用户名: 密码: 验证码:
Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis
详细信息    查看全文
  • 作者:Abdullah Korkut Üstün
  • 关键词:Disaster resilience capacity ; İstanbul ; Data envelopment analysis ; Returns to scale analysis ; Slack ; based model
  • 刊名:Natural Hazards
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:80
  • 期:3
  • 页码:1603-1623
  • 全文大小:553 KB
  • 参考文献:Al-Shammari M (1999) A multi-criteria data envelopment analysis model for measuring the productive efficiency of hospitals. Int J Oper Prod Manag 19(9):879–891CrossRef
    Ambraseys NN, Finkel CF (1991) Long-term Seismicity of İstanbul and of the Marmara Sea Region. Terra Nova 3(1991):527–539CrossRef
    Azadeh A, Armin R-G, Mohsen M (2014) Location optimization of wind power generation–transmission systems under uncertainty using hierarchical fuzzy DEA: a case study. Renew Sustain Energy Rev 30:877–885CrossRef
    Balamir M (1999) Reproducing the fatalist society: an evaluation of the ‘disasters’ and ‘development’ laws and regulations in Turkey. In: Urban settlements and natural disasters. Proceedings of UIA region II workshop, Chamber of Architects of Turkey
    Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092CrossRef
    Barr RS, Siems TF (1997) Bank failure prediction using DEA to measure management quality. Interfaces in computer science and operations research. Springer, New York, pp 341–365CrossRef
    Castelli L, Pesenti R (2014) Network, shared flow and multi-level DEA models: a critical review. Data envelopment analysis. Springer, New York, pp 329–376CrossRef
    Chang YC, Yu MM (2014) Measuring production and consumption efficiencies using the slack-based measure network data envelopment analysis approach: the case of low-cost carriers. J Adv Transp 48(1):15–31CrossRef
    Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444CrossRef
    Charnes A, Cooper WW, Golany B, Seiford LM, Stutz J (1985) Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J Econom 30:91–107CrossRef
    Charnes A, Cooper WW, Huang ZM, Sun DB (1990) Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks. J Econ 30:91–107CrossRef
    Cook WD, Zhu J (2006) Modeling performance measurement: applications and implementation issues in DEA, vol 566. Springer, Berlin
    Cooper WW, Seiford LM, Tone K (2000) Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Kluwer Academic Publisher, Dordrecht
    Cooper WW, Seiford LM, Tone K (2006) Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Kluwer Academic Publisher, Dordrecht
    Cooper WW, Seiford LM, Zhu J (2011) Handbook on data envelopment analysis, vol 164. Springer, Berlin
    Dash U, Vaishnavi SD, Muraleedharan VR, Acharya D (2007) Benchmarking the performance of public hospitals in Tamil Nadu: an application of data envelopment analysis. J Health Manag 9:59. doi:10.​1177/​0972063407009001​04 CrossRef
    Dyckhoff H, Mbock E, Gutgesell S (2014) Distance‐based measures of specialization and balance in multi‐criteria: a DEA‐integrated method. J Multi-Crit Decis Anal. doi:10.​1002/​mcda.​1532
    Dyson RG, Thanassoulis E (1988) Reducing weight flexibility in data envelopment analysis. J Oper Res Soc 39:563–576CrossRef
    Efficiency Measurement System (EMS). http://​www.​microtheory.​unijena.​de/​download/​ems.​pdf
    Erdik M, Aydinoglu N, Fahjan K, Demircioglu M, Siyahi B, Durukal E, Ozbey C, Biro Y, Akman H, Yuzugulu O (2003) Earthquake risk assessment for İstanbul metropolitan area. Earth Eng Vib 2(1):1–25CrossRef
    Ergunay O (1999) A perspective of disaster in Turkey: issues and prospects. In: Urban settlements and natural disasters. Proceedings of UIA region II workshop, Chamber of Architects of Turkey
    Färe R, Grosskopf S, Logan J, Lovell CK (1985) Measuring efficiency in production: with an application to electric utilities. Managerial Issues in Productivity Analysis. Springer, Berlin, pp 185–214CrossRef
    Gulkan P (2000) Code enforcement at municipal level in Turkey: failure of public policy for effective building hazard mitigation. In: Proceedings of the 6th international conference on seismic zoning, no. 21. Earthquake Engineering Research Institute
    ISMEP (2014) İstanbul Seismic Risk Mitigation and Emergency Preparedness Project (ISMEP) conducted by Governorship of İstanbul, İstanbul Project Coordination Unit (IPCU) ISMEP Guide Books, Beyaz Gemi Social Project Agency
    Japan International Cooperation Agency (JICA) (2002) The study on a disaster prevention/mitigation basic plan in İstanbul including Seismic Microzonation in the Republic of Turkey
    Jin J, Zhou D, Zhou P (2014) Measuring environmental performance with stochastic environmental DEA: the case of APEC economies. Econ Model 38:80–86CrossRef
    Kacak H, Ozcan YA, Kavuncubasi S (2014) A new examination of hospital performance after healthcare reform in Turkey: sensitivity and quality comparisons. Int J Public Policy 10(4):178–194CrossRef
    Khodabakhshi M, Asgharian M, Gregoriou GN (2010) An input-oriented super-efficiency measure in stochastic data envelopment analysis: evaluating chief executive officers of US public banks and thrifts. Expert Syst Appl 37(3):2092–2097CrossRef
    Köksalan M, Tuncer C (2009) A DEA-based approach to ranking multi-criteria alternatives. Int J Inf Technol Decis Mak 8(01):29–54CrossRef
    Korkmaz KA (2010) Integrated seismic hazard evaluation and disaster management approach for Turkey. Environ Earth Sci 61(3):467–476CrossRef
    Lewis HF (2014) Performance measurement of major league baseball teams using network DEA. Data envelopment analysis. Springer, Berlin, pp 475–535CrossRef
    Li S, Gholam RJ, Khodabakhshi M (2007) A super-efficiency model for ranking efficient units in data envelopment analysis. Appl Math Comput 184(2):638–648CrossRef
    Montoneri B, Lin TT, Lee CC, Huang SL (2012) Application of data envelopment analysis on the indicators contributing to learning and teaching performance. Teach Teach Educ 28(3):382–395CrossRef
    Ouenniche J, Xu B, Tone K (2014) Relative performance evaluation of competing crude oil prices’ volatility forecasting models: a slacks-based super-efficiency DEA model. Am J Oper Res. doi:10.​4236/​ajor.​2014.​44023
    Özerdem A, Barakat S (2000) After the Marmara earthquake: lessons for avoiding short cuts to disasters. Third World Q 21(3):425–439CrossRef
    Ozgen H, Şahin İ (2010) Measurement of efficiency of the dialysis sector in Turkey using data envelopment analysis. Health Policy 95(2–3):185–193CrossRef
    Parsons T, Toda S, Stein RS, Barka A, Dietrich JH (2000) Heightened odds of a large earthquake near İstanbul: an interaction-based probability calculation. Science 288(5466):661–665CrossRef
    Puri J, Yadav SP (2014) A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India. Expert Syst Appl 41(14):6419–6432CrossRef
    Saein AF, Saen RF (2012) Assessment of the site effect vulnerability within urban regions by data envelopment analysis: a case study in Iran. Comput Geosci 48:280–288CrossRef
    Sharma G, Kataria A (2014) Efficiency of software development projects: a case study on an information technology company in India. Managing service productivity. Springer, Berlin, pp 263–285
    Sherman HD, Zhu J (2006) Service productivity management: improving service performance using data envelopment analysis (DEA). Springer, Berlin
    Staub RB, Souza G, Tabak BM (2010) Evolution of bank efficiency in Brazil: a DEA approach. Eur J Oper Res 202:204–213CrossRef
    Thompson RG, Langemeier LN, Lee CT, Thrall R (1990) The role of multiplier bounds efficiency analysis with application to Kansas farming. J Econ 46:93–108CrossRef
    Ural A, Firat FK (2015) Evaluation of masonry minarets collapsed by a strong wind under uncertainty. Nat Hazards. doi:10.​1007/​s11069-014-1531-7
    Üstün AK, Barbarosoğlu G (2015) Performance evaluation of Turkish disaster relief management system in 1999 earthquakes using data envelopment analysis. Nat Hazards 75(2):1977–1996. doi:10.​1007/​s11069-014-1407-x CrossRef
    Vijayakumar A (2012) Evaluating performance of banks through camel model: a case study of State Bank of India and its associates. Online Int Interdiscip Res J 2(4):104–124
    Wang W-K, Wen-Min L, Pei-Yi L (2014) A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies. Expert Syst Appl 41(9):4290–4297CrossRef
    Wei YM, Fan Y, Lu C, Tsai HT (2004) The assessment of vulnerability to natural disasters in China by using the DEA method. Environ Impact Assess Rev 24(4):427–439CrossRef
    Wei G, Chen J, Wang J (2014) Stochastic efficiency analysis with a reliability consideration. Omega 48:1–9CrossRef
    Wong Y, Beasley JE (1990) Restricting weight flexibility in data envelopment analysis. J Oper Res Soc 41:829–835CrossRef
    Zhao M, Wu WB (2014) Study on the evaluation of rural logistics service providers’ performance based on DEA model. In: 2014 international conference on management science and engineering (ICMSE). IEEE, pp 387–394
    Zhu J (1996) DEA/AR analysis of the 1988–1989 performance of the Nanjing Textiles Corporation. Ann Oper Res 66(5):311–335CrossRef
    Zhu J (2003) Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets and DEA excel solver, vol 51. Springer, Berlin
  • 作者单位:Abdullah Korkut Üstün (1)

    1. Department of Industrial Engineering, Engineering Faculty, Aksaray University, 68100, Aksaray, Turkey
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Hydrogeology
    Geophysics and Geodesy
    Geotechnical Engineering
    Civil Engineering
    Environmental Management
  • 出版者:Springer Netherlands
  • ISSN:1573-0840
文摘
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. Keywords Disaster resilience capacity İstanbul Data envelopment analysis Returns to scale analysis Slack-based model

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700