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

Year 2017, , 84 - 90, 01.10.2017

Erman Şentürk , Arzu Erener

https://doi.org/10.26833/ijeg.317314

Cited By: 23

Abstract

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.

Keywords

GIS, Multi-Criteria Decision Analysis, Natural Disaster, Temporary Shelter

References

• 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.