Print Email Facebook Twitter Modelling the effects of real-time crowding information in urban public transport systems Title Modelling the effects of real-time crowding information in urban public transport systems Author Drabicki, Arkadiusz (TU Delft Transport and Planning; Cracow University of Technology) Kucharski, R.M. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) Szarata, Andrzej (Cracow University of Technology) Department Transport and Planning Date 2020 Abstract Public transport (PT) overcrowding is a notorious problem in urban transport networks. Its negative effects upon travel experience can be potentially addressed by disseminating real-time crowding information (RTCI) to passengers. However, impacts of RTCI provision in urban PT networks remain largely unknown. This study aims to contribute by developing an extended dynamic PT simulation model that enables a thorough analysis of instantaneous RTCI consequences. In the model, RTCI is generated and disseminated across the network, and then utilised in passengers’ sequential en-route choices. A case-study demonstration of the RTCI algorithm on urban PT network model of Kraków (Poland) shows that instantaneous RTCI has the potential to improve passengers’ travel experience, although it is also susceptible to inaccuracy. RTCI provision can yield total travel utility improvements of 3% in typical PM peak-hour, with reduced impacts of the worst overcrowding effects (in terms of denied-boarding and in-vehicle travel disutility in overcrowded conditions) of 30%. Highlights: Real-time crowding information (RTCI) is an increasingly feasible solution in public transport. We introduce a novel framework for modelling the network effects of instantaneous RTCI. Instantaneous RTCI can result in improved travel experience but also substantial inaccuracy risk. Reduced impacts of the worst overcrowding experience amount to up to 30%. Subject overcrowdingpath choicepublic transportReal-time crowding informationRTCI To reference this document use: http://resolver.tudelft.nl/uuid:d8de8b74-55b0-44f6-82be-c69a881d4114 DOI https://doi.org/10.1080/23249935.2020.1809547 ISSN 2324-9935 Source Transportmetrica A: Transport Science, 17 (2021) (4), 675-713 Part of collection Institutional Repository Document type journal article Rights © 2020 Arkadiusz Drabicki , R.M. Kucharski, O. Cats, Andrzej Szarata Files PDF Modelling_the_effects_of_ ... ystems.pdf 4.95 MB Close viewer /islandora/object/uuid:d8de8b74-55b0-44f6-82be-c69a881d4114/datastream/OBJ/view