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Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?

    • European Center for Information and Communication Technologies (EICT)
    • University of Leeds
    • SNF – Centre for Applied Research

    Research output: Contribution to journalArticleScientificpeer-review

    77 Downloads (Pure)

    Abstract

    Reducing car dependency supports the creation of a more sustainable transport system. However, automated vehicles (AVs) are predicted to increase the attractiveness of car travel and decrease the use of public transport and active travel. This current study explored how travellers’ intention to use AVs and their current travel behaviour influence their expectations of how they will use public transport and active travel, once conditionally automated (SAE L3) vehicles (L3 AVs) are available. Survey data (collected during the EU H2020 L3Pilot project) from among current car users from eight European countries (n = 9118) was used. Respondents were asked about their current travel mode usage, intention to use L3 AVs, and expected changes in the use of public transport and active travel once L3 AVs are available. The respondents were divided into nine user segments based on their level of intention to use L3 AVs and multimodality. Most respondents did not foresee changes in their use of public transport (62%) or active travel (67%). A higher intention to use L3 AVs increased the probability of a traveller expecting to decrease their use of public transport and, to a lesser extent, active travel. Multimodal travellers used public transport and active travel regularly and were also more likely to see a change, either up or down, in their use of public transport and active travel. The results suggest that L3 AVs may pose a challenge to the sustainability by encouraging current users of public transport and active travel to switch to personal AVs.
    Original languageEnglish
    Article number100380
    Number of pages11
    JournalTransportation Research Interdisciplinary Perspectives
    Volume10
    Early online date8 May 2021
    DOIs
    Publication statusPublished - Jun 2021
    MoE publication typeA1 Journal article-refereed

    Funding

    The research leading to these results received funding from the European Commission Horizon 2020 program under the project L3Pilot, grant agreement number 723051.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • Automated vehicle acceptance
    • Conditionally automated vehicles
    • Mode choice
    • Multimodality
    • Travel behaviour

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