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Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey

Yıl 2017, Cilt 2, Sayı 3, 84 - 90, 01.10.2017
https://doi.org/10.26833/ijeg.317314

Öz

Disaster is a natural or human-induced event that adversely affects the individual or the society. The magnitude of a disaster is measured by directly proportional to the damage it causes. In order to bring disaster and damage to a minimum level, it is quite important to plan and implement the evacuation and to place the victims in a safer region. Therefore, in this study the most suitable temporary shelter site selection will be investigated by the multi-criteria decision analysis method based on GIS for Kocaeli Gölcük district. For this purpose, 15 criteria were determined by considering literature search, the mutual interviews with the disaster experts and priorities of the Gölcük district. Analytical Hierarchy Process (AHP) was used to determine the criteria weights. Analyses were made using ArcGIS, QGIS, and ERDAS software. All raster maps were classified at the same scale, the classification was completed by giving the highest score for the most suitable conditions and the lowest score for the unsuitable conditions. Classified raster maps were used in the overlay analysis on GIS and suitability map of temporary shelter areas was obtained for Gölcük district. As a result, 243.900 m2 of temporary shelter region was selected by a manual process from the most and very suitable areas within the boundary of the Gölcük.

Kaynakça

  • Doerner, K.F., Gutjahr, W.J., Nolz, P.C., 2009. Multi- criteria location planning for public facilities in tsunami- prone coastal areas. Or Spectrum, 31(3), 651-678.
  • Erener, A., Düzgün, S., Yalciner, A.C., 2012. Evaluating land use/cover change with temporal satellite data and information systems. Procedia Technology, 1, 385-389.
  • Jahanshahloo, G.R., Lotfi, F.H., Izadikhah, M., 2006. Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
  • Kavzoglu, T., Sahin, E.K., Colkesen, I., 2014. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression, Landslides, 11(3), 425-439.
  • Lixin, Y., Lingling, G., Dong, Z., Junxue, Z., Zhanwu, G., 2012. An analysis on disasters management system in China. Natural hazards, 60(2), 295-309.
  • Mete, H.O., Zabinsky, Z.B., 2010. Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84.
  • Myers, J.H., Alpert, M.I., 1968. Determinant buying attitudes: meaning and measurement. The Journal of Marketing, 13-20.
  • Nobre, A., Pacheco, M., Jorge, R., Lopes, M.F.P., Gato, L.M.C., 2009. Geo-spatial multi-criteria analysis for wave energy conversion system deployment. Renewable energy, 34(1), 97-111.
  • Özdemir, H., 2002. Afetlere Hazırlık Aşamasında Geçici İskân Alanlarının Belirlenmesi. Doğu Coğrafya Dergisi, 12, 237-254.
  • Poser, K., Dransch, D., 2010. Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica, 64(1), 89-98.
  • Reubens, B., Moeremans, C., Poesen, J., Nyssen, J., Tewoldeberhan, S., Franzel, S., Deckers, J., Orwa C., Muys, B., 2011. Tree species selection for land rehabilitation in Ethiopia: from fragmented knowledge to an integrated multi-criteria decision approach. Agroforestry Systems, 82(3), 303-330.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281.
  • Shokati, B., Asgharipour, M. R., Ghanbari, A., & Feizizadeh, B., 2016. Suitability assessment of Saffron cultivation using GIS based multi-criteria decision analysis approach; study area: East-Azerbaijan province. Desert, 21(2), 115-131.
  • Soltani, A., Ardalan, A., Boloorani, A.D., Haghdoost, A., Hosseinzadeh-Attar, M.J., 2015. Criteria for Site Selection of Temporary Shelters after Earthquakes: a Delphi Panel, PLOS Currents Disasters, 7, 1-13.
  • The Sphere Project. 2000. Oxfam GB. Oxford, U.K.
  • Xu, J., Yin, X., Chen, D., An, J., Nie, G., 2016. Multi- criteria location model of earthquake evacuation shelters to aid in urban planning. International Journal of Disaster Risk Reduction, 20, 51-62.
  • Yi, W., Ozdamar, L., 2004. Fuzzy modeling for coordinating logistics in emergencies. International Scientific Journal of Methods and Models of Complexity-Special Issue on Societal Problems in Turkey, 7(1), 20.
  • Zhu, J., Liu, D., Huang, J., Han, J. (2010, August). Determining storage locations and capacities for emergency response. In The Ninth International Symposium on Operations Research and Its Applications (ISORA’10), pp. 262-269.

Yıl 2017, Cilt 2, Sayı 3, 84 - 90, 01.10.2017
https://doi.org/10.26833/ijeg.317314

Öz

Kaynakça

  • Doerner, K.F., Gutjahr, W.J., Nolz, P.C., 2009. Multi- criteria location planning for public facilities in tsunami- prone coastal areas. Or Spectrum, 31(3), 651-678.
  • Erener, A., Düzgün, S., Yalciner, A.C., 2012. Evaluating land use/cover change with temporal satellite data and information systems. Procedia Technology, 1, 385-389.
  • Jahanshahloo, G.R., Lotfi, F.H., Izadikhah, M., 2006. Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
  • Kavzoglu, T., Sahin, E.K., Colkesen, I., 2014. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression, Landslides, 11(3), 425-439.
  • Lixin, Y., Lingling, G., Dong, Z., Junxue, Z., Zhanwu, G., 2012. An analysis on disasters management system in China. Natural hazards, 60(2), 295-309.
  • Mete, H.O., Zabinsky, Z.B., 2010. Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84.
  • Myers, J.H., Alpert, M.I., 1968. Determinant buying attitudes: meaning and measurement. The Journal of Marketing, 13-20.
  • Nobre, A., Pacheco, M., Jorge, R., Lopes, M.F.P., Gato, L.M.C., 2009. Geo-spatial multi-criteria analysis for wave energy conversion system deployment. Renewable energy, 34(1), 97-111.
  • Özdemir, H., 2002. Afetlere Hazırlık Aşamasında Geçici İskân Alanlarının Belirlenmesi. Doğu Coğrafya Dergisi, 12, 237-254.
  • Poser, K., Dransch, D., 2010. Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica, 64(1), 89-98.
  • Reubens, B., Moeremans, C., Poesen, J., Nyssen, J., Tewoldeberhan, S., Franzel, S., Deckers, J., Orwa C., Muys, B., 2011. Tree species selection for land rehabilitation in Ethiopia: from fragmented knowledge to an integrated multi-criteria decision approach. Agroforestry Systems, 82(3), 303-330.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281.
  • Shokati, B., Asgharipour, M. R., Ghanbari, A., & Feizizadeh, B., 2016. Suitability assessment of Saffron cultivation using GIS based multi-criteria decision analysis approach; study area: East-Azerbaijan province. Desert, 21(2), 115-131.
  • Soltani, A., Ardalan, A., Boloorani, A.D., Haghdoost, A., Hosseinzadeh-Attar, M.J., 2015. Criteria for Site Selection of Temporary Shelters after Earthquakes: a Delphi Panel, PLOS Currents Disasters, 7, 1-13.
  • The Sphere Project. 2000. Oxfam GB. Oxford, U.K.
  • Xu, J., Yin, X., Chen, D., An, J., Nie, G., 2016. Multi- criteria location model of earthquake evacuation shelters to aid in urban planning. International Journal of Disaster Risk Reduction, 20, 51-62.
  • Yi, W., Ozdamar, L., 2004. Fuzzy modeling for coordinating logistics in emergencies. International Scientific Journal of Methods and Models of Complexity-Special Issue on Societal Problems in Turkey, 7(1), 20.
  • Zhu, J., Liu, D., Huang, J., Han, J. (2010, August). Determining storage locations and capacities for emergency response. In The Ninth International Symposium on Operations Research and Its Applications (ISORA’10), pp. 262-269.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik, Ortak Disiplinler
Bölüm Articles
Yazarlar

Erman Şentürk>
Kocaeli University, Department of Surveying Engineering
Türkiye


Arzu Erener>
Kocaeli University, Department of Surveying Engineering
Türkiye

Yayımlanma Tarihi 1 Ekim 2017
Yayınlandığı Sayı Yıl 2017, Cilt 2, Sayı 3

Kaynak Göster

Bibtex @araştırma makalesi { ijeg317314, journal = {International Journal of Engineering and Geosciences}, eissn = {2548-0960}, address = {}, publisher = {Murat YAKAR}, year = {2017}, volume = {2}, number = {3}, pages = {84 - 90}, doi = {10.26833/ijeg.317314}, title = {Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey}, key = {cite}, author = {Şentürk, Erman and Erener, Arzu} }
APA Şentürk, E. & Erener, A. (2017). Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey . International Journal of Engineering and Geosciences , 2 (3) , 84-90 . DOI: 10.26833/ijeg.317314
MLA Şentürk, E. , Erener, A. "Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey" . International Journal of Engineering and Geosciences 2 (2017 ): 84-90 <https://dergipark.org.tr/tr/pub/ijeg/issue/31034/317314>
Chicago Şentürk, E. , Erener, A. "Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey". International Journal of Engineering and Geosciences 2 (2017 ): 84-90
RIS TY - JOUR T1 - Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey AU - Erman Şentürk , Arzu Erener Y1 - 2017 PY - 2017 N1 - doi: 10.26833/ijeg.317314 DO - 10.26833/ijeg.317314 T2 - International Journal of Engineering and Geosciences JF - Journal JO - JOR SP - 84 EP - 90 VL - 2 IS - 3 SN - -2548-0960 M3 - doi: 10.26833/ijeg.317314 UR - https://doi.org/10.26833/ijeg.317314 Y2 - 2017 ER -
EndNote %0 International Journal of Engineering and Geosciences Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey %A Erman Şentürk , Arzu Erener %T Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey %D 2017 %J International Journal of Engineering and Geosciences %P -2548-0960 %V 2 %N 3 %R doi: 10.26833/ijeg.317314 %U 10.26833/ijeg.317314
ISNAD Şentürk, Erman , Erener, Arzu . "Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey". International Journal of Engineering and Geosciences 2 / 3 (Ekim 2017): 84-90 . https://doi.org/10.26833/ijeg.317314
AMA Şentürk E. , Erener A. Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey. IJEG. 2017; 2(3): 84-90.
Vancouver Şentürk E. , Erener A. Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey. International Journal of Engineering and Geosciences. 2017; 2(3): 84-90.
IEEE E. Şentürk ve A. Erener , "Determination of temporary shelter areas in natural disasters by GIS: a case study, Gölcük/Turkey", International Journal of Engineering and Geosciences, c. 2, sayı. 3, ss. 84-90, Eki. 2017, doi:10.26833/ijeg.317314

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