Implementation of Spatiotemporal Model for Infrastructure Reconstruction Strategy under Large-Scale Disaster

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Implementation of Spatiotemporal Model for Infrastructure Reconstruction Strategy under Large-Scale Disaster

Lee, Jong Sung / Kim, Tschangho John

The reconstruction strategy chosen to repair damaged transportation network infrastructure after an unscheduled event is important in returning the disrupted economy to the status preceding the event. Furthermore, the strategy determines how fast the national economy will recover. Previous research has shown how damage to the transportation network has significant direct and indirect impacts on the national economy. The optimal sequence or priority for reconstruction of damaged links must be developed to restore the economy quickly. Common issues from the previous research on finding the optimal reconstruction strategy are (a) lack of consideration of the national economic impact, (b) lack of integration of the traffic flow and commodity flow models, and (c) lack of consideration of the spatiotemporal characteristics of the economy. To overcome these issues, this paper suggests a spatiotemporal model for finding the optimal reconstruction strategy after an unscheduled event based on an earlier model. The paper discusses the framework for finding the optimal reconstruction strategy by using the spatiotemporal analysis model for a posteriori unscheduled event (STAM-2).