Dissertation/Thesis Abstract

Measuring Resilience in Multimodal Transportation Systems
by Khumpraphan, Smithipatt, Master's, Stevens Institute of Technology, 2020, 143; 28025653
Abstract (Summary)

Resilience in multimodal transportation systems can be impaired, resulting in temporary inefficiency. Research has shown that disruptive events, either natural or man-made, cause shocks in the system’s functionality. This study aims to determine how resilience in multimodal systems can be measured to increase systems’ resiliency. Building upon existing work on transportation resilience, this study discusses: (a) how to measure resilience? (b) what is the functional relationship between transportation modes? And (c) how can the systems’ resiliency be improved? In this context, resilience is defined as the ability of a system to maintain its functionality during disruptions. A thorough literature review was conducted on infrastructure system resilience to develop a resilience assessment model. The physical transportation network was mapped into graphs, and network connectivity was measured. Analysis of the results indicated that transportation resilience can be measured by assessing degradation of network metrics under disruptions.

Indexing (document details)
Advisor: Hayeri, Yeganeh M.
Commitee: Hole, Eirik, Bucar, Raif C. B.
School: Stevens Institute of Technology
Department: Schaefer School of Engineering & Science
School Location: United States -- New Jersey
Source: MAI 82/4(E), Masters Abstracts International
Subjects: Civil engineering, Transportation
Keywords: Graph theory, Multimodal, Resilience, Transport network
Publication Number: 28025653
ISBN: 9798678189998
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