Print Email Facebook Twitter Indicators of spatial passenger delay propagation and their relation to topological indicators Title Indicators of spatial passenger delay propagation and their relation to topological indicators: A case study of the Washington DC metro network Author Hijner, Anne Mijntje (TU Delft Civil Engineering and Geosciences; TU Delft Transport and Planning; TU Delft Technology, Policy and Management; TU Delft Mechanical, Maritime and Materials Engineering) Contributor Cats, Oded (mentor) Hoogendoorn, Serge (graduation committee) Maknoon, Yousef (graduation committee) Degree granting institution Delft University of Technology Programme Transport, Infrastructure and Logistics Date 2019-09-27 Abstract In order for public transportation to remain an attractive travel option, its reliability must be improved. To enable this, extensive knowledge on the passenger delay phenomenon is necessary. This study explores the possibility of using empirical data of passenger delay to determine the relationships between stations through a Bayesian Network approach. This approach is able to uncover any dependencies, regardless of known or unknown causes. The results from the Bayesian Network can be used to calculate a set of newly defined informativity indicators. These indicators give information on a station’s capacity of providing information on the delay state of the rest of the network. Among the possible applications of these indicators are: providing accurate information to passengers and the operator on delays, and aiding in determining the most effective areas for delay mitigation measures. To increase the usefulness of these indicators, they are compared to centrality indicators, so that even for networks with little available data, the informativity indicators can still be approximated. It was found that the centrality and informativity indicators correlate to some extent, meaning the informativity indicators could be very meaningful and relevant in further gaining knowledge on and improving public transport reliability. Subject Public TransportReliabilityBayesian NetworkCorrelationsInformativity Indicators To reference this document use: http://resolver.tudelft.nl/uuid:c8bbc57f-cd47-4bf1-9d9f-96c97804c24d Part of collection Student theses Document type master thesis Rights © 2019 Anne Mijntje Hijner Files PDF Thesis_Passenger_Delay_An ... Hijner.pdf 10.22 MB Close viewer /islandora/object/uuid:c8bbc57f-cd47-4bf1-9d9f-96c97804c24d/datastream/OBJ/view