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Research Article | Open Access

Young urban dwellers’ acceptance of autonomous vehicle-induced landscape changes: An eye-tracking study

Miklós Lukovics( )Barbara Nagy
Faculty of Economics and Business Administration, University of Szeged, Szeged H-6726, Hungary
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Abstract

Using an autonomous vehicle fleet instead of owning a car might significantly reduce the number of vehicles in cities, which may have important consequences related to land use and the urban landscape. More information is available about these possibilities; at the same time, much less is known about whether urban residents would accept them. Moreover, the majority of research addressing the preferences of urban residents presents findings on the entire population rather than on its specific sections; thus, scarce information is available about the urban landscape preferences of young people, who are highly exposed to autonomous vehicle-driven future mobility. This study aims to determine how much young city dwellers accept potential specific urban landscape changes triggered by autonomous vehicles. The research applied real-time eye-tracking tests and supplementary questionnaires to a sample of 102 participants. The tests were carried out under laboratory conditions, during which the subjects looked at before/after urban landscape pairs of images that depicted the potential urban landscape and land use changes triggered by the mass adoption of autonomous vehicles. The examination of the total fixation duration, the average fixation duration and the average number of fixations indicates that the “after” images were collectively more appealing to the subjects. An analysis of the reasons behind the eye-tracking results revealed that safety and human-centered design were identified as the most significant factors across various image pairs.

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Journal of Intelligent and Connected Vehicles
Article number: 9210062

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Cite this article:
Lukovics M, Nagy B. Young urban dwellers’ acceptance of autonomous vehicle-induced landscape changes: An eye-tracking study. Journal of Intelligent and Connected Vehicles, 2025, 8(3): 9210062. https://doi.org/10.26599/JICV.2025.9210062

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Received: 28 March 2025
Revised: 22 April 2025
Accepted: 13 May 2025
Published: 30 September 2025
© The Author(s) 2025.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0 http://creativecommons.org/licenses/by/4.0/).