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Resilience of heavy rail networks with multiple routes and hubs
Topics: Transportation Geography
, Spatial Analysis & Modeling
, United States
Keywords: resilience, heavy rail systems, hub stress index Session Type: Virtual Paper Abstract Day: Friday Session Start / End Time: 2/25/2022 08:00 AM (Eastern Time (US & Canada)) - 2/25/2022 09:20 AM (Eastern Time (US & Canada)) Room: Virtual 71
Authors:
Hyun Kim, University of Tennessee
Jeremy Auerbach, Queen's University Belfast
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Abstract
The resilience of a transport system to failures and attacks without changing its mode of operation, is an increasingly important characteristic of networks. Even though there have been numerous measures of network robustness, they are not applicable to networks with multi-line networks, such as heavy rail systems. This research prescribes novel local and global indexes, named hub stress index, to capture the robustness of having multiple connections between the same nodes. These new indexes are designed to uncover the potential vulnerabilities of network components (i.e. hubs) to possible malfunctions which may not be well identified with traditional connectivity matrix-based methods. Results of these measures are compared with traditional network connectivity and robustness indexes for simulated networks that vary topologically and are each composed of multiple lines that overlap in connectivity. A set of representative rail systems in the United States are used as a case study to highlight their applicability for use by decision-makers and transportation planners who prioritize the development, protection, or maintenance of stations.
Resilience of heavy rail networks with multiple routes and hubs