Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport

Journal Article (2023)
Author(s)

Arkadiusz Drabicki (Cracow University of Technology, TU Delft - Transport and Planning)

Oded Cats (TU Delft - Transport and Planning)

R.M. Kucharski (TU Delft - Transport and Planning, Jagiellonian University)

Achille Fonzone (Edinburgh Napier University)

Andrzej Szarata (Cracow University of Technology)

Transport and Planning
Copyright
© 2023 Arkadiusz Drabicki , O. Cats, R.M. Kucharski, Achille Fonzone, Andrzej Szarata
DOI related publication
https://doi.org/10.1016/j.rtbm.2023.100963
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Arkadiusz Drabicki , O. Cats, R.M. Kucharski, Achille Fonzone, Andrzej Szarata
Transport and Planning
Volume number
47
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Abstract

Overcrowding is a major phenomenon affecting travel experience in urban public transport, whose negative impacts can be potentially mitigated with real-time crowding information (RTCI) on public transport vehicle departures. In this study, we investigate the willingness to wait (WTW) with instantaneous RTCI to avoid the in-vehicle (over)crowding the passenger faces, focusing specifically on urban crowding context (i.e. bus and tram systems). We conduct a stated-preference survey in Krakow (Poland), where we examine the choice probability between boarding now a more crowded vehicle vs. waiting at the stop for a less-crowded PT departure, and estimate a series of discrete choice models. Results show that 50–70% of respondents consider skipping a first departure which is excessively overcrowded and 10–30% would skip a vehicle with moderate standing crowding on-board. Acceptable waiting times typically range between 2 and 13 min, depending on crowding level and propensity to arrive on-time, but may even exceed 20 min in individual cases. These findings indicate that RTCI can induce a substantial WTW, affecting travel behaviour. We discuss its implications for mitigating service disruptions and demand management policies, including prospective support for public transport recovery in the aftermath of covid-19 crisis.