Haghani A, Oh S C. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations[J]. Transportation Research Part A, 1996, 30(3): 231-250.
[3]
Lam W H K, Shao Hu, Sumalee A. Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply [J]. Transportation Research Part B, 2008, 42(10): 890-910.
Barbarosoglu G, Arda Y. A two-stage stochastic programming framework for transportation planning in disaster response [J]. Journal of the Operational Research Society, 2004, 55(1): 43-53.
[7]
Yi Wei, zdamar L. A dynamic logistics coordination model for evacuation and support in disaster response activities[J]. European Journal of Operational Research, 2007, 179(3): 1177-1193.
[8]
Tzeng G H, Cheng H J, Huang T D. Multi-objective optimal planning for designing relief delivery systems[J]. Transportation Research Part E, 2007, 43(6): 673-686.
[9]
Sheu J B. Dynamic relief-demand management for emergency logistics operations under large-scale disasters[J]. Transportation Research Part E, 2010, 46(1): 1-17.
[10]
Economou A, Fakinos D. A continuous-time Markov chain under the influence of a regulating point process and applications in stochastic models with catastrophes[J]. European Journal of Operational Research, 2003, 149(3): 625-640.
Taskin S, Lodree E J. Inventory decisions for emergency supplies based on hurricane count predictions[J]. International Journal of Production Economics, 2010, 126(1): 66-75.
Nagurney A, Dong June, Zhang Ding. A supply chain network equilibrium model [J]. Transportation Research Part E, 2002, 38(5): 281-303.
[16]
Nagurney A. On the relationship between supply chain and transportation network equilibria: a supernetwork equivalence with computations[J]. Transportation Research Part E, 2006, 42(4): 293-316.
