A Simulation-Based Approach to the Characterisation of Urban Traffic Network Vulnerability

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  • This research employs modeling methodologies to obtain a better understanding of urban traffic network vulnerability. A methodological framework is presented, forming the basis for investigating critical dimensions affecting vulnerability. The focus is on the Central Business District (CBD) network type. The three dimensions; Centrality, Flowability, and Mobility are analyzed through the employment of traffic models. Mesoscopic and microscopic simulations are performed to obtain required data, then used for the construction of the Combined Vulnerability Index (CVI), representing the network friability. Next, the unique links making up the network are closed sequentially, and simulations are carried out for each scenario in order to obtain the link network influence for each of the links. The (% Effect) value is then obtained from the difference in traffic flow across the network, and multiplied by the CVI to obtain the adjusted vulnerability index (ACVI). The methodology is then applied to the Ottawa network.

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  • Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2016


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