Citation: | Yanyan Wang. Multiperiod Optimal Allocation of Emergency Resources in Support of Cross-Regional Disaster Sustainable Rescue[J]. International Journal of Disaster Risk Science, 2021, 12(3): 394-409. doi: 10.1007/s13753-021-00347-5 |
Amailef, K., and J. Lu. 2013. Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services. Decision Support Systems 55(1): 79–97.
|
Ansell, C., A. Boin, and A. Keller. 2010. Managing transboundary crises: Identifying the building blocks of an effective response system. Journal of Contingencies and Crisis Management 18(4): 195–207.
|
Arora, H., T.S. Raghu, and A. Vinze. 2010. Resource allocation for demand surge mitigation during disaster response. Decision Support Systems 50(1): 304–315.
|
Arrubla, J.A.G., L. Ntaimo, and C. Stripling. 2014. Wildfire initial response planning using probabilistically constrained stochastic integer programming. International Journal of Wildland Fire 23(6): 825–838.
|
Balcik, B., and B.M. Beamon. 2008. Facility location in humanitarian relief. International Journal of Logistics Research and Applications 11(2): 101–121.
|
Barbarosoğlu, G., L. Özdamar, and A. Çevik. 2002. An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research 140(1): 118–133.
|
Berkoune, D., J. Renaud, M. Rekik, and A. Ruiz. 2012. Transportation in disaster response operations. Socio-Economic Planning Sciences 46(1): 23–32.
|
Bertsimas, D., V.F. Farias, and N. Trichakis. 2012. On the efficiency-fairness trade-off. Management Science 58(12): 2234–2250.
|
Boin, A., M. Rhinard, and M. Ekengren. 2014. Managing transboundary crises: The emergence of European union capacity. Journal of Contingencies and Crisis Management 22(3): 131–142.
|
Calixto, E., and E.L. Larouvere. 2010. The regional emergency plan requirement: Application of the best practices to the Brazilian case. Safety Science 48(8): 991–999.
|
Cao, C.J., C.D. Li, T. Qu, and Q. Yang. 2019. A bi-level programming model for relief trans-regional scheduling: Taking into consideration survivors’ perceived satisfaction and risk acceptability. Journal of Management Sciences in China 22(9): 111–126 (in Chinese).
|
Cao, J., and L. Zhu. 2014. Super-network model of urban agglomeration emergency coordination considering decision preferences. Journal of Management Sciences in China 17(11): 33–42 (in Chinese).
|
Chang, M.S., Y.L. Tseng, and J.W. Chen. 2007. A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review 43(6): 737–754.
|
China Earthquake Administration. 2012. Earthquake Emergency Rescue Plan. http://www.cea.gov.cn/publish/dizhenj/119/100136/20121130104213119243137/index.html. Accessed 16 May 2020 (in Chinese).
|
China News Network. 2008. Sichuan Wenchuan earthquake has confirmed 69,227 people killed, 17,923 missing. http://www.chinanews.com/gn/news/2008/09-25/1394600.shtml. Accessed 16 May 2020 (in Chinese).
|
Cotes, N., and V. Cantillo. 2019. Including deprivation costs in facility location models for humanitarian relief logistics. Socio-Economic Planning Sciences 65: 89–100.
|
Equi, L., G. Gallo, S. Marziale, and A. Weintraub. 1997. A combined transportation and scheduling problem. European Journal of Operational Research 97(1): 94–104.
|
Eshghi, K., and R.C. Larson. 2008. Disasters: Lessons from the past 105 years. Disaster Prevention and Management 17(1): 62–82.
|
Green, L.V., and P.J. Kolesar. 2004. Improving emergency responsiveness with management science. Management Science 50(8): 1001–1014.
|
Green, H.K., O. Lysaght, D.D. Saulnier, K. Blanchard, A. Humphrey, B. Fakhruddin, and V. Murray. 2019. Challenges with disaster mortality data and measuring progress towards the implementation of the Sendai framework. International Journal of Disaster Risk Science 10(4): 449–461.
|
Groothedde, B., C. Ruijgrok, and L. Tavasszy. 2015. Towards collaborative, intermodal hub networks: A case study in the fast moving consumer goods market. Transportation Research Part E: Logistics and Transportation Review 41(6): 567–583.
|
Guo, Y., Y. Ye, Q. Yang, and K. Yang. 2019. A multi-objective INLP model of sustainable resource allocation for long-range Maritime search and rescue. Sustainability 11(3): Article 929.
|
Haghani, A., and S.-C. Oh. 1996. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transportation Research Part A: Policy and Practice 30(3): 231–250.
|
Holguín-Veras, J., N. Pérez, M. Jaller, L.N. Van Wassenhove, and F. Aros-Vera. 2013. On the appropriate objective function for post-disaster humanitarian logistics models. Journal of Operations Management 31(5): 262–280.
|
Hoyos, M.C., R.S. Morales, and R. Akhavan-Tabatabaei. 2015. OR models with stochastic components in disaster operations management: A literature survey. Computers & Industrial Engineering 82: 183–197.
|
Hu, C.L., X. Liu, and Y.K. Hua. 2016. A bi-objective robust model for emergency resource allocation under uncertainty. International Journal of Production Research 54(24): 7421–7438.
|
Hu, X.B., M. Wang, T. Ye, and P. Shi. 2016. A new method for resource allocation optimization in disaster reduction and risk governance. International Journal of Disaster Risk Science 7(2): 138–150.
|
Huang, K., and R. Rafiei. 2019. Equitable last mile distribution in emergency response. Computers & Industrial Engineering 127(1): 887–900.
|
Kutanoglu, E., and M. Mahajan. 2009. An inventory sharing and allocation method for a multi-location service parts logistics network with time-based service levels. European Journal of Operational Research 194(3): 728–742.
|
Li, A.N., X.Q. Deng, and Q.H. Zhao. 2017. Unconventional emergency coordinated organization based on fractal perspective. Systems Engineering—Theory & Practice 37(4): 937–948 (in Chinese).
|
Li, J., Q.R. Li, C. Liu, S. Ullah Khan, and N. Ghani. 2014. Community-based collaborative information system for emergency management. Computers & Operations Research 42: 116–124.
|
Liu, Y., N. Cui, and J.H. Zhang. 2019. Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service. Transportation Research Part E: Logistics and Transportation Review 128: 1–16.
|
Liu, D.H., N. Zhao, and H.W. Zou. 2018. Multi-period reputation effect model of governmental emergency strategy in environmental pollution incidents. Management Review 30(9): 239–245 (in Chinese).
|
Luss, H. 1999. On equitable resource allocation problems: A lexicographic minimax approach. Operations Research 47(3): 361–378.
|
Lv, T., Y. Nie, C.L. Wang, and J. Gao. 2018. Cross-regional emergency scheduling planning for petroleum based on the supernetwork model. Petroleum Science 15: 666–679.
|
Minas, J., J. Hearne, and D. Martell. 2015. An integrated optimization model for fuel management and fire suppression preparedness planning. Annals of Operations Research 232(1): 201–215.
|
Najafi, M., K. Eshghi, and W. Dullaert. 2013. A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review 49(1): 217–249.
|
Ogie, R.I., and B. Pradhan. 2019. Natural hazards and social vulnerability of place: The strength-based approach applied to Wollongong, Australia. International Journal of Disaster Risk Science 10(3): 404–420.
|
Olsson, E.K. 2015. Transboundary crisis networks: The challenge of coordination in the face of global threats. Risk Management 17(2): 91–108.
|
Özdamar, L., and M.A. Ertem. 2015. Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research 244(1): 55–65.
|
Özdamar, L., E. Ekinci, and B. Küçükyazici. 2004. Emergency logistics planning in natural disasters. Annals of Operations Research 129(1–4): 217–245.
|
Qin, J., Y. Ye, B. Cheng, X. Zhao, and L. Ni. 2017. The emergency vehicle routing problem with uncertain demand under sustainability environments. Sustainability 9(2): Article 288.
|
Qiu, Y., X.L. Shi, and G.W. Hua. 2019. Regional cooperative strategies for emergency response to accidents and disasters under longitudinal administrative constraint—Case study in Beijing-Tianjin-Hebei region. Management Review 31(8): 240–249 (in Chinese).
|
Rose, A., and T. Kustra. 2013. Economic considerations in designing emergency management institutions and policies for transboundary disasters. Public Management Review 15(3): 446–462.
|
Shao, M., Y. Song, C. Teng, and Z. Zhang. 2018. Algorithms and simulation of multi-level and multi-coverage on cross-reginal emergency facilities. Wireless Personal Communications: An International Journal 102(4): 3663–3676.
|
Sheu, J.-B., and C. Pan. 2014. A method for designing centralized emergency supply network to respond to large-scale natural disasters. Transportation Research Part B: Methodological 67: 284–305.
|
Tang, W.Q., W.M. Tang, and M. Zhang. 2012. Scheduling of emergency commodities: Theory and method. Beijing: Science Press (in Chinese).
|
Toro-Díaz, H., M.E. Mayorga, S. Chanta, and L.A. McLay. 2013. Joint location and dispatching decisions for emergency medical services. Computers & Industrial Engineering 64(4): 917–928.
|
Tüfeki, S. 1995. An integrated emergency management decision support system for hurricane emergencies. Safety Science 20(1): 39–48.
|
Tzeng, G.H., H.J. Cheng, and T.D. Huang. 2007. Mufti-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review 43(6): 673–686.
|
Wang, X., and S. Lv. 2016. Research on across-regional public emergencies cooperation system based on knowledge collaboration. Science and Technology Management Research 8: 216–221 (in Chinese).
|
Wang, Y., and B. Sun. 2018. A multiobjective allocation model for emergency resources that balance efficiency and fairness. Mathematical Problems in Engineering. https://doi.org/10.1155/2018/7943498.
|
Wang, Y., and B. Sun. 2020. Multi-period optimization model of multi-type emergency materials allocation based on fuzzy information. Chinese Journal of Management Science 28(3): 40–51 (in Chinese).
|
Wang, Y., V.M. Bier, and B. Sun. 2019. Measuring and achieving equity in multiperiod emergency material allocation. Risk Analysis 39(11): 2408–2426.
|
Wex, F., G. Schryen, S. Feuerriegel, and D. Neumann. 2014. Emergency response in natural disaster management: Allocation and scheduling of rescue units. European Journal of Operational Research 235(3): 697–708.
|
Xu, J., and J. Li. 2005. Theory and method of multi-objective decision making. Beijing: Tsinghua University Press (in Chinese).
|
Xu, S.H., C.F. Han, L.P. Meng, and Q.D. Wu. 2017. Research on the adoption of an emergency management organization system based on the NK model. Systems Engineering—Theory & Practice 37(6): 1619–1629 (in Chinese).
|
Yao, C., and X. Xiao. 2006. Method for the problem of multi-objective decision making based on fuzzy math theory. Journal of Wuhan University Technology Transportation Science & Engineering 30(4): 700–703 (in Chinese).
|
Yi, W., and L. Özdamar. 2007. A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research 179(3): 1177–1193.
|
Zhan, S.L., N. Liu, and Y. Ye. 2014. Coordinating efficiency and equity in disaster relief logistics via information updates. International Journal of Systems Science 45(8): 1607–1621.
|
Zhang, F., Y. Gao, and Y.L. Li. 2016. Research on cross-regional emergency scheduling and allocating strategies. International Journal of Grid and Distributed Computing 9(5): 89–98.
|
Zhao, M., and X. Liu. 2017. Reprint of: Regional risk assessment for urban major hazards based on GIS geoprocessing to improve public safety. Safety Science 97: 112–119.
|
Zhou, S., and A. Erdogan. 2019. A spatial optimization model for resource allocation for wildfire suppression and resident evacuation. Computers & Industrial Engineering 138(1): 1–16.
|
Zhou, Y., J. Liu, Y. Zhang, and X. Gan. 2017. A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems. Transportation Research Part E: Logistics and Transportation Review 99: 77–95.
|
Zhu, L., D. Guo, J. Gu, and Y.Q. Du. 2017. System dynamics analysis of cross-regional coordinative emergency materials allocation under severe epidemics—A case study on H1N1 joint response in the Yangtze River Delta. Systems Engineering 35(6): 105–112 (in Chinese).
|