Industrial Engineering and Management Systems

  • 제12권4호
  • /
  • Pages.336-350
  • /
  • 2013
  • /
  • 1598-7248(pISSN)
  • /
  • 2234-6473(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
권호 표지
DOI QR코드

DOI QR Code

Disaster Assessment and Mitigation Planning: A Humanitarian Logistics Based Approach

  • Das, Kanchan (Technology Systems Department, East Carolina University) ;
  • Lashkari, R.S. (Department of Industrial and Manufacturing Systems Engineering, University of Windsor) ;
  • Biswas, N. (Department of Civil and Environmental Engineering, University of Windsor)
  • 투고 : 2013.01.29
  • 심사 : 2013.11.14
  • 발행 : 2013.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes a mathematical modeling-based approach for assessing disaster effects and selecting suitable mitigation alternatives to provide humanitarian relief (HR) supplies, shelter, rescue services, and long-term services after a disaster event. Mitigation steps, such as arrangement of shelter and providing HR items (food, water, medicine, etc.) are the immediate requirements after a disaster. Since governments and non-governmental organizations (NGOs) providing humanitarian aid need to know the requirements of relief supplies and resources for collecting relief supplies, organizing and initiating mitigation steps, a quick assessment of the requirements is the precondition for effective disaster management. Based on satellite images from weather forecasting channels, an area/dimension of the disaster-affected zones and the extent of the overall damage may often be obtained. The proposed approach then estimates the requirements for HR supplies, supporting resources, and rescue services using the census and other government data. It then determines reliable transportation routes, optimum collection and distribution centers, alternatives for resource support, rescue services, and long-term help needed for the disaster-affected zones. A numerical example illustrates the applicability of the model in disaster mitigation planning.

키워드

참고문헌

  1. ABC News (2010), Hundreds evacuated in Victorian flood disaster, cited 2013, Nov 1, Available from: http://www.abc.net.au/news/stories/2010/09/05/3002830.htm.
  2. Altay, N. and Green III, W. G. (2006), OR/MS research in disaster operations management, European Journal of Operational Research, 175(1), 475-493. https://doi.org/10.1016/j.ejor.2005.05.016
  3. Auf der Heide, E. (2006), The importance of evidencebased disaster planning, Annals of Emergency Medicine, 47(1), 34-49. https://doi.org/10.1016/j.annemergmed.2005.05.009
  4. Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., and Ramirez, M. (2010), Coordination in humanitarian relief chains: practices, challenges and opportunities, International Journal of Production Economics, 126(1), 22-34. https://doi.org/10.1016/j.ijpe.2009.09.008
  5. Bathala, B. S. (2005), The role of physical medicine and rehabilitation after an acute disaster situation: a case report, Archives of Physical Medicine and Rehabilitation,86(9), e31.
  6. Berkoune, D., Renaud, J., Rekik, M., and Ruiz, A. (2012), Transportation in disaster response operations, Socio-Economic Planning Sciences, 46(1), 23-32. https://doi.org/10.1016/j.seps.2011.05.002
  7. Caunhye, A. M., Nie, X., and Pokharel, S. (2012), Optimization models in emergency logistics: a literature review, Socio-Economic Planning Sciences, 46 (1), 4-13. https://doi.org/10.1016/j.seps.2011.04.004
  8. Chen, A. Y., Pena-Mora, F., and Ouyang, Y. (2011), A collaborative GIS framework to support equipment distribution for civil engineering disaster response operations, Automation in Construction, 20(5), 637-648. https://doi.org/10.1016/j.autcon.2010.12.007
  9. Chen, X., Kwan, M. P., Li, Q., and Chen, J. (2012), A model for evacuation risk assessment with consideration of pre- and post-disaster factors, Computers, Environment and Urban Systems, 36(3), 207-217. https://doi.org/10.1016/j.compenvurbsys.2011.11.002
  10. CONSRN, Consortium to Restore Shattered Livelihoods in Tsunami-Devastated Nations (2005), Impacts of the tsunami on fisheries and aquaculture livelihoods: regional overview, cited 2013 Nov 1, Available from: http://tsunami.icsf.net/images/stories/apfic0101.pdf.
  11. de la Torre, L. E., Dolinskaya, I. S., and Smilowitz, K. R. (2012), Disaster relief routing: Integrating research and practice, Socio-economic Planning Sciences, 46(1), 88-97. https://doi.org/10.1016/j.seps.2011.06.001
  12. De Marchi, B. (2007), Not just a matter of knowledge: the Katrina debacle, Environmental Hazards, 7(2), 141-149. https://doi.org/10.1016/j.envhaz.2007.05.005
  13. Fenn, J., Rega, P., Stavros, M., and Buderer, N. F. (1999), Assessment of US helicopter emergency medical services' planning and preparedness for disaster response, Air Medical Journal, 18(1), 12-15. https://doi.org/10.1016/S1067-991X(99)90003-2
  14. Fiedrich, F., Gehbauer, F., and Rickers, U. (2000), Optimized resource allocation for emergency response after earthquake disasters, Safety Science, 35(1), 41-57. https://doi.org/10.1016/S0925-7535(00)00021-7
  15. General Assembly (2012) As General Assembly holds thematic debate, Secretary General urges governments to integrate disaster risk reduction into development agendas, improving prevention, response among the top priorities, says Assembly President, cited 2013 Nov 1, Available from: http://www.un.org/News/Press/docs/2012/ga11225.doc.htm.
  16. Hashemi, M. and Alesheikh, A. A. (2011), A GIS-based earthquake damage assessment and settlement methodology, Soil Dynamics and Earthquake Engineering, 31(11), 1607-1617. https://doi.org/10.1016/j.soildyn.2011.07.003
  17. Hochrainer, S. and Mechler, R. (2011), Natural disaster risk in Asian megacities: a case for risk pooling? Cities, 28(1), 53-61. https://doi.org/10.1016/j.cities.2010.09.001
  18. IFRC, International Federation of Red Cross and Red Crescent Societies (2011), Australia: floods, cited 2013 Nov 1, Available from: http://www.ifrc.org/docs/appeals/rpts11/AUfl07011101.pdf.
  19. Leaning, J. (2008), Disasters and emergency planning. In: International Encyclopedia of Public Health, Elsevier, Amsterdam, the Netherlands, 204-215.
  20. Lees, F. P. (1996), Loss Prevention in the Process Industries: Hazard Identification, Assessment, and Control, Butterworth-Heinemann, Boston, MA.
  21. Liberatore, F., Ortuno, M. T., Tirado, G., Vitoriano, B., and Scaparra, M. P. (2012), A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics, Computers and Operations Research, 42, 3-13.
  22. Lillibridge, S. R., Noji, E. K., and Burkle Jr, F. M. (1993), Disaster assessment: the emergency health evaluation of a population affected by a disaster, Annals of Emergency Medicine, 22(11), 1715-1720. https://doi.org/10.1016/S0196-0644(05)81311-3
  23. Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., and Flanigan, M. (2011), A logistics model for emergency supply of critical items in the aftermath of a disaster, Socio-Economic Planning Sciences, 45(4), 132-145. https://doi.org/10.1016/j.seps.2011.04.003
  24. Liu, Q., Ruan, X., and Shi, P. (2011), Selection of emergency shelter sites for seismic disasters in mountainous regions: lessons from the 2008 Wenchuan Ms 8.0 Earthquake, China, Journal of Asian Earth Sciences, 40(4), 926-934. https://doi.org/10.1016/j.jseaes.2010.07.014
  25. Loayza, N. V., Olaberria, E., Rigolini, J., and Christiaensen, L. (2012), Natural disasters and growth: going beyond the averages, World Development, 40(7), 1317-1336. https://doi.org/10.1016/j.worlddev.2012.03.002
  26. Magnone, E. (2012), An analysis for estimating the short-term effects of Japan's triple disaster on progress in materials science, Journal of Informetrics, 6(2), 289-297. https://doi.org/10.1016/j.joi.2012.01.003
  27. Morris, S. S. and Wodon, Q. (2003), The allocation of natural disaster relief funds: Hurricane Mitch in Honduras, World Development, 31(7), 1279-1289. https://doi.org/10.1016/S0305-750X(03)00072-X
  28. Nivolianitou, Z. and Synodinou, B. (2011), Towards emergency management of natural disasters and critical accidents: the Greek experience, Journal of Environmental Management, 92(10), 2657-2665. https://doi.org/10.1016/j.jenvman.2011.06.003
  29. Owens, P. J., Forgione Jr, A., and Briggs, S. (2005), Challenges of international disaster relief: use of a deployable rapid assembly shelter and surgical hospital, Disaster Management and Response, 3(1), 11-16. https://doi.org/10.1016/j.dmr.2004.10.004
  30. Pomeroy, R. S., Ratner, B. D., Hall, S. J., Pimoljinda, J., and Vivekanandan, V. (2006), Coping with disaster: rehabilitating coastal livelihoods and communities, Marine Policy, 30(6), 786-793. https://doi.org/10.1016/j.marpol.2006.02.003
  31. Sheu, J. B. (2010), Dynamic relief-demand management for emergency logistics operations under large-scale disasters, Transportation Research Part E: Logistics and Transportation Review, 46(1), 1-17. https://doi.org/10.1016/j.tre.2009.07.005
  32. Rodriguez, J. T., Vitoriano, B., and Montero, J. (2012), A general methodology for data-based rule building and its application to natural disaster management, Computers and Operations Research, 39 (4), 863-873. https://doi.org/10.1016/j.cor.2009.11.014
  33. United Nations, Department of Economic and Social Affairs (2008), World Economic and Social Survey 2008: Overcoming Economic Insecurity, United Nations, New York, NY.
  34. van der Velden, P. G., van Loon, P., Benight, C. C., and Eckhardt, T. (2012), Mental health problems among search and rescue workers deployed in the Haiti earthquake 2010: a pre-post comparison, Psychiatry research, 198(1), 100-105. https://doi.org/10.1016/j.psychres.2012.02.017
  35. Watt, J. (1977), The role of the services in accident and disaster, Injury, 8(4), 250-259. https://doi.org/10.1016/0020-1383(77)90097-3
  36. Wei, Y. M., Fan, Y., Lu, C., and Tsai, H. T. (2004), The assessment of vulnerability to natural disasters in China by using the DEA method, Environmental Impact Assessment Review, 24(4), 427-439. https://doi.org/10.1016/j.eiar.2003.12.003

피인용 문헌

  1. Urban Resources Selection and Allocation for Emergency Shelters: In a Multi-Hazard Environment vol.15, pp.6, 2018, https://doi.org/10.3390/ijerph15061261