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Earthquake Disaster Management with Considering the Importance of Recovery | ||
| Civil Engineering Infrastructures Journal | ||
| مقاله 8، دوره 52، شماره 1، شهریور 2019، صفحه 115-135 اصل مقاله (1.44 M) | ||
| نوع مقاله: Research Papers | ||
| شناسه دیجیتال (DOI): 10.22059/ceij.2019.254789.1474 | ||
| نویسندگان | ||
| A. Edrisi* 1؛ Moein Askari2 | ||
| 1Assistant Professor, Civil Engineering Department, K.N. Toosi University of Technology, Tehran, Iran. | ||
| 2Highway and Transportation Engineering Department, Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran | ||
| چکیده | ||
| With respect to disasters, earthquake is one of the leading causes of death. Its aftermath can be abated if proper actions take place before the onset of the earthquake. Various sectors in a country are responsible for managing disasters, but the lack of knowledge about the positive effects of their actions makes them reluctant to act decisively. Retrofitting buildings and structures, positioning humanitarian goods, retrofitting transportation links, and devising a disaster response plan all make a city more resistant. The main aim of this paper is to present a robust model to investigate the effect of considering recovery costs on decision making. In this model, the importance of each region changed with due attention to imposed costs to the region without any action. The result shows a 13 percent improvement compare to the previous model. Also, this paper highlights the significance of pre-disaster action on the recovery costs and the importance of taking action before it is too late. | ||
| کلیدواژهها | ||
| Disaster Engineering؛ Mathematical Modelling؛ sustainability؛ Transport Management؛ Transport Planning | ||
| مراجع | ||
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Altay, N. and Green, W.G. (2006). “OR/MS research in disaster operations management”, European Journal of Operational Research, 175(1), 475-493. Balcik, B., Beamon, B. M. and Smilowitz, K. (2008). “Last mile distribution in humanitarian relief”, Journal of Intelligent Transportation Systems, 12(2), 51-63. Boswell, M.R., Deyle, R.E., Smith, R.A. and Baker, E.J. (1999). “A Quantitative method for estimating probable public costs of hurricanes”, Environmental Management, 23(3), 359-372. Chang, S.E. and Nojima, N. (2001). “Measuring post-disaster transportation system performance the 1995 Kobe earthquake in comparative perspective”, Transportation Research Part A, 35(6), 475-494. Chen, A.Y. and Yu, T. (2016). “Network based temporary facility location for the emergency medical services considering the disaster induced demand and the transportation infrastructures in disaster response”, Transportation Research Part B: Methodological, 91, 408-423. Chen, X. and Li, Q. (2017). “Modeling road network vulnerability for evacuees and first responders in no-notice evacuation”, Journal of Advanced Transportation, DOI: 10.1155/2017/6193127. Cheraghi, S. and Hosseini-Motlagh, S.M. (2017). “Optimal blood transportation in disaster relief considering facility disruption and route reliability under uncertainty”, International Journal of Transportation Engineering, 4(3), 225-254. Coburn, A., Pomonis, A., Sakai, S. and Spence, R. (1991). “Assessing human casualties caused by building collapse in earthquakes”, In: Summaries of the International Conference on the Impact of Natural Disasters, University of California, Los Angeles, USA, 10-12 July. Cret, L., Yamazaki, F., Nagata, S. and Katayama, T. (1993). “Earthquake damage estimation and decision analysis for emergency shut-off of city gas networks using fuzzy set theory”, Structural Safety, 12, 1-19. Das, R. (2018). “Disaster preparedness for better response: Logistics perspectives”, International Journal of Disaster Risk Reduction, 31, 153-159. Edrissi, A., Nourinejad M. and Roorda, M.J. (2015). “Transportation network reliability in emergency response”, Transportation Research Part E: Logistics and Transportation Review, 80, 56-73. Edrissi, A., Poorzahedy, H., Nassiri, H. and Nourinejad. M. (2013). “A multi-agent optimization formulation of earthquake prevention and management”, European Journal of Operational Research, 229(1), 261-275. El-Anwar, O., El-Rayes, K. and Elnashai, A.S. (2010). “Maximizing sustainability of integrated housing recovery efforts”, Journal of Construction Engineering and Management, 136(7), 794-802. Fiedrich F., Gehbauer F. and Rickers U. (2000). “Optimized resource allocation for emergency response after earthquake disasters”, Safety Science, 35(1-3), 41-57. Gaddis, B.E., Miles, B., Morse, S. and Lewis, D. (2007). “Full-cost accounting of coastal disasters in United States, Implications for planning and preparedness”, Ecological Economics, 63(2-3), 307-318. Galindo, G. and Batta, R. (2013). “Review of recent developments in OR/MS research in disaster operations management”, European Journal of Operational Research, 230(2), 201-211. Goldschmidt, K.H. and Kumar, S. (2016). “Humanitarian operations and crisis/disaster management: A retrospective review of the literature and framework for development”, International Journal of Disaster Risk Reduction, 20, 1-13. Gonzalez, R.A. (2010). “Developing a multi-agent system of a crisis response organization”, Business Process Management Journal, 6(5), 847-870. Iqbal, S., Sardar, M.U., Lodhi, F.K. and Hasan, O. (2018). “Statistical model checking of relief supply location and distribution in natural disaster management”, International Journal of Disaster Risk Reduction, 31, 1043-1053. Kalkman, J.P. and Waard, E.J. (2017). “Inter-organizational disaster management projects: Finding the middle way between trust and control”, International Journal of Project Management, 35(5), 889-899. Kamamura, S., Shimazaki, D., Genda, K., Sasayama, K. and Uematsu, Y. (2015). “Disaster recovery for transport network through multiple restoration stages”, IEICE Transaction on Communications, E98.B(1), 171-179. Karlaftis, M.G., Kepaptsoglou, K.L. and Lambropoulos, S. (2007). “Fund allocation for transportation network recovery following natural disasters”, Journal of Urban Planning and Development, 133(1), 82-89. Khademi, N., Balaei, B., Shahri, M., Mirzaei, M., Sarrafi, B., Zahabiun, M. and Mohaymany, A.S. (2015). “Transportation network vulnerability analysis for the case of a catastrophic earthquake”, International Journal of Disaster Risk Reduction, 12, 234-245. Koike, A. and Miyamoto, Y. (2017). “Short-run economic assessment of the transportation recovery policy after an earthquake”, 103 MATEC Web Conference, 1-8. Leelawat, N., Suppasri, A. and Imamura, F. (2015). “Disaster recovery and reconstruction following the 2011 Great East Japan earthquake and tsunami: A business process management perspective”, International Journal of Risk Science, 6, 310-314. MacAskill, K. and Guthrie, P. (2016). “Disaster risk reduction and empowering local government, A case comparison between Sri Lanka and New Zealand”, International Journal of Disaster Resilience in the Built Environment, 7(4), 318-329. Manopiniwes, W. and Irohara, T. (2017). “Stochastic optimization model for integrated decisions on relief supply chains: Preparedness for disaster response”, International Journal of Production Research, 55(4), 979-996. McLoughlin, D. (1985). “A framework for integrated emergency management”, Public Administration Review 45 (Special Issue: Emergency Management: A Challenge for Public Administration), 165-172. Mete, H.O. and Zabinsky, Z.B. (2010). “Stochastic optimization of medical supplies location and distribution in disaster management”, International Journal of Production Economics, 126, 76-84. Mowll, R. and Brunsdon, D. (2014). “Earthquake impact on utilities: Planning for recovery”, Proceedings of the Institution of Civil Engineers-Urban Design and Planning, 167(3), 106-114. Mulay, M.R., Kadu, M.S. and Dahasahasra, S.V. (2016). “Managing disasters using pressure dependent demand analysis, Case study of Shirpur town”, Civil Engineering Infrastructure Journal, 49(2), 339-346. Nadi, A. and Edrisi, A. (2017). “Adaptive multi-agent relief assessment and emergency response”, International Journal of Disaster Risk Reduction, 4, 12-23. Poorzahedy, H. and Bushehri, S.N.S. (2005). “Network performance improvement under stochastic events with long-term effects”, Transportation, 32(1), 65-85. Rodriguez-Espindola, O., Albores, P. and Bewster, C. (2015). “A multi-agency perspective to disaster preparedness”, Proceeding of the ISCRAM 2015 Confrence, Kristiansand. Schulz, S.F. and Blecken, A. (2010). “Horizontal cooperation in disaster relief logistics: Benefits and impediments”, International Journal of Physical Distribution and Logistics Management, 40(8-9), 636-656. Song, B., Hao, S., Murakami, S. and Sadohara, S. (1996). “Comprehensive evaluation method on earthquake damage using Fuzzy theory”, Journal of Urban Planing and Development, 122(1), 1-17. Tufekci, S. and Wallace, W.A. (1998). “Theemerging area of emergency management and engineering”, IEEE Transactions on Engineering Management, 45(2), 103-105. United States Geological Survey (USGS) (2006). "Magnitude 6.6, South Eastern Iran", United States Department of the Interior, 10-12. Vitoriano, B., Ortuno, M.T., Tirado, G. and Montero, J. (2011). “A multi-criteria optimization model for humanitarian aid distribution”, Journal of Global Optimization, 51(2), 189-208. Wang, W., Yang, S., Hu, F., He, S., Shi, X., Meng, Y. and Shi, M. (2016). “Integrated optimization model for shelters allocation and evacuation routing with consideration of reliability”, Transportation Research Record, 2599(1), 33-42. Yan, Y., Hong, L., He, X., Ouyang, M., Peeta, S. and Chen, X. (2017). “Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes”, Transportation Research Part E: Logistics and Transportation Review, 105, 39-59. Zhu, S., Kim, W., Chang, G. and Rochon, S. (2014). “Design and evaluation of operational strategies for deploying emergency response teams: Dispatching or patrolling”, Journal of Transportation Engineering, 140(6), 1-12.
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