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A New Approach to the Fine Kinney Method with AHP Based ELECTRE I and Math Model on Risk Assessment for Natural Disasters

Year 2021, Issue: 42, 155 - 164, 07.07.2021

Abstract

Natural disasters impose enormous risks on human living and the environment. Researchers have given more attention to evaluating these risks in the context of disasters. Studies focus on the risk assessment of only one of the natural disasters for the regions. However, a risk assessment should be conducted that includes all-natural disasters for these regions. This risk assessment is dealt with by 8 different provinces in the Aegean region of Turkey in the work. A case data (1990-2020) on natural disasters such as earthquake, fire, landslide, flood, storm/typhoon has been considered for the cities covered. By revising the Fine Kinney risk assessment method for natural disasters, a risk score is obtained for each province. Then, the AHP based ELECTRE I method is applied to these provinces. As a result of this method, the riskiest region is obtained. The location of a crisis center in the riskiest region obtained should ensure effective solutions to the regions which are affected by the results of the disasters. Thus, the problem of choosing the most suitable location in the crisis center is handled with a goal programming approach.

References

  • Almeida, A. T. (2005). Multicriteria modelling of repair contract based on utility and ELECTRE I method with dependability and service quality criteria. Annals of Operations Research, 138(1), 113-126. google scholar
  • AFAD (Ministry of Interior Disaster and Emergency Management Pres-idency), https://tabb-analiz.afad.gov.tr/Default.aspx, Access Date: 25.04.2020. google scholar
  • Chen, N., Chen, L., Tang, C., Wu, Z., Chen, A. (2019). Disaster risk evaluation using factor analysis: a case study of Chinese re-gions. Natural Hazards, 99(1), 321-335. google scholar
  • Dagsuyu, C., Derse, O., Oturakci, M. (2021). Integrated risk prioritiza-tion and action selection for cold chain. Environmental Science and Pollution Research, 28(13), 15646-15658. google scholar
  • Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., Arnold, M. (2005). Natural disaster hotspots: a global risk analysis. The World Bank. google scholar
  • Emblemsvâg, J. (2008). On probability in risk analysis of natural disas-ters. Disaster Prevention and Management: An International Jour-nal. google scholar
  • Eyre, R., De Luca, F., Simini, F. (2020). Social media usage reveals re-covery of small businesses after natural hazard events. Nature com-munications, 11(1), 1-10. google scholar
  • Ersoy, M., Celik, M. Y., Yeşilkaya, L., & Colak, O. (2019). Combination of Fine-Kinney and GRA methods to solve occupational health and safety problems. Journal of the Faculty of Engineering and Archi-tecture of Gazi University, 34(2), 751-770. google scholar
  • Ganguly, K. K., Guin K. K. (2013). A fuzzy AHP approach for inbound supply risk assessment. Benchmarking: Int. J. 20(1), 129-146. google scholar
  • Gul, M., Guven, B., Guneri, A. F. (2018). A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation. Jour-nal ofLoss Prevention in the Process Industries, 53, 3-16. google scholar
  • Guidry, V. T., Margolis, L. H. (2005). Unequal respiratory health risk: using GIS to explore hurricane-related flooding of schools in East-ern North Carolina. Environmental research, 98(3), 383-389. google scholar
  • Guo, J., Zhao, S., Huang, C. (2017). Valid historical data for probabilis-tic risk analysis in natural disasters. Human and Ecological Risk Assessment: An International Journal, 23(3), 474-493. google scholar
  • Hatami-Marbini, A., Tavana, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environ-ment. Omega, 39(4), 373-386. google scholar
  • Hong, J. D., Jeong, K. Y. (2019). Humanitarian supply chain network design using data envelopment analysis and multi-objective pro-gramming models. European Journal of Industrial Engineer-ing, 13(5), 651-680. google scholar
  • Ivcevic, A., Mazurek, H., Siame, L., Moussa, A. B., & Bellier, O. (2019). Indicators in risk management: Are they a user-friendly in-terface between natural hazards and societal responses? Challenges and opportunities after UN Sendai conference in 2015. International Journal of Disaster Risk Reduction, 101301. google scholar
  • Kinney, G. F., Wiruth, A. D. (1976). Practical risk analysis for safety management (No. NWC-TP-5865). Naval Weapons Center China Lake Ca. google scholar
  • Kokangül, A., Polat, U., Dağsuyu, C. (2017). A new approximation for risk assessment using the AHP and Fine Kinney methodolo-gies. Safety science, 91, 24-32. google scholar
  • Lee, C. H., Lin, S. H., Kao, C. L., Hong, M. Y., Shih, C. L., Chuang, C. C. (2020). Impact of climate change on disaster events in metropol-itan cities-trend of disasters reported by Taiwan national medical response and preparedness system. Environmental research, 183, 109186. google scholar
  • Li, N., Liu, X., Xie, W., Wu, J., Zhang, P. (2013). The return period analysis of natural disasters with statistical modeling of bivariate joint probability distribution. Risk Analysis: An International Jour-nal, 33(1), 134-145. google scholar
  • Luchuan, R. E. N. (1999). Advance in risk analysis for regional natural disasters [J]. Advance in Earth Sciences, 3. google scholar
  • Ma, Y., Xu, W., Qin, L., Zhao, X. (2019). Site selection models in natu-ral disaster shelters: a review. Sustainability, 11(2), 399. google scholar
  • Mabrouki, C., Bentaleb, F., Mousrij, A. (2014). A decision support methodology for risk management within a port terminal. Safety Science, 63, 124-132. google scholar
  • Pang, J., Zhang, G., Chen, G. (2011). ELECTRE I Decision Model of Reliability Design Scheme for Computer Numerical Control Ma-chine. JSW, 6(5), 894-900. google scholar
  • Saaty, T. L. (1980). The analytic hierarchy process, new york: Mcgrew hill. International, Translated to Russian, Portuguesses and Chi-nese, Revised edition, Paperback (1996, 2000), Pittsburgh: RWS Publications, 9, 19-22. google scholar
  • Sukcharoen, T., Weng, J., Teetat, C. (2016). GIS-based flood risk model evaluated by Fuzzy Analytic Hierarchy Process (FAHP). In Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII (Vol. 9998, p. 999809). International Society for Optics and Photonics. google scholar
  • Supriyadi, B., Windarto, A. P., Soemartono, T. (2018). Mungad,“Classi-fication of natural disaster prone areas in Indonesia using K-means,”. Int. J. Grid Distrib. Comput, 11(8), 87-98. google scholar
  • Osipov, V. I., Rumyantseva, N. A., Eremina, O. N. (2019). Living with risk of natural disasters. Russian Journal ofEarth Sciences, 19(6). google scholar
  • URL 1, https://www.nufusu.com/ilceleri/izmir-ilceleri-nufusu, Access Date: 01.05.2020. google scholar
  • URL 2, https://www.google.com/maps, Access Date: 01.05.2020. google scholar
  • Yilmaz, F., Ozcan, M. S. (2019). A Risk Analysis and Ranking Applica-tion for Lifting Vehicles Used in Construction Sites with Integrated AHP and Fine-Kinney Approach. Advances in Science and Technol-ogy Research Journal, 13(3). google scholar
  • Xu, X., Liang, D., Chen, X., Zhou, Y. (2015). A risk elimination coordi-nation method for large group decision-making in natural disaster emergencies. Human and Ecological Risk Assessment: An Interna-tional Journal, 21(5), 1314-1325. google scholar

Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım

Year 2021, Issue: 42, 155 - 164, 07.07.2021

Abstract

Doğal afetler insan yaşamı ve çevre üzerinde çok büyük riskler oluşturur. Araştırmacılar bu riskleri afetler bağlamında değerlendirmeye daha fazla önem verdiler. Çalışmalar, bölgelerdeki doğal afetlerden yalnızca birinin risk değerlendirmesine odaklanmaktadır. Ancak bu bölgeler için tamamen doğal afetleri içeren bir risk değerlendirmesi yapılmalıdır. Bu çalışmada, risk değerlendirmesi olarak Türkiye'nin Ege bölgesindeki 8 farklı ilde ele alınmıştır. Kapsanan şehirler için deprem, yangın, heyelan, sel, fırtına / tayfun gibi doğal afetler hakkında bir vaka verisi (1990-2020) dikkate alınmıştır. Doğal afetler için Fine Kinney risk değerlendirme yöntemi revize edilerek, her il için bir risk puanı elde edilmektedir. Daha sonra bu illere AHP tabanlı ELECTRE I yöntemi uygulanır. Bu yöntem sonucunda en riskli bölge elde edilir. Elde edilen en riskli bölgede bir kriz merkezinin konumu, afet sonuçlarından etkilenen bölgelere etkin çözümler getirmelidir. Böylelikle kriz merkezinde en uygun lokasyonu seçme sorunu hedef programlama yaklaşımıyla ele alınmaktadır.

References

  • Almeida, A. T. (2005). Multicriteria modelling of repair contract based on utility and ELECTRE I method with dependability and service quality criteria. Annals of Operations Research, 138(1), 113-126. google scholar
  • AFAD (Ministry of Interior Disaster and Emergency Management Pres-idency), https://tabb-analiz.afad.gov.tr/Default.aspx, Access Date: 25.04.2020. google scholar
  • Chen, N., Chen, L., Tang, C., Wu, Z., Chen, A. (2019). Disaster risk evaluation using factor analysis: a case study of Chinese re-gions. Natural Hazards, 99(1), 321-335. google scholar
  • Dagsuyu, C., Derse, O., Oturakci, M. (2021). Integrated risk prioritiza-tion and action selection for cold chain. Environmental Science and Pollution Research, 28(13), 15646-15658. google scholar
  • Dilley, M., Chen, R. S., Deichmann, U., Lerner-Lam, A. L., Arnold, M. (2005). Natural disaster hotspots: a global risk analysis. The World Bank. google scholar
  • Emblemsvâg, J. (2008). On probability in risk analysis of natural disas-ters. Disaster Prevention and Management: An International Jour-nal. google scholar
  • Eyre, R., De Luca, F., Simini, F. (2020). Social media usage reveals re-covery of small businesses after natural hazard events. Nature com-munications, 11(1), 1-10. google scholar
  • Ersoy, M., Celik, M. Y., Yeşilkaya, L., & Colak, O. (2019). Combination of Fine-Kinney and GRA methods to solve occupational health and safety problems. Journal of the Faculty of Engineering and Archi-tecture of Gazi University, 34(2), 751-770. google scholar
  • Ganguly, K. K., Guin K. K. (2013). A fuzzy AHP approach for inbound supply risk assessment. Benchmarking: Int. J. 20(1), 129-146. google scholar
  • Gul, M., Guven, B., Guneri, A. F. (2018). A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation. Jour-nal ofLoss Prevention in the Process Industries, 53, 3-16. google scholar
  • Guidry, V. T., Margolis, L. H. (2005). Unequal respiratory health risk: using GIS to explore hurricane-related flooding of schools in East-ern North Carolina. Environmental research, 98(3), 383-389. google scholar
  • Guo, J., Zhao, S., Huang, C. (2017). Valid historical data for probabilis-tic risk analysis in natural disasters. Human and Ecological Risk Assessment: An International Journal, 23(3), 474-493. google scholar
  • Hatami-Marbini, A., Tavana, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environ-ment. Omega, 39(4), 373-386. google scholar
  • Hong, J. D., Jeong, K. Y. (2019). Humanitarian supply chain network design using data envelopment analysis and multi-objective pro-gramming models. European Journal of Industrial Engineer-ing, 13(5), 651-680. google scholar
  • Ivcevic, A., Mazurek, H., Siame, L., Moussa, A. B., & Bellier, O. (2019). Indicators in risk management: Are they a user-friendly in-terface between natural hazards and societal responses? Challenges and opportunities after UN Sendai conference in 2015. International Journal of Disaster Risk Reduction, 101301. google scholar
  • Kinney, G. F., Wiruth, A. D. (1976). Practical risk analysis for safety management (No. NWC-TP-5865). Naval Weapons Center China Lake Ca. google scholar
  • Kokangül, A., Polat, U., Dağsuyu, C. (2017). A new approximation for risk assessment using the AHP and Fine Kinney methodolo-gies. Safety science, 91, 24-32. google scholar
  • Lee, C. H., Lin, S. H., Kao, C. L., Hong, M. Y., Shih, C. L., Chuang, C. C. (2020). Impact of climate change on disaster events in metropol-itan cities-trend of disasters reported by Taiwan national medical response and preparedness system. Environmental research, 183, 109186. google scholar
  • Li, N., Liu, X., Xie, W., Wu, J., Zhang, P. (2013). The return period analysis of natural disasters with statistical modeling of bivariate joint probability distribution. Risk Analysis: An International Jour-nal, 33(1), 134-145. google scholar
  • Luchuan, R. E. N. (1999). Advance in risk analysis for regional natural disasters [J]. Advance in Earth Sciences, 3. google scholar
  • Ma, Y., Xu, W., Qin, L., Zhao, X. (2019). Site selection models in natu-ral disaster shelters: a review. Sustainability, 11(2), 399. google scholar
  • Mabrouki, C., Bentaleb, F., Mousrij, A. (2014). A decision support methodology for risk management within a port terminal. Safety Science, 63, 124-132. google scholar
  • Pang, J., Zhang, G., Chen, G. (2011). ELECTRE I Decision Model of Reliability Design Scheme for Computer Numerical Control Ma-chine. JSW, 6(5), 894-900. google scholar
  • Saaty, T. L. (1980). The analytic hierarchy process, new york: Mcgrew hill. International, Translated to Russian, Portuguesses and Chi-nese, Revised edition, Paperback (1996, 2000), Pittsburgh: RWS Publications, 9, 19-22. google scholar
  • Sukcharoen, T., Weng, J., Teetat, C. (2016). GIS-based flood risk model evaluated by Fuzzy Analytic Hierarchy Process (FAHP). In Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII (Vol. 9998, p. 999809). International Society for Optics and Photonics. google scholar
  • Supriyadi, B., Windarto, A. P., Soemartono, T. (2018). Mungad,“Classi-fication of natural disaster prone areas in Indonesia using K-means,”. Int. J. Grid Distrib. Comput, 11(8), 87-98. google scholar
  • Osipov, V. I., Rumyantseva, N. A., Eremina, O. N. (2019). Living with risk of natural disasters. Russian Journal ofEarth Sciences, 19(6). google scholar
  • URL 1, https://www.nufusu.com/ilceleri/izmir-ilceleri-nufusu, Access Date: 01.05.2020. google scholar
  • URL 2, https://www.google.com/maps, Access Date: 01.05.2020. google scholar
  • Yilmaz, F., Ozcan, M. S. (2019). A Risk Analysis and Ranking Applica-tion for Lifting Vehicles Used in Construction Sites with Integrated AHP and Fine-Kinney Approach. Advances in Science and Technol-ogy Research Journal, 13(3). google scholar
  • Xu, X., Liang, D., Chen, X., Zhou, Y. (2015). A risk elimination coordi-nation method for large group decision-making in natural disaster emergencies. Human and Ecological Risk Assessment: An Interna-tional Journal, 21(5), 1314-1325. google scholar
There are 31 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Onur Derse 0000-0002-4528-1999

Publication Date July 7, 2021
Submission Date February 9, 2021
Published in Issue Year 2021 Issue: 42

Cite

APA Derse, O. (2021). Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım. Journal of Geography(42), 155-164.
AMA Derse O. Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım. Journal of Geography. July 2021;(42):155-164.
Chicago Derse, Onur. “Doğal Afetler için AHP Tabanlı ELECTRE I Ve Matematik Model Ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım”. Journal of Geography, no. 42 (July 2021): 155-64.
EndNote Derse O (July 1, 2021) Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım. Journal of Geography 42 155–164.
IEEE O. Derse, “Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım”, Journal of Geography, no. 42, pp. 155–164, July 2021.
ISNAD Derse, Onur. “Doğal Afetler için AHP Tabanlı ELECTRE I Ve Matematik Model Ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım”. Journal of Geography 42 (July 2021), 155-164.
JAMA Derse O. Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım. Journal of Geography. 2021;:155–164.
MLA Derse, Onur. “Doğal Afetler için AHP Tabanlı ELECTRE I Ve Matematik Model Ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım”. Journal of Geography, no. 42, 2021, pp. 155-64.
Vancouver Derse O. Doğal Afetler için AHP Tabanlı ELECTRE I ve Matematik Model ile Risk Değerlendirmesine Ilişkin Fine Kinney Yöntemine Yeni Bir Yaklaşım. Journal of Geography. 2021(42):155-64.