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Public transport crowding valuation in a post-pandemic era

Menno Yap (), Howard Wong and Oded Cats
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Menno Yap: Delft University of Technology
Howard Wong: Transport for London
Oded Cats: Delft University of Technology

Transportation, 2025, vol. 52, issue 1, No 11, 287-306

Abstract: Abstract It is important to understand how public transport passengers value on-board crowding since the outbreak of the COVID-19 pandemic. The main contribution of this study is to derive the crowding valuation of public transport passengers in a post-pandemic era entirely based on observed, actual passenger route choices. We derive passengers’ crowding valuation for the London metro network based on a revealed preference discrete choice model using maximum likelihood estimation. We find that after the passenger load on-board the metro reaches the seat capacity, the in-vehicle time valuation increases by 0.42 for each increase in the average number of standing passengers per square metre upon boarding. When comparing this result to a variety of crowding valuation studies conducted before the pandemic in London and elsewhere, we can conclude that public transport passengers value crowding more negatively since the pandemic. Furthermore, we found a ratio between out-of-vehicle time and in-vehicle time of 1.94 pre-pandemic and of 1.92 post-pandemic, based on which we conclude that the relative waiting/walking time valuation did not significantly change since the COVID-19 pandemic. Our study results contribute to a better understanding on how on-board crowding in urban public transport is perceived in a European context since the outbreak of the COVID-19 pandemic.

Keywords: COVID-19; Crowding; Public transport; Revealed preference; Smart card data (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11116-023-10420-1

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