Print Email Facebook Twitter Quantifying the hierarchy of public transport networks Title Quantifying the hierarchy of public transport networks Author Buijtenweg, Abel (Student TU Delft) Verma, T. (TU Delft Policy Analysis) Cats, O. (TU Delft Transport and Planning) Donners, Barth (Royal HaskoningDHV) Wang, H. (TU Delft Multimedia Computing) Date 2021 Abstract Public transport networks constitute critical infrastructure in urban systems. Public transport networks are characterised by their hierarchical structure, yet methods to quantify their underlying hierarchy are lacking. We propose a metric for quantifying the hierarchy in public transport networks which incorporates topological as well as passenger flow information. Our proposed metric consists of three components which jointly define the relative hierarchical position of nodes across the network while the distribution of hierarchy defines the hierarchy of the network itself. We apply the metric to the case studies of Amsterdam and Rotterdam to demonstrate its usefulness in comparing different network states both within and across networks. Using this metric, we identify different patterns in network structures for network states and different spatial distributions of hierarchy between networks. Furthermore, by dividing the network into functional levels, we identify a multilayer hierarchical structure that describes the functionality of the network. The potential application of this metric relates to the assessment of network development scenarios, evaluating bottlenecks and analysing the network vulnerability. Furthermore, the metric is potentially suitable for assessing different network structures such as aviation or maritime networks. Subject DegreeHierarchicalNetworksTransportation To reference this document use: http://resolver.tudelft.nl/uuid:b177e48a-dd11-486f-9509-a46e478e505a DOI https://doi.org/10.1109/MT-ITS49943.2021.9529271 Publisher IEEE Embargo date 2022-03-07 ISBN 978-1-7281-8996-3 Source 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS): Proceedings Event IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2021-06-16 → 2021-06-17, Online at Heraklion, Greece Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2021 Abel Buijtenweg, T. Verma, O. Cats, Barth Donners, H. Wang Files PDF Quantifying_the_hierarchy ... tworks.pdf 5.4 MB Close viewer /islandora/object/uuid:b177e48a-dd11-486f-9509-a46e478e505a/datastream/OBJ/view