A stochastic programming model for emergency supply planning considering transportation network mitigation and traffic congestion

• Published in: Socio-economic planning sciences Vol. 79; p. 101119
• Main Authors: Wang, Qingyi, Nie, Xiaofeng
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2022; Elsevier Science Ltd
• Subjects: Case studies; Disaster relief; Disasters; Efficiency; Emergency preparedness; Emergency supply planning; Flexibility; Generalized Benders decomposition; Hurricanes; Mitigation; Natural disasters; Networks; Optimization; Planning; Positioning; Pre-positioning; Stochastic models; Traffic; Traffic congestion; Transportation; Transportation network mitigation; Transportation planning; Pre-positioning; Transportation network mitigation; Emergency supply planning; Generalized Benders decomposition; Traffic congestion

How to conduct effective and efficient emergency supply planning is a challenging task. In this paper, we tackle a general emergency supply planning problem. The problem not only integrates the decisions of transportation network mitigation and emergency supply pre-positioning before disasters, but...