GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI

Authors : Barış ÖZKAN, Süleyman METE, Erkan ÇELİK, Eren ÖZCEYLAN

Pages : 100-111

Doi:10.14514/byk.m.26515393.2019.sp/100-111

View : 30 | Download : 15

Publication Date : 2019-10-01

Article Type : Research Paper

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