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

Yıl 2019, , 100 - 111, 01.10.2019
https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111

Öz

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.

Kaynakça

  • Boonmee, C., Arimura, M. & Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International Journal of Disaster Risk Reduction, 24, 485–498.
  • Dal, M., Öcal, A.D. & Göktepe, D. (2017). Natural disaster of Tunceli province and its environment. Proceedings of 4th International Regional Development Conference, Tunceli (pp. 601–607).
  • Doungpan, S., Moryadee, S., U-Tapao, C. & Laokhongthavorn, Z. (2018). Analysis of three emergency medical location models: A case study of Thailand. Proceedings of International Conference on System Science and Engineering (pp. 1–6).
  • Fetter, G. & Rakes, T. (2012). Incorporating recycling into post-disaster debris disposal. SocioEconomic Planning Sciences, 46(1), 14–22.
  • Haghani, A. (1996). Capacitated maximum covering location models: Formulations and solution procedures. Journal of Advanced Transportation, 30(3), 101–136.
  • Hashim, N.M., Shariff, S.S.R. & Deni, S.M. (2017). Capacitated maximal covering location allocation problem during flood disaster. Advanced Science Letters, 23(11), 11545– 11548.
  • Onat, O. & Yön, B. (2018). Earthquake risk amplification based on architectural plan irregularity. Proceedings of 2nd International Symposium on Natural Hazards and Disaster Management, Sakarya (pp. 665–674).
  • Pan, A.-P. (2011). A constructive genetic algorithm for the P-median location problem of typhoon emergency shelter in China coastal rural areas. Key Engineering Materials, 480-481, 1215–1220.
  • Saeidian, B., Mesgari, M.S., Pradhan, B. & Ghodousi, M. (2018). Optimized location-allocation of earthquake relief centers using PSO and ACO, Complemented by GIS, Clustering, and TOPSIS. ISPRS International Journal of Geo-Information, 7(8), 1–25.
  • Tavakkoli-Moghaddam, R., Memari, P. & Talebi, E. (2018). A bi-objective location-allocation problem of temporary emergency stations and ambulance routing in a disaster situation. Proceedings of 4th International Conference on Optimization and Applications, Morocco (pp. 1–4).
  • Ye, F., Zhao, Q., Xi, M. & Dessouky, M. (2015). Chinese national emergency warehouse location research based on VNS algorithm. Electronic Notes in Discrete Mathematics, 47, 61–68.
  • Zhang, M., Zhang, Y., Qiu, Z. & Wu, H. (2019). Two-stage covering location model for airground medical rescue system. Sustainability, 11(12), 3242.
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Barış Özkan 0000-0001-7767-4087

Süleyman Mete 0000-0001-7631-5584

Erkan Çelik 0000-0003-4465-0913

Eren Özceylan 0000-0002-5213-6335

Yayımlanma Tarihi 1 Ekim 2019
Gönderilme Tarihi 20 Ağustos 2019
Kabul Tarihi 1 Ekim 2019
Yayımlandığı Sayı Yıl 2019

Kaynak Göster

APA 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 Dergisi100-111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111
AMA Özkan B, Mete S, Çelik E, Özceylan E. GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi. Published online 01 Ekim 2019:100-111. doi:10.14514/byk.m.26515393.2019.sp/100-111
Chicago Özkan, Barış, Süleyman Mete, Erkan Çelik, ve Eren Özceylan. “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”. Beykoz Akademi Dergisi, Ekim (Ekim 2019), 100-111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111.
EndNote Özkan B, Mete S, Çelik E, Özceylan E (01 Ekim 2019) GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi 100–111.
IEEE B. Özkan, S. Mete, E. Çelik, ve E. Özceylan, “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”, Beykoz Akademi Dergisi, ss. 100–111, Ekim 2019, doi: 10.14514/byk.m.26515393.2019.sp/100-111.
ISNAD Özkan, Barış vd. “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”. Beykoz Akademi Dergisi. Ekim 2019. 100-111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111.
JAMA Özkan B, Mete S, Çelik E, Özceylan E. GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi. 2019;:100–111.
MLA Özkan, Barış vd. “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”. Beykoz Akademi Dergisi, 2019, ss. 100-11, doi:10.14514/byk.m.26515393.2019.sp/100-111.
Vancouver Özkan B, Mete S, Çelik E, Özceylan E. GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi. 2019:100-11.