01697943

Component

This study proposes the problem of scheduling the restoration for interdependent infrastructure systems after disaster impact, seeking to minimize the resilience loss throughout the horizon of a restoration plan. To solve the scheduling problem, the authors develop a mixed integer linear programming model, which applies the network flow method to describe the dynamics of commodity delivery, restoration units and functional states of components in the interdependent infrastructure systems, which contains roadway, electric power and telecommunication systems. To assess resilience loss in terms of system performance, they define the performance of each system based on the demand for the relevant service, and the objective function is defined to minimize the unmet demand throughout the recovery phase. This model also reflects the several types of interdependencies in the constraints. Primarily, the restoration interdependency is factored by using the network flow method to determine the connectivity of from restoration depots to the disrupted components of different systems in the roadway network, which can directly affect the feasibility of a restoration schedule. To exemplify the capability of the model, this study conducts numerical experiments using test networks of Tucheng District, New Taipei City, Taiwan and conceives three cases of different scales and patterns of disruption. In the numerical experiments, the cyber interdependency between the telecommunication and road networks is also discussed. The experiment results demonstrate that the proposed model can optimize restoration schedule based on the assessment of system resilience from a holistic perspective.

This paper was sponsored by TRB committee ABR20 Standing Committee on the Logistics of Disaster Response and Business Continuity.

19-03331

English

19p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Disaster resilience; Infrastructure; Linear programming; Mixed integer programming; Network analysis (Planning); Scheduling; Service disruption

Interdependencies; Network flows

New Taipei City (Taiwan)

Freight Transportation; Highways; Planning and Forecasting; Security and Emergencies

Transportation Research Board Annual Meeting 2019 Paper #19-03331

TRIS, TRB, ATRI

Dec 7 2018 9:42AM