Resilience-Based Decision Support Tool for Management of Transportation Infrastructure

Abstract

AbstractThe transportation infrastructure networks are exposed to oncoming natural and man-made hazards that may inflict severe consequences to network stakeholders. Current solution is to mitigate such threats with timely maintenance measures, relying on the outputs from risk-based information-driven approaches. However, the recent failures of infrastructure assets are painful reminders that risk methodologies need to be expanded to allow for emergency and post-hazard recovery i.e., account for the resilience of transportation networks. Thus, one of the main research topics in the asset management is development of a robust, resilience-based decision support frameworks. This is also in a scope of an ongoing European HORIZON2020 project SAFEWAY. This paper elaborates on the features of the web-based Decision Support Tool (DST) prototype, one of the main outputs of the SAFEWAY project. The DST enables both fusion and visualization of data necessary for risk and resilience analysis of multi-modal terrestrial transportation networks. In the DST, threats, related asset failure scenarios and maintenance/repair measures can be predefined. For the case of medium to long-term maintenance planning, temporal risk and resilience of networks are evaluated based on the Monte Carlo simulations of an annual extreme event magnitude, predefined assets’ fragility curves and related consequences’ scenarios. The preventative maintenance measures reduce risks of failure(s), which is regarded as a benefit, ultimately increasing resilience.KeywordsInfrastructure managementDecision support toolQuantitative risk assessmentResilience evaluation