Rossa, K. orcid.org/0000-0001-6424-0175, Smith, A.S.J. orcid.org/0000-0003-3668-5593, Batley, R.P. et al. (1 more author) (2024) The valuation of delays in passenger rail using journey satisfaction data. Transportation Research Part D: Transport and Environment, 129. 104088. ISSN 1361-9209
Abstract
Stated preference surveys are typically used to derive lateness multipliers, defined as a trade-off between a minute of lateness and scheduled journey time. This study aims to use a novel in the context of lateness valuation dataset (i.e. responses from a survey on journey satisfaction) to apply it to the established methodologies. Travel satisfaction data from National Rail Passenger Survey in Great Britain is used to estimate the impacts of scheduled journey time and delay on passenger satisfaction. An ordered logit model with origin–destination pair fixed effects is estimated and lateness multipliers are subsequently derived. The estimated values are slightly larger than previously suggested, ranging from 4 to 9 for arrival delay (i.e. a minute of arrival delay is valued as an equivalent of 4–9 min of scheduled journey time) and 2 to 6 for departure delay. This study offers a degree of novelty in terms of the type of data used in the estimation process and highlights the potential of satisfaction surveys in economic valuation in transport.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Travel satisfaction; Lateness valuation; Lateness multiplier; Transport economics; Rail economics; Rail delays |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Mar 2024 10:30 |
Last Modified: | 13 Mar 2024 10:30 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trd.2024.104088 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210184 |