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    Item type:Publication, Access status: without files ,
    Behavioural intention to use fully autonomous vehicles: Instrumental, symbolic, and affective motives
    (2022-04)
    Benleulmi, Ahmed Ziad
    ;
    Ramdani, Boumediene
    Autonomous Vehicles (AVs) have the potential to transform the transportation industry with significant economic, social and environmental benefits. However, the mass deployment of AVs depends on public desire to use them. This study aims to examine the effect of instrumental, symbolic, and affective motives on the behavioural intention to use fully AVs. Based on a survey of 240 U.S. residents, a structural equation modeling analysis was performed. Our results suggest the behavioural intention to use fully AVs depends on fulfilling instrumental (i.e., performance expectancy and hedonic motivation), symbolic (i.e., personal innovativeness and social influence) and affective motives (i.e., trust and performance risk). These results have implication for designing policy interventions to increase the deployment of AVs.
    Publicationtype: Journal Article
      73
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    Item type:Publication, Access status: with files ,
    Investigating the factors influencing the acceptance of fully autonomous cars
    (epubli, 2017-10)
    Benleulmi, Ahmed Ziad
    ;
    Blecker, Thorsten
    Once thought of as a product of science fiction, self-driving cars are discussed today as an unavoidable means towards improving transportation systems. In fact, many car manufacturers have announced their plans to deploy highly autonomous cars as soon as 2020; according to the Society of Automotive Engineers (SAE) these vehicles are capable of reacting “even if the human driver does not respond appropriately to the request to intervene (SAE level 4)”. There is however a long way to go before fully autonomous cars (SAE level 5) - where pedals and steering wheels are forgone and limitations to driving during severe weather or in unmapped areas are surmounted - are produced. Herein, the overall aim is to study the drivers and inhibitors of autonomous cars’ acceptance across cultures with a special focus on the different risks that might deter consumers from using highly and/or fully autonomous cars. After an extensive reviewing of previous works, a research model based on UTAUT2 was developed and accordingly an online survey was conducted in the US and in Germany; 313 valid answers were collected and analyzed. The findings presented here have serious implications both on the academic field as well as the industry, especially in regards to the roles that risks, culture and gender play in the acceptance of fully autonomous cars.
    Publicationtype: Conference Paper
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