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Research Article

A computational approach for evaluating post-disaster transportation network resilience

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Pages 235-251 | Received 28 Jul 2018, Accepted 08 Apr 2019, Published online: 23 May 2019
 

ABSTRACT

The comprehension of transportation network resilience is of prime interest to transportation agencies. Thus, this study seeks to complement the ongoing discussion by (i) extending a traffic assignment model in a hypothetical framework by considering multilevel bridge damages and recovery sequences; (ii) formulating recovery time-sensitive network resilience indexes that account for bridge closures; and (iii) undertaking sensitivity analyses to verify the adequacy of the formulations in explaining transportation network resilience. This work improves the original resilience measure which has the tendency to yield the same values for different recovery curves. Analytical results highlight expected functional losses under various bridge closure events. Resilience indexes echo the importance of comparing predicted to scheduled restoration times because this method ensures that systems that recover earlier than scheduled are identified as more resilient and vice versa. Sensitivity analyses reinforce the previous assertion, stressing the need for rapid recovery instead of simply mitigating functional losses

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Richard Twumasi-Boakye

Richard Twumasi-Boakye is a Research Scientist with interests in transportation network resilience, community resilience, travel demand modeling, user cost estimation, infrastructure management and geospatial analytics. His research contributions, mainly in the area of resilience, include efforts to understand the resilience of regional or large-scale transportation networks. He leverages demand modeling concepts and quantitative methods to evaluate system-level impacts of hazards, and to help comprehend the system merits of including new mobility solutions.

John O. Sobanjo

John O. Sobanjo is a Professor of Civil Engineering at the Florida A&M University (FAMU)-Florida State University (FSU) College of Engineering. His areas of research include infrastructure engineering and management, sustainability, resilience, and transportation engineering. He is a Fellow of the American Society of Civil Engineers (ASCE) and has published numerous technical reports and peer-reviewed journal articles on various infrastructure and transportation-related topics. He is an Associate Editor for the ASCE Journal of Bridge Engineering and an Editorial Board member of the ASCE Journal of Risk and Uncertainty.

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