectiveness and applicability of the proposed model.",
keywords = "FACILITY LOCATION FORBIDDEN REGIONS EQUILIBRIUM PROBLEM 1-CENTER PROBLEM OR/MS RESEARCH BARRIERS PLANE EMERGENCY DISTANCE MANAGEMENT",
author = "Mirzapour, {S. A.} and Wong, {K. Y.} and K. Govindan",
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T2 - Mathematical Problems in Engineering

AU - Mirzapour, S. A.

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AU - Govindan, K.

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AB - Potential consequences of flood disasters, including severe loss of life and property, induce emergency managers to find the appropriate locations of relief rooms to evacuate people from the origin points to a safe place in order to lessen the possible impact of flood disasters. In this research, a p-center location problem is considered in order to determine the locations of some relief rooms in a city and their corresponding allocation clusters. This study presents a mixed integer nonlinear programming model of a capacitated facility location-allocation problem which simultaneously considers the probabilistic distribution of demand locations and a fixed line barrier in a region. The proposed model aims at minimizing the maximum expected weighted distance from the relief rooms to all the demand regions in order to decrease the evacuation time of people from the affected areas before flood occurrence. A real-world case study has been carried out to examine the effectiveness and applicability of the proposed model.

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