Estimating Extreme Event Resilience of Rail–Truck Intermodal Freight Networks: Methods, Models, and Case Study Application
Publication: Journal of Infrastructure Systems
Volume 28, Issue 2
Abstract
This study introduces a framework for quantifying the time-evolving functionality and, consequently, the resilience of rail-truck intermodal freight transportation networks subjected to regional disruptions from events like natural hazards. The proposed framework leverages publicly available datasets and probabilistic models for estimating the damage and functionality of the components of the intermodal network. New restoration models linking physical damage to functionality have been proposed in this study, improving upon previous literature in this area. Furthermore, the framework for quantifying the resilience of intermodal networks is posed to consider not only the functionality of constituent highway and railway networks and their components but also that of intermodal terminals in its formulation. The framework enables the estimation of network throughput and functionality metrics at various instances during the recovery timeline and can be extended to assess the broader economic impacts of freight disruption on the community.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors gratefully acknowledge the support of this research by the Center for Risk-Based Community Resilience Planning of the National Institute of Standards and Technology (NIST) under financial assistance awards 70NANB15H044 and 70NANB20H008. The Center for Risk-Based Community Resilience Planning is an NIST-funded Center of Excellence; the Center is funded through a cooperative agreement between the US National Institute of Science and Technology and Colorado State University. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.
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Published In
Journal of Infrastructure Systems
Volume 28 • Issue 2 • June 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Apr 21, 2021
Accepted: Jan 3, 2022
Published online: Mar 30, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 30, 2022
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