Purpose: Resource allocation is essential to infrastructure management. The purpose of this study is to develop a methodological framework for resource allocation that takes interdependencies among infrastructure systems into consideration to minimize the overall impact of infrastructure network disruptions due to extreme events. Design/methodology/approach: Taking advantage of agent-based modeling techniques, the proposed methodology estimates the interdependent effects of a given infrastructure failure which are then used to optimize resource allocation such that the network-level resilience is maximized. Findings: The findings of the study show that allocating resources with the proposed methodology, where optimal infrastructure reinforcement interventions are implemented, can improve the resilience of infrastructure networks with respect to both direct and interdependent risks of extreme events. These findings are also verified by the results of two case studies. Practical implications: As the two case studies have shown, the proposed methodological framework can be 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-based optimization techniques, this study fulfills a critical gap in infrastructure asset management by incorporating infrastructure interdependence and resilience concepts into the resource allocation process.@en

Extreme weather events may disrupt port and coastal freight operations, resulting in direct and indirect economic losses to ports, supporting infrastructure, and reliant industry systems. Therefore, understanding the existing resilience capacity of the Texas port system to extreme weather events is necessary. To accomplish this, the weather hazards present along the Texas Gulf Coast are quantified. Stakeholder workshops, surveys, and interviews inform our understanding of the current status of resilience practice in Texas ports. Frameworks for assessing the criticality, vulnerability, exposure, risk, and resilience of the Texas port system are developed. The economic impacts of port disruptions from hurricanes are quantified using input-output tables. A tool, PortRESECO, is developed to be used by port stakeholders to assess the resilience of a port facility and view the results of the economic analysis. Finally, recommendations are made for implementation to increase the resilience of coastal freight operations in Texas.@en