The Role of Perceived AI Level in the Intention to Use MaaS-Based Sustainable Mobility Applications

11th International Scientific Conference Technics, Informatics and Education – TIE 2026, (pp. 255-260)

АУТОР(И) / AUTHOR(S): Jure Furman , Irena Lovrenčič Držanič , Laura Horvat  and Ines Kožuh 

 

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DOI: https://doi.org/10.46793/TIE26.255F

САЖЕТАК /ABSTRACT:

Sustainable urban mobility represents a key challenge of modern society. Low public transport usage among the working population, driven by car ownership, time inefficiency, and poor service quality, highlights the need for smarter mobility solutions. Mobility as a Service (MaaS) addresses these challenges by integrating transport modes into a unified digital platform, with artificial intelligence (AI) playing a central role. This study examines how the working population in Slovenia perceives different levels of AI integration in sustainable mobility applications and whether these perceptions are associated MaaS adoption. AI levels range from basic functions, such as real-time notifications, to full integration, where applications autonomously create personalized multimodal routes. Trust in AI systems is considered a key mediating variable. A quantitative approach was employed using an online survey among employed individuals aged 18 and above who use personal vehicles. Results show that higher perceived AI levels significantly predict intention to use carpooling and willingness to abandon private vehicle use, while trust showed a marginal but nonsignificant direct effect. No significant demographic differences were found in AI perception. The findings suggest that mid-level AI integration focused on real-time information and personalization may be more effective than full automation in promoting sustainable mobility adoption.

КЉУЧНЕ РЕЧИ / KEYWORDS: 

artificial intelligence; sustainable mobility; Mobility as a Service; user trust; behavioral intention

 ПРОЈЕКАТ / ACKNOWLEDGEMENT:

This work was supported by the project ADCCAM2ZERO (Adopting CCAM 2ZERO through ADRION Programmed Partnerships) under the Interreg IPA ADRION programme, contract number IPA-ADRION00215. The work was also supported by the Slovenian Research and Innovation Agency through the Research Programme Internet Research (Grant No. P5-0399). The authors thank all respondents who took part in the survey.

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