Araştırma Makalesi

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

1 Ekim 2019
Beykoz Akademi Dergisi Kapak
Beykoz Akademi Dergisi
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GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI

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.

Anahtar Kelimeler

Kaynakça

  1. Boonmee, C., Arimura, M. & Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International Journal of Disaster Risk Reduction, 24, 485–498.
  2. 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).
  3. 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).
  4. Fetter, G. & Rakes, T. (2012). Incorporating recycling into post-disaster debris disposal. SocioEconomic Planning Sciences, 46(1), 14–22.
  5. Haghani, A. (1996). Capacitated maximum covering location models: Formulations and solution procedures. Journal of Advanced Transportation, 30(3), 101–136.
  6. 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.
  7. 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).
  8. 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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

1 Ekim 2019

Gönderilme Tarihi

20 Ağustos 2019

Kabul Tarihi

1 Ekim 2019

Yayımlandığı Sayı

Yıl 2019

DOI

https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111

IZ

https://izlik.org/JA44PJ65NX

Kaynak Göster

RIS / Bibtex
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 Dergisi, 100-111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111
AMA
1.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. 2019. “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”. Beykoz Akademi Dergisi, Ekim 1, 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
[1]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, Eki. 2019, doi: 10.14514/byk.m.26515393.2019.sp/100-111.
ISNAD
Özkan, Barış - Mete, Süleyman - Çelik, Erkan - Özceylan, Eren. “GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI”. Beykoz Akademi Dergisi. 01 Ekim 2019. 100-111. https://doi.org/10.14514/byk.m.26515393.2019.sp/100-111.
JAMA
1.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, Ekim 2019, ss. 100-11, doi:10.14514/byk.m.26515393.2019.sp/100-111.
Vancouver
1.Barış Özkan, Süleyman Mete, Erkan Çelik, Eren Özceylan. GIS-BASED MAXIMUM COVERING LOCATION MODEL IN TIMES OF DISASTERS: THE CASE OF TUNCELI. Beykoz Akademi Dergisi. 01 Ekim 2019;100-11. doi:10.14514/byk.m.26515393.2019.sp/100-111

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