Improving resource allocation for disaster operations management in a multi-hazard context

ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management

Volumn , Issue , 2014, Pages 85-89

  Chacko, Josey ^a   Rees, Loren P ^a   Zobel, Christopher W ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Decision support systems; Disaster operations management; Long term planning; Multi hazard events

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DISASTERS; INFORMATION SYSTEMS; RESOURCE ALLOCATION;

COMMUNITY SUSTAINABILITY; DISASTER RESPONSE; LITERATURE REVIEWS; LONG TERM PLANNING; MULTI-HAZARD EVENTS; OPERATIONS MANAGEMENT; RESOURCE ALLOCATION MODEL; WORKING PAPERS;

HAZARDS;

EID: 84905853301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Abkowitz, M. D. and Chatterjee, S. (2012) Regional Disaster Risk: Assessment and Mitigation Concepts in an All-Hazards Context. Journal of Homeland Security and Emergency Management, 9, 1.
2. Arora, N., Raghu, T. S., &Vinze, A. (2010). Resource allocation for demand surge mitigation during disaster response. Decision Support Systems, 50(1), 304-315. doi: DOI 10.1016/j.dss.2010.08.032
3. "Benzene from Iloilo oil spill reaches alarming level". ABS-CBN News. November 28, 2013. Retrieved January 8, 2013.
4. Canto-Perello, J., Curiel-Esparza, J. and Calvo, V. (2013) Criticality and threat analysis on utility tunnels for planning security policies of utilities in urban underground space. Expert Systems with Applications, 40, 11, 4707-4714.
5. Cox, L. A. (2009) Improving Risk-Based Decision Making for Terrorism Applications. Risk Analysis, 29, 3, 336-341.
6. Dacanay, B.M. (2013). Philippines needs $8.59 billion to rebuild after Typhoon Haiyan. gulfnews.com. December 18, 2013. Retrieved 1/9/2014 from http://gulfnews.com/news/world/philippines/philippinesneeds-8-59-billion-to- rebuild-After-typhoon-haiyan-1.1268444.
7. Dillon, R. L., Liebe, R. M. and Bestafka, T. (2009) Risk-Based Decision Making for Terrorism Applications. Risk Analysis, 29, 3, 321-335.
8. Dodo, A., Davidson, R. A., Xu, N. X. and Nozick, L. K. (2007) Application of regional earthquake mitigation optimization. Computers &Operations Research, 34, 8, 2478-2494.
9. FoxNews.com. (2013, 11/10/2013). Philippine Red Cross says typhoon relief efforts being hampered by looters. Retrieved 1/8/2014, 2014, from http://www.foxnews.com/world/2013/11/10/strongest-typhoonyear-hits-philippines/
10. Gladstone, R. (2013) Ravaged by Typhoon, Philippines Faces Threat of Serious Diseases. NY Times. November 14, 2013.
11. Holguin-Veras, J., Jaller, M., Van Wassenhove, L. N., Perez, N., &Wachtendorf, T. (2012). On the unique features of post-disaster humanitarian logistics. Journal of Operations Management, 30(7-8), 494-506. doi: DOI 10.1016/j.jom.2012.08.003
12. Lambert, J. H. and Patterson, C. E. (2002) Prioritization of schedule dependencies in hurricane recovery of transportation agency. Journal of Infrastructure Systems, 8, 3, 103-111.
13. Li, H., Apostolakis, G. E., Gifun, J., VanSchalkwyk, W., Leite, S. and Barber, D. (2009) Ranking the Risks from Multiple Hazards in a Small Community. Risk Analysis, 29, 3, 438-456.
14. Marzocchi, W., Garcia-Aristizabal, A., Gasparini, P., Mastellone, M. L. and Di Ruocco, A. (2012) Basic principles of multi-risk assessment: A case study in Italy. Natural hazards, 62, 2, 551-573.
15. Mendonca, D. (2007). Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack. Decision Support Systems, 43(3), 952-967. doi: DOI 10.1016/j.dss.2005. 05.025
16. Minciardi, R., Sacile, R. and Trasforini, E. (2009) Resource allocation in integrated preoperational and operational management of natural hazards. Risk Analysis, 29, 1, 62-75.
17. Orabi, W., Senouci, A. B., El-Rayes, K. and Al-Derham, H. (2010) Optimizing resource utilization during the recovery of civil infrastructure systems. Journal of Management in Engineering, 26, 4, 237-246.
18. Papamichail, K. N., &French, S. (2005). Design and evaluation of an intelligent decision support system for nuclear emergencies. Decision Support Systems, 41(1), 84-111. doi: DOI 10.1016/j.dss.2004.04.014
19. Pollet, J. and Cummins, J. (2009) All hazards approach for assessing readiness of critical infrastructure. In: Technologies for Homeland Security, 2009. HST'09. IEEE Conference on, pp. 366-372. IEEE.
20. Reiter, S. (1963) Choosing an investment program among interdependent projects. The Review of Economic Studies, 30, 1, 32-36.
21. Santhanam, R. and Kyparisis, G. J. (1996) A decision model for interdependent information system project selection. European Journal of Operational Research, 89, 2, 380-399.
22. Selva, J. (2013) Long-term multi-risk assessment: statistical treatment of interaction among risks. Natural Hazards, 67, 2, 701-722.
23. Van de Walle, B. and Turoff, M. (2008) Decision support for emergency situations. Information Systems and E-Business Management, 6, 3, 295-316.
24. Waugh, W. L. (2005) Terrorism and the all-hazards model. Journal of Emergency Management, 2, 1, 8-10.
25. Weingartner, H. M. (1966) Capital budgeting of interrelated projects: survey and synthesis. Management Science, 12, 7, 485-516.
26. Wex, F., Schryen, G., Feuerriegel, S. and Neumann, D. (2013) Emergency response in natural disaster management: Allocation and scheduling of rescue units. European Journal of Operational Research.