Development of decision support tool for optimizing urban emergency rescue facility locations to improve humanitarian logistics management

Ai, 2016, A dynamic decision support system based on geographical information and mobile social networks: a model for tsunami risk mitigation in Padang, Indonesia, Saf. Sci., 90, 62, 10.1016/j.ssci.2015.09.022 Ames, 2008, MapWindow GIS, 633 Ames, 2012, HydroDesktop: web services-based software for hydrologic data discovery, download, visualization, and analysis, Environ. Model. Softw., 37, 146, 10.1016/j.envsoft.2012.03.013 Boonmee, 2017, Facility location optimization model for emergency humanitarian logistics, Int. J. Disaster Risk Reduct., 24, 485, 10.1016/j.ijdrr.2017.01.017 Caunhye, 2012, Optimization models in emergency logistics: a literature review, Socio-Econ. Plan. Sci., 46, 4, 10.1016/j.seps.2011.04.004 Caunhye, 2015, A location-allocation model for casualty response planning during catastrophic radiological incidents, Socio-Econ. Plan. Sci., 50, 32, 10.1016/j.seps.2015.02.001 Caunhye, 2016, A location-routing model for prepositioning and distributing emergency supplies, Transport. Res. Part E: Logist. Transport. Rev., 90, 161, 10.1016/j.tre.2015.10.011 Coello Coello, 2005, Recent trends in evolutionary multiobjective optimization, 7 Deb, 2002, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evolut. Comput., 6, 182, 10.1109/4235.996017 FEMA, 2008. IS-26 Guide to Points of Distribution <http://training.fema.gov/EMIWeb/IS/IS26.asp>. Gao, 2017, Constructing gazetteers from volunteered big geo-data based on hadoop, Comput. Environ. Urban Syst., 61, 172, 10.1016/j.compenvurbsys.2014.02.004 Georgiadou, 2007, Modeling emergency evacuation for major hazard industrial sites, Reliab. Eng. Syst. Safety, 92, 1388, 10.1016/j.ress.2006.09.009 Horner, 2010, Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies, Disasters, 34, 821, 10.1111/j.1467-7717.2010.01171.x Huang, 2010, Facility location for large-scale emergencies, Ann. Oper. Res., 181, 271, 10.1007/s10479-010-0736-8 Jia, 2007, A modeling framework for facility location of medical services for large-scale emergencies, IIE Trans., 39, 41, 10.1080/07408170500539113 Jia, 2007, Solution approaches for facility location of medical supplies for large-scale emergencies, Comput. Ind. Eng., 52, 257, 10.1016/j.cie.2006.12.007 Lee, Y.M., Ghosh, S., Ettl, M., 2009. Simulating distribution of emergency relief supplies for disaster response operations. In: Proceedings of the Winter Simulation Conference, pp. 2657–2668. Maliszewski, 2010, A spatial modeling framework for siting critical supply infrastructures∗, Profess. Geogr., 62, 426, 10.1080/00330121003788408 Maliszewski, 2012, A comparison of multi-objective spatial dispersion models for managing critical assets in urban areas, Comput. Environ. Urban Syst., 36, 331, 10.1016/j.compenvurbsys.2011.12.006 Pan, 2015 Proposal of the 13th Five-Year Program on National Economic and Social Development of the People's Republic of China. The 18th Central Committee of the Communist Party of China, the Fifth Plenary Session. November 3, 2015, Beijing, China. Rawls, 2010, Pre-positioning of emergency supplies for disaster response, Transp. Res. B-Meth., 44, 521, 10.1016/j.trb.2009.08.003 Rennemo, 2014, A three-stage stochastic facility routing model for disaster response planning, Transport. Res. Part E: Logist. Transport. Rev., 62, 116, 10.1016/j.tre.2013.12.006 Santos, 2016, Design and implementation of a Witness Unit for opportunistic routing in tsunami alert scenarios, Saf. Sci., 90, 75, 10.1016/j.ssci.2015.09.014 Xiang, 2011, Meeting critical challenges and striving for urban sustainability in China, Landsc. Urban Plan., 100, 418, 10.1016/j.landurbplan.2011.02.018 Xiao, 2008, A unified conceptual framework for geographical optimization using evolutionary algorithms, Ann. Assoc. Am. Geogr., 98, 795, 10.1080/00045600802232458 Xiao, 2002, Using evolutionary algorithms to generate alternatives for multiobjective site-search problems, Environ. Plan. A, 34, 639, 10.1068/a34109 Xiao, 2007, Interactive evolutionary approaches to multiobjective spatial decision making: a synthetic review, Comput. Environ. Urban Syst., 31, 232, 10.1016/j.compenvurbsys.2006.08.001 Zhao, 2015, Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety, Nat. Haz., 75, 163, 10.1007/s11069-014-1313-2 Zhao, 2016, Regional risk assessment for urban major hazards based on GIS geoprocessing to improve public safety, Saf. Sci., 87, 18, 10.1016/j.ssci.2016.03.016 Zhao, 2017, Optimizing temporary rescue facility locations for large-scale urban environmental emergencies to improve public safety, J. Environ. Inf., 29, 63