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Dergiler / Beykoz Akademi Dergisi / 2026 / Özel Sayı

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

Barış Özkan(ONDOKUZ MAYIS UNIVERSITY)0000-0001-7767-4087
Süleyman Mete(MUNZUR UNIVERSITY)0000-0001-7631-5584
Erkan Çelik(MUNZUR UNIVERSITY)0000-0003-4465-0913
Eren Özceylan(Gaziantep University)0000-0002-5213-6335
Sayfa
100–111
Yayın Tarihi
2019-10-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Case results demonstrate the proposed approach’s ability to support efficient and effective disaster management.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In times of disasters, accessing to shelters by the victims is a vital task in humanitarian logistics.
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Temel Bulgular & Veri:As a result, different scenario analyses are generated under the distance and time restrictions between victims and shelters.
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Sonuç & Katkı:Case results demonstrate the proposed approach’s ability to support efficient and effective disaster management.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Capacitated location-allocation · case study · disaster management

Özet

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.

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Bu Makaleye Atıf Yap

Özkan, B., Mete, S., Çelik, E., Özceylan, E. (2019). GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi, Özel Sayı, 100–111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111

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Kaynakça (12)

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