Adıvar, B. and Mert, A. (2010). International disaster relief planning with fuzzy credibility, Fuzzy Optim. Decis. Making 9, 4, pp. 413–433.
Aftanas, J.M. (2007). Optimizing the prioritization of natural disaster recovery projects, Master’s thesis, Air Force Institute of Technology, Ohio.
Akkihal, A. R. (2006). Inventory pre-positioning for humanitarian operations, Master’s thesis, Massachusetts Institute of Technology, Massachusetts.
Altay, N. and Green, W. G. (2006). OR/MS research in disaster operations management, Eur. J. Oper. Res.
175, 1, pp. 475–493.
Ang, C. C. (2006). Optimized recovery of damaged electrical power grids, Master’s thesis, Naval Postgraduate School, Monterey.
Angelis, V. D., Mecoli, M., Nikoi, C. and Storchi, G. (2007). Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola, Comput. Oper. Res.
34, 6, pp. 1601–1615. November 27, 2012 23:14 Atlantis Press Book - 9.75in x 6.5in book_Vitoriano-Montero 40 Decision Aid Models for Disaster Management and Emergencies.
Apte, A. (2009). Humanitarian logistics: a new field of research and action, Found. Trends Technol. Inf. Oper. Manag. 3, 1, pp. 1–100.
Balasubramanian, S., Mohan, T., Pineiro, R. C., Jain, R., Routray, R. R., Shah, G., Verma, A. and Voruganti, K. (2011). Methods, systems, and computer program products for disaster recovery planning, United States Patent 7945537.
Balcik, B. and Beamon, B. M. (2008). Facility location in humanitarian relief, Int. J. Logist. Res. Appl.
11, 2, pp. 101–121.
Beamon, B. M. and Kotleba, S. A. (2006a). Inventory management support systems for emergency humanitarian relief operations in South Sudan, Int. J. Logist.Manag.
17, 2, pp. 187–212.
Beamon, B. M. and Kotleba, S. A. (2006b). Inventory modelling for complex emergencies in humanitarian relief operations, Int. J. Logist. Res. Appl. 9, 1, pp. 1–18.
Ben-Tal, A., Chung, B. D., Mandala, S. R. and Yao, T. (2011). Robust optimization for emergency logistics planning: risk mitigation in humanitarian relief supply chains, Transp. Res. Part B 45, 8, pp. 1177–1189.
Berkoune, D., Renaud, J., Rekik, M. and Ruiz, A. (2012). Transportation in disaster response operations, Socio-Econ. Plan. Sci.
46, 1, pp. 23–32.
Besiou, M., Pedraza Martinez, A. and Van Wassenhove, L. (2012). The effect of earmarked funding on fleet management for relief and development, Tech. Rep. 2012/10/TOM/ISIC, INSEAD.
Blecken, A., Danne, C., Dangelmaier,W., Rottkemper, B. and Hellingrath, B. (2010). Optimal stock relocation under uncertainty in post-disaster humanitarian operations, in Proceedings of the 43rd Hawaii International Conference on System Sciences (Koloa, Hawaii), pp. 1–10.
Bretschneider, S. and Kimms, A. (2012). Pattern-based evacuation planning for urban areas, Eur. J. Oper. Res.
216, 1, pp. 57–69.
Buzna, L., Peters, K., Ammoser, H., Kühnert, C. and Helbing, D. (2007). Efficient response to cascading disaster spreading, Phys. Rev. Sect. E
75, 5-2, pp. 56107–56108.
Campbell, A. M., Vandenbussche, D. and Hermann, W. (2008). Routing for relief efforts, Transp. Sci.
42, 2, pp. 127–145.
Caunhye, A., Nie, X. and Pokharel, S. (2012). Optimization models in emergency logistics: A literature review, Socio-Econ. Plan. Sci.
46, pp. 4–13.
Chang, S. E. (2010). Urban disaster recovery: a measurement framework and its application to the 1995 Kobe earthquake, Disasters
34, 2, pp. 303–327.
Chao, W., Yuanbin, L. and Xuliang, D. (2011). The research on human–computer interaction of remote disaster-recovery system, in M. Zhou and H. Tan (eds.), Advances in Computer Science and Education Applications. Part II, Communications in Computer and InformationScience, Vol. 202 (Springer, Berlin Heidelberg), pp. 460–466.
Charles, A. (2010). Improving the Design and Management of Agile Supply Chains: Feedback and Application in the Context of Humanitarian Aid, Ph.D. thesis, Université de Toulouse, Toulouse, France.
Chen, A., Zhao, J. and Chen, N. (2009). A recoverability assessment model in emergency management, Tech. Rep. RTO-MP-IST-086-09, NATO Research and Technology Organisation.
Chevin Fleet Solutions (2001). FleetWave, http://www.chevinfleet.com/us/fleet_software_fleetwave_web_based_enterprise_fleet_management_solution.asp, last access: May 7th, 2012.
Chib, A. and Komathi, A. L. E. (2009). Extending the technology-community-management model to disaster recovery: Assessing vulnerability in rural Asia, in Proceedings of the 3
International Conference on Information and Communication Technologies and Development (Doha, Qatar), pp. 328–336. November 27, 2012 23:14 Atlantis Press Book - 9.75in x 6.5in book_Vitoriano-Montero Bibliography 41.
Chiu, Y. C. and Zheng, H. (2007). Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: model formulation and solution, Transp. Res. Part E 43, 6, pp. 710–736.
Cimellaro, G. P., Reinhorn, A. M. and Bruneau, M. (2010). Framework for analytical quantification of disaster resilience, Eng. Struct.
32, 11, pp. 3639–3649.
Coffrin, C., Van Hentenryck, P. and Bent, R. (2011b). Strategic planning for power system restoration, in Proceedings of the International Conference on Vulnerability and Risk Analysis and Management (Hyattsville, Maryland), pp. 1–8.
Coffrin, C., Van Hentenryck, P. and Bent, R. (2011c). Strategic stockpiling of power system supplies for disaster recovery, in Power and Energy Society General Meeting, 2011 IEEE (San Diego, California), pp. 1–8.
Crowther, K. G. and Haimes, Y. Y. (2005). Application of the inoperability input–output model (IIM) for systemic risk assessment and management of interdependent infrastructures, Syst. Eng.
8, 4, pp. 323–341.
de Mel, S., D., M. and Woodruff, C. (2008). Mental health recovery and economic recovery after the tsunami: high-frequency longitudinal evidence from Sri Lankan small business owners, Soc. Sci. Med. 66, 3, pp. 582–595.
Doerner, K. F., Gutjahr, W. J. and Nolz, P. C. (2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas, OR Spectr.
31, 3, pp. 651–678.
Eiselt, H. A. and Marianov, V. (2012). Mobile phone tower location for survival after natural disasters, Eur. J. Oper. Res.
216, 3, pp. 563–572.
El-Anwar, O., El-Rayes, K. and Elnashai, A. S. (2010). Maximizing the sustainability of integrated housing recovery efforts, J. Constr. Eng. Manag.
136, 7, pp. 794–802.
Fiedrich, F. and Burghardt, P. (2007). Agent-based systems for disaster management, Commun. ACM - Emerg. Response Inf. Syst.: Emerg. Trends Technol.
50, 3, pp. 41–42.
Ghesquiere, F. and Mahul, O. (2007). Sovereign natural disaster insurance for developing countries: A paradigm shift in catastrophe risk financing, World Bank Policy Research 4345, World Bank.
Gibbons, D. E. and Samaddar, S. (2009). The maximal expected coverage relocation problem for emergency vehicles, Decis. Sci.
40, 2, pp. 351–371.
Hale, T. and Moberg, C. R. (2005). Improving supply chain disaster preparedness: a decision process for secure site location, Int. J. Phys. Distrib. Logist. Manag.
35, 3/4, pp. 195–207.
HFOSS Institute (2006). HFOSS, http://dev.hfoss.org/, last access: February 6th, 2012.
HFOSS Institute (2008). Posit, http://posit.hfoss.org/, last access: February 6th, 2012.
HFOSS Institute (2010). Collabbit, http://collabbit.org/about, last access: February 6th, 2012.
Huang, M., Smilowitz, K. and Balcik, B. (2012). Models for relief routing: equity, efficiency and efficacy, Transp. Res. Part E
48, 1, pp. 2–18.
Jin, M. and Ek¸sioˇglu, B. (2010). Optimal routing of vehicles with communication capabilities in disasters, Comput. Manag. Sci.
7, 2, pp. 121–137.
Jotshi, A., Gong, Q. and Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion, Socio-Econ. Plan. Sci.
43, 1, pp. 1–24.
Jung, C., Johnson, M., Trick, M. and Williams, J. (2007). Mathematical models for reconstruction planning in urban areas, Tech. rep., Heinz College, Carnegie Mellon University.
Kaklauskas, A., Amaratunga, D. and Haigh, R. (2009). Knowledge model for post-disaster management, Int. J. Strateg. Prop. Manag.
13, 2, pp. 117–128.
Karlaftis,M. G., Kepaptsoglou, K. L. and Lambropoulos, S. (2007). Fund allocation for transportation network recovery following natural disasters, J. Urban. Plan. Dev.
133, 1, pp. 82–89. November 27, 2012 23:14 Atlantis Press Book - 9.75in x 6.5in book_Vitoriano-Montero 42 Decision Aid Models for Disaster Management and Emergencies.
Kongsomsaksaku, S., Yang, C. and Chen, A. (2005). Shelter location-allocation model for flood evacuation planning, J. East. Asia. Soc. Transp. Stud.
6, pp. 4237–4252.
Kung, H. Y., Chen, C. H. and Ku, H. H. (2012). Designing intelligent disaster prediction models and systems for debris-flow disasters in Taiwan, Expert Syst. Appl.
39, 5, pp. 5838–5856.
Lanka Software Foundation (2004a). SAHANA deployments, http://wiki.sahanafoundation.org/doku.php/deployments:start, last access: February 6th, 2012.
Lanka Software Foundation (2004b). SAHANA products, http://sahanafoundation.org/products/, last access: February 6th, 2012.
Lanka Software Foundation (2004c). SAHANA system, http://sahanafoundation.org/, last access: February 6th, 2012.
Lodree, E. J. and Taskin, S. (2008). An insurance risk management framework for disaster relief and supply chain disruption inventory planning, J. Oper. Res. Soc.
59, 5, pp. 674–684.
Losada, C., Scaparra, M. P. and O’Hanley, J. R. (2012). Optimizing system resilience: A facility protection model with recovery time, Eur. J. Oper. Res.
217, 3, pp. 519 – 530.
Luckey, T. S. (2009). Key stages of disaster recovery planning for time-critical business information technology systems, Master’s thesis, University of Oregon, Oregon.
Matisziw, T. C.,Murray, A. T. and Grubesic, T. H. (2010). Strategic network restoration, Netw. Spat. Econ.
10, pp. 345–361.
Maya, P. and Sörensen, K. (2011). A GRASP metaheuristic to improve accessibility after a disaster, Disaster Relief
33, 3, pp. 525–542.
Médecins Sans Frontières (2006). LogistiX, ftp://support.geneva.msf.org/permanent/LOG/SupplyChainManagement, last access: February 6th, 2012.
Mehlhorn, S., Racer, M., Ivey, S. and Lipinski, M. (2011). A single-objective recovery phase model, Int. J. Inf. Technol. Proj. Manag.
2, 3, pp. 53–71.
Mehlhorn, S. A. (2009). Method for Prioritizing Highway Routes for Reconstruction After a Natural Disaster, Ph.D. thesis, University of Memphis.
Miles, S. B. and Chang, S. E. (2006). Modeling community recovery from earthquakes, Earthq. Spectr.
22, pp. 439–458.
Nagurney, A., Yu, M. and Qiang, Q. (2011). Supply chain network design for critical needs with outsourcing, Pap. Reg. Sci.
90, 1, pp. 123–142.
Natarajarathinam, M., Capar, I. and Narayanan, A. (2009). Managing supply chains in times of crisis: a review of literature and insights, Int. J. Phys. Distrib. Logist. Manag.
39, 7, pp. 535–573.
Nelson, S. C., Harris III, A. F. and Kravets, R. (2007). Event-driven, role-based mobility in disaster recovery networks, in Proceedings of the Second ACM Workshop on Challenged Networks (Montreal, Canada), pp. 27–34.
Nolz, P., Doerner, K., Gutjahr, W. and Hartl, R. (2010a). A bi-objective metaheuristic for disaster relief operation planning, in C. Coello Coello, C. Dhaenens and L. Jourdan (eds.), Advances in Multi-Objective Nature Inspired Computing, Studies in Computational Intelligence, Vol. 272 (Springer, Berlin Heidelberg), pp. 167–187.
Nolz, P. C., Doerner, K. F. and Hartl, R. F. (2010b). Water distribution in disaster relief, Int. J. Phys. Distrib. Logist. Manag.
40, 8/9, pp. 693–708.
Onyango, M. A. (2008). Humanitarian responses to complex emergencies, in Q. K. Heggenhougen (ed.), International Encyclopedia of Public Health (Academic Press, San Diego).
Orabi, W., El-Rayes, K., Senouci, A. B. and Al-Derham, H. (2009). Optimizing postdisaster reconstruction planning for damaged transportation networks, J. Constr. Eng. Manag.
135, 10, pp. 1039–1048. November 27, 2012 23:14 Atlantis Press Book - 9.75in x 6.5in book_Vitoriano-Montero Bibliography 43.
Orabi, W., Senouci, A. B., El-Rayes, K. and Al-Derham, H. (2010). Optimizing resource utilization during the recovery of civil infrastructure systems, J. Manag. Eng.
26, 4, pp. 237–246.
Ortuño, M., Tirado, G. and Vitoriano, B. (2011). A lexicographical goal programming based decision support system for logistics of Humanitarian Aid, TOP
19, pp. 464–479.
Pedraza Martinez, A. and Van Wassenhove, L. N. (2012). Vehicle replacement in the international committee of the red cross, Prod. Oper. Manag.
Permann, M. R. (2007). Genetic algorithms for agent-based infrastructure interdependency modeling and analysis, in Proceedings of the 2007 Spring Simulation Multiconference, Vol. 2 (Norfolk, Virginia), pp. 169–177.
Qin, J., Xing, Y., Wang, S., Wang, K. and Chaudhry, S. S. (2012). An inter-temporal resource emergency management model, Comput. Oper. Res.
39, 8, pp. 1909–1918.
Quarantelli, E. L. (2006). Catastrophes are different from disasters: some implications for crisis planning and managing drawn from Katrina, http://understandingkatrina.ssrc.org/Quarantelli/, last access: February 20th, 2012.
Rose, A. (2007). Economic resilience to natural and man-made disasters: multidisciplinary origins and contextual dimensions, Environ. Hazard.
7, 4, pp. 383–398.
Rottkemper, B., Fischer, K. and Blecken, A. (2012). A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations, Socio-Econ. Plan. Sci.
46, 1, pp. 98–109.
Saadatseresht, M., Mansourian, A. and Taleai, M. (2009). Evacuation planning using multiobjective evolutionary optimization approach, Eur. J. Oper. Res.
198, 1, pp. 305–314.
Saleem, K., Luis, S., Deng, Y., Chen, S.-C., Hristidis, V. and Li, T. (2008). Towards a business continuity information network for rapid disaster recovery, in Proceedings of the 2008 International Conference on Digital Government Research (Montreal, Canada), pp. 107–116.
Semsch, E., Jakob, M., Doubek, J. and Pechoucek, M. (2008). Using player models to improve robustness of HTN plans in multi-agent domains, in Proceedings of the 27th Workshop of the UK Planning and Scheduling Special Interest Group (Edinburgh, UK), pp. 1–7.
Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters, Transp. Res. Part E
43, 6, pp. 687–709.
Solano, E. (2010). Research brief: Methods for assessing vulnerability of critical infrastructure, Tech. rep., Institute for Homeland Security Solutions.
The Fritz Institute (2003). Humanitarian Logistics Software (HLS), http://www.fritzinstitute.org/prgTech-HLS.htm, last access: February 6th, 2012.
The Fritz Institute (2007). HELIOS, http://www.fritzinstitute.org/prgTech-HELIOS_Overview.htm, last access: February 6th, 2012.
The International Federation of Red Cross (2001). The Disaster Management Information System (DMIS), https://www-secure.ifrc.org/DMISII/Pages/00_Home/login.aspx, last access: February 6th, 2012.
The Pan American Health Organization (1992). The Humanitarian Supply Management System (SUMA), http://www.disaster-info.net/SUMA/english/index.htm, last access: February 6th, 2012.
The Pan American Health Organization (2005). Logistics Support System (LSS), http://www.lssweb.net/, last access: February 6th, 2012.
Tomasini, R. and van Wassenhove, L. (2009). Humanitarian Logistics (Palgrave Macmillan).
Tovia, F. (2007). An emergency logistics response system for natural disasters, Int. J. Logist.: Res. Appl.
10, 3, pp. 173–186. November 27, 2012 23:14 Atlantis Press Book - 9.75in x 6.5in book_Vitoriano-Montero 44 Decision Aid Models for Disaster Management and Emergencies.
Toyasaki, F. and Wakolbinger, T. (2012). Impacts of earmarked private donations for disaster fundraising, A. Oper. Res.
Tzeng, G. H., Cheng, H. J. and Huang, T. D. (2007). Multi-objective optimal planning for designing relief delivery systems, Transp. Res. Part E
43, 6, pp. 673–686.
Uchida, K. (2012). A model evaluating effect of disaster warning issuance conditions on “cry wolf syndrome” in the case of a landslide, Eur. J. Oper. Res.
218, 2, pp. 530–537.
Van Hentenryck, P., Bent, R. and Coffrin, C. (2010). Strategic planning for disaster recovery with stochastic last mile distribution, in H. C. Heard, I. V. Borg, N. L. Carter and C. B. Raleigh (eds.), Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Lecture Notes in Computer Science, Vol. 6140 (Springer, Berlin Heidelberg), pp. 318–333.
Van Wassenhove, L. N. (2006). Humanitarian aid logistics: supply chain management in high gear, J. Oper. Res. Soc.
57, 5, pp. 475–489.
VanWassenhove, L. N. and Pedraza, A. J. (2012). Using or to adapt supply chain management best practices to humanitarian logistics, Intl. Trans. in Op. Res.
19, 1–2, pp. 307–322.
Vitoriano, B., Ortuño, M. T. and Tirado, G. (2009). HADS, a goal programming-based humanitarian aid distribution system, J. Multi-Criteria Decis. Anal.
16, 1-2, pp. 55–64.
Vitoriano, B., Ortuño, M. T., Tirado, G. and Montero, J. (2011). A multi-criteria optimization model for humanitarian aid distribution, J. Glob. Optim.
51, 2, pp. 189–208.
Xu, N., Guikema, S. D., Davidson, R. A., Nozick, L. K., Ça˜gnan, Z. and Vaziri, K. (2007). Optimizing scheduling of post-earthquake electric power restoration tasks, Earthq. Eng. Struct. Dyn.
36, pp. 265–284.
Yi, W. and Kumar, A. (2007). Ant colony optimization for disaster relief operations, Transp. Res. Part E 43, 6, pp. 660–672.
Yi, W. and Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities, Eur. J. Oper. Res.
179, pp. 1177–1193.
Zobel, C. W. and Khansa, L. (2011). Characterizing multi-event disaster resilience, Comput. Oper. Res.