Wang, Y., Hancock, T.O. orcid.org/0000-0002-8922-0901, Solernou, A. et al. (3 more authors) (2026) Nudging urban travellers towards greener travel modes: A virtual reality experiment. Transportation Research Part A: Policy and Practice, 203. 104754. ISSN: 0965-8564
Abstract
Cities worldwide face increasing pressure to reduce carbon emissions from transportation systems, yet implementing new transport policies often involves high costs and uncertainties. This study introduces an immersive virtual reality (VR) tool as a flexible, low-cost approach for evaluating travel demand management (TDM) strategies before real-world deployment. In a repeated discrete choice experiment (1,260 observations), participants chose between a taxi (high carbon) and a bus (low carbon) across multiple scenarios, each featuring variations in cost, travel time, and carbon attribute levels. Three nudge interventions were designed to highlight environmental impacts at three different decision points. The findings demonstrate that strategically timed nudges offer policymakers a scalable tool to promote sustainable urban mobility by integrating salient environmental feedback into decision-making contexts. These results underscore VR’s potential to simulate realistic policy interventions and generate inputs to quantify the impact of different types of interventions alongside travel attributes.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Sustainable travel choice; Nudge; Virtual reality experiment; Learning process |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
| Date Deposited: | 25 Nov 2025 14:14 |
| Last Modified: | 25 Nov 2025 14:14 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.tra.2025.104754 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234753 |
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Licence: CC-BY 4.0

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