- Beykoz Akademi Dergisi
- BEYKOZ AKADEMİ 2019 Special Issue
- GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI
GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI
Authors : Barış Özkan, Süleyman Mete, Erkan Çelik, Eren Özceylan
Pages : 100-111
Doi:10.14514/byk.m.26515393.2019.sp/100-111
View : 14 | Download : 5
Publication Date : 2019-10-01
Article Type : Research
Abstract :In times of disasters, accessing to shelters by the victims is a vital task in humanitarian logistics. One of the humanitarian logistics challenges is the difficulty involved in effectively coordinating large numbers of victims. Especially, the lack of spatial information involved in the rescue and recovery region is an obstacle for efficient planning. In this paper, a geographic information system (GIS)-based solution approach is developed to manage the assignments of victims to the shelters in times of disasters. To do so, the capacitated maximize coverage tool of ArcGIS is used and tested on the case of Tunceli city. As a result, different scenario analyses are generated under the distance and time restrictions between victims and shelters. Case results demonstrate the proposed approach’s ability to support efficient and effective disaster management.Keywords : Capacitated location-allocation, case study, disaster management, geographic information system, maximum covering