Print Email Facebook Twitter Quantification and control of disruption propagation in multi-level public transport networks Title Quantification and control of disruption propagation in multi-level public transport networks Author Yap, M.D. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) Törnquist Krasemann, Johanna (Blekinge Institute of Technology, Karlskrona) van Oort, N. (TU Delft Transport and Planning) Hoogendoorn, S.P. (TU Delft Transport and Planning) Department Transport and Planning Date 2022 Abstract Due to the multi-level nature of public transport networks, disruption impacts may spill-over beyond the primary effects occurring at the disrupted network level. During a public transport disruption, it is therefore important to quantify and control the disruption impacts for the total public transport network, instead of delimiting the analysis of their impacts to the public transport network level where this particular disruption occurs. We propose a modelling framework to quantify disruption impact propagation from the train network to the urban tram or bus network. This framework combines an optimisation-based train rescheduling model and a simulation-based dynamic public transport assignment model in an iterative procedure. The iterative process allows devising train schedules that take into account their impact on passenger flow re-distribution and related delays. Our study results in a framework which can improve public transport contingency plans on a strategic and tactical level in response to short- to medium-lasting public transport disruptions, by incorporating how the passenger impact of a train network disruption propagates to the urban network level. Furthermore, this framework allows for a more complete quantification of disruption costs, including their spilled-over impacts, retrospectively. We illustrate the successful implementation of our framework to a multi-level case study network in the Netherlands. Subject Dynamic assignmentOptimisationPublic transportTrain reschedulingVulnerability analysis To reference this document use: http://resolver.tudelft.nl/uuid:590cd23e-aebc-4d5e-86ec-03e7959a52a9 DOI https://doi.org/10.1016/j.ijtst.2021.02.002 ISSN 2046-0430 Source International Journal of Transportation Science and Technology, 11 (1), 83-106 Part of collection Institutional Repository Document type journal article Rights © 2022 M.D. Yap, O. Cats, Johanna Törnquist Krasemann, N. van Oort, S.P. Hoogendoorn Files PDF 1_s2.0_S2046043021000071_main.pdf 2.47 MB Close viewer /islandora/object/uuid:590cd23e-aebc-4d5e-86ec-03e7959a52a9/datastream/OBJ/view