What have we learned? A review of stated preference and choice studies on autonomous vehicles

Gkartzonikas, Christos; Gkritza, Konstantina

doi:10.1016/j.trc.2018.12.003

Cited by 385 publications

(171 citation statements)

References 25 publications

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“…In the present decade, the potential applications of UGVs commonly referred to as autonomous vehicles or self-driving cars/trucks are under discussion in commercial settings, and several researchers have highlighted that these vehicles have the potential of significantly reducing the transport and logistics-related challenges in complex urban environments. For instance, the benefits of using UGVs in urban or commercial settings include but are not limited to, increased safety, reduced congestion, better fuel consumption, reduced emissions, reduced costs of ownership, elimination of drive time restrictions and transporting disabled or older people (Azmat et al 2019b;Gkartzonikas and Gkritza 2019;Wintersberger et al 2019;Azmat et al 2018;Milakis et al 2017;Mahmassani 2016;Litman 2015;Kyriakidis et al 2015;Bierstedt et al 2014). Even though researchers have highlighted the potential use case scenarios of UGVs in a complex environment, not many researchers have talked about exploring the potential of these advanced vehicles in humanitarian settings.…”

Section: Potential Applications Of Ugvs In Hromentioning

confidence: 99%

Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain

Azmat

Kummer

2020

AJSSR

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The present decade has seen an upsurge in the research on the applications of autonomous vehicles and drones to present innovative and sustainable solutions for traditional transportation and logistical challenges. Similarly, in this study, we propose using autonomous cars and drones to resolve conventional logistics and transport challenges faced by international humanitarian organizations (IHOs) during a relief operation. We do so by identifying, shortlisting, and elaborating critical success factors or key transport and logistics challenges from the existing humanitarian literature and present a conceptual model to mitigate these challenges by integrating unmanned ground (UGVs) and aerial vehicles (UAVs) in the humanitarian supply chain. To understand how this novel idea of using UGVs and UAVs could help IHOs, we drafted three research questions, first focusing on the identification of existing challenges, second concentrating on remediation of these challenges, and the third to understand realization timeline for UGVs and UAVs. This lead to the development of a semi-structured, open-ended questionnaire to record the respondents' perspectives on the existing challenges and their potential solutions. We gathered data form, ten interviewees, with substantial experience in the humanitarian sector from six IHOs stationed in Pakistan and Austria. In light of the feedback for the second research question, we present a conceptual model of integrating UAVs and UGVs in the relief chain. The results of the study indicate that technological advancement in mobility withholds the potential to mitigate the existing challenges faced by IHOs. However, IHOs tend to be reluctant in adapting UGVs compared to UAVs. The results also indicate that the adaptation of these technologies is subject to their technical maturity, and there are no significant differences in opinions found between the IHOs from Pakistan and Austria.

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Section: Potential Applications Of Ugvs In Hromentioning

confidence: 99%

Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain

Azmat

Kummer

2020

AJSSR

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“…A second growing body of literature investigates preferences for different aspects of autonomous driving with the help of discrete choice experiments (see Gkartzonikas and Gkritza, 2019, for a comprehensive review). The studies within this body of literature consider short-and long-term decision contexts, but interdependencies between preferences for residential location and travel behaviour have not been explicitly investigated.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous driving and residential location preferences: Evidence from a stated choice survey

Krueger¹,

Rashidi²,

Dixit³

2019

Transportation Research Part C: Emerging Technologies

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This paper seeks to advance the understanding of the potential impacts of autonomous vehicles (AVs) on travel behaviour and land use by investigating stated preferences for combinations of residential locations and travel options for the commute in the context of autonomous automobile travel. Our analysis draws from a stated preference survey, which was completed by 512 commuters from the Sydney metropolitan area in Australia, and provides insights into travel time valuations and demand elasticities in a long-term decision-making context. By and large, the findings of our empirical study suggest that the impact of AVs on travel behaviour and residential location preferences may be relatively modest. We estimate that the mean value of travel time savings (VOT) for commuting by AV is 24.0 AUD/h, while the mean VOTs for commuting by conventional car and public transit are 25.3 AUD/h and 19.0 AUD/h, respectively.

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“…As pointed out by Shariff et al (2017), and further evident by the number of studies focusing on public opinion (see Gkartzonikas and Gkritza, 2019, for a review) the introduction of self-driving cars requires acceptance from the public. Empirical research investigating public perception and beliefs can be useful for highlighting areas problematic for the acceptance of selfdriving cars into public traffic.…”

Section: Introductionmentioning

confidence: 99%

Moral Judgements on the Actions of Self-driving Cars and Human Drivers in Dilemma Situations from Different Perspectives

Kallioinen¹,

Pershina²,

Zeiser³

et al. 2019

Preprint

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Self-driving cars have the potential to greatly improve public safety. However, their introduction onto public roads must overcome both ethical and technical challenges. To further understand the ethical issues of introducing self-driving cars, we conducted two moral judgement studies investigating potential differences in the moral norms applied to human drivers and self-driving cars. In the experiments, participants made judgements on a series of dilemma situations involving human drivers or self-driving cars. We manipulated which perspective situations were presented from in order to ascertain the effect of perspective on moral judgements. Two main findings were apparent from the results of the experiments. First, human drivers and self-driving cars were largely judged similarly. However, there was a stronger tendency to prefer self-driving cars to act in ways to minimize harm, compared to human drivers. Second, there was an indication that perspective influences judgements in some situations. Specifically, when considering situations from the perspective of a pedestrian, people preferred actions that would endanger car occupants instead of themselves. However, they did not show such a self-preservation tendency when the alternative was to endanger other pedestrians to save themselves. This effect was more prevalent for judgements on human drivers than self-driving cars. Overall, the results extend and agree with previous research, again contradicting existing ethical guidelines for self-driving car decision making and highlighting the difficulties with adapting public opinion to decision making algorithms.

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What have we learned? A review of stated preference and choice studies on autonomous vehicles

Cited by 385 publications

References 25 publications

Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain

Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain

Autonomous driving and residential location preferences: Evidence from a stated choice survey

Moral Judgements on the Actions of Self-driving Cars and Human Drivers in Dilemma Situations from Different Perspectives

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