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

Abstract

PurposeResource 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/approachTaking 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.FindingsThe 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 implicationsAs the two case studies have shown, the proposed methodological framework can be applied to the resource allocation process in asset management practices.Social implicationsThe proposed methodology improves the resilience of the infrastructure network, which can alleviate the social and economic impact of extreme events on communities.Originality/valueCapitalizing 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.

Exploring Modal Choices for Sustainable Urban Mobility: Insights from the Porto Metropolitan Area in Portugal

“…This approach enables researchers and policymakers to make evidence-based decisions regarding infrastructure improvements, resource allocation, and service quality enhancements based on specific characteristics. The objective is to attract more individuals to embrace sustainable transportation options, including public transport, walking, and cycling [45][46][47][48][49].…”

“…Secondly, the development and expansion of AM infrastructure can offer benefits that reach far beyond the limits of the AMP. The creation of secure and interconnected networks comprising pedestrian and cycling pathways holds the potential to develop urban mobility [15,30,47,49]. By fostering the implementation of bike-sharing programs and enhancing traffic calming measures, cities worldwide can draw inspiration from these findings to create healthier, more sustainable urban environments [45].…”

Disaster Management in Smart Cities

“…To consider the different classes of infrastructure dependencies, researchers in study [50] proposed a general mathematical formulation to account for these different classes by modelling the post-disaster recovery infrastructure while accounting for its dependencies. To model the infrastructure recovery, study [51] proposed the categorization of the infrastructure interdependencies into three levels based on the modelling resolutionsystem-to-system, system-to-facility, and facility-to-facility-which would improve the flexibility of the model and increase the accuracy of the modelling results. To minimize the impact of an extreme event on an infrastructure network, researchers in study [52] proposed a methodological framework for resource allocation that considers interdependencies among infrastructure systems.…”