A resource allocation framework for predisaster resilience management of interdependent infrastructure networks

摘要

Purpose - Resource allocation is essential to infrastructure management. The purpose of this study is todevelop a methodological framework for resource allocation that takes interdependencies amonginfrastructure systems into consideration to minimize the overall impact of infrastructure networkdisruptions due to extreme events.Design/methodology/approach - Taking advantage of agent-based modeling techniques, the proposedmethodology estimates the interdependent effects of a given infrastructure failure which are then used tooptimize resource allocation such that the network-level resilience is maximized.Findings - The findings of the study show that allocating resources with the proposed methodology, whereoptimal infrastructure reinforcement interventions are implemented, can improve the resilience ofinfrastructure networks with respect to both direct and interdependent risks of extreme events. Thesefindings are also verified by the results of two case studies.Practical implications - As the two case studies have shown, the proposed methodological framework canbe applied to the resource allocation process in asset management practices.Social implications - The proposed methodology improves the resilience of the infrastructure network,which can alleviate the social and economic impact of extreme events on communities.Originality/value - Capitalizing on the combination of agent-based modeling and simulation-basedoptimization techniques, this study fulfills a critical gap in infrastructure asset management by incorporatinginfrastructure interdependence and resilience concepts into the resource allocation process.