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Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis

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  • Abdullah Üstün

Abstract

İstanbul is one of the most important commercial, cultural, industrial, and educational centers in the world. However, İstanbul is also an earthquake-prone city, and it has experienced many of them throughout history. It is likely to be threatened by a huge, destructive earthquake in the next few years. In this study, the earthquake resilience capacity of İstanbul and her districts is evaluated by data envelopment analysis (DEA) models and returns to scale analysis. The efficient and inefficient districts are determined and discussed, for possible improvements of inefficient units in input and output values. The classification of İstanbul’s districts is applied according to vulnerabilities representing the potential losses from casualties, damage, destruction, and/or business interruption in a possible earthquake by DEA and returns to scale analysis. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Abdullah Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:3:p:1603-1623
    DOI: 10.1007/s11069-015-2041-y
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    3. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    6. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    7. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    8. Ali Ural & Fatih Firat, 2015. "Evaluation of masonry minarets collapsed by a strong wind under uncertainty," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 999-1018, March.
    9. Hakan Kacak & Yasar A. Ozcan & Sahin Kavuncubasi, 2014. "A new examination of hospital performance after healthcare reform in Turkey: sensitivity and quality comparisons," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 10(4/5), pages 178-194.
    10. Murat Köksalan & Ceren Tuncer, 2009. "A Dea-Based Approach To Ranking Multi-Criteria Alternatives," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 29-54.
    11. Wei, Guiwu & Chen, Jian & Wang, Jiamin, 2014. "Stochastic efficiency analysis with a reliability consideration," Omega, Elsevier, vol. 48(C), pages 1-9.
    12. Azadeh, Ali & Rahimi-Golkhandan, Armin & Moghaddam, Mohsen, 2014. "Location optimization of wind power generation–transmission systems under uncertainty using hierarchical fuzzy DEA: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 877-885.
    13. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, January.
    14. Herbert F. Lewis, 2014. "Performance Measurement of Major League Baseball Teams Using Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 475-535, Springer.
    15. Özgen, Hacer & Sahin, Ismet, 2010. "Measurement of efficiency of the dialysis sector in Turkey using data envelopment analysis," Health Policy, Elsevier, vol. 95(2-3), pages 185-193, May.
    16. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    17. Lorenzo Castelli & Raffaele Pesenti, 2014. "Network, Shared Flow and Multi-level DEA Models: A Critical Review," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 329-376, Springer.
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