Public Views towards Implementation of Automated Vehicles in Urban Areas

Piao, Jin; McDonald, M.; Hounsell, N.B.; Graindorge, Matthieu; Graindorge, Tatiana; Malhéné, Nicolas

doi:10.1016/j.trpro.2016.05.232

Cited by 186 publications

(156 citation statements)

References 3 publications

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“…The most frequently cited second priority was congestion reduction, and at the opposite end of the scale, the most frequently cited item as respondents' lowest priority is the ability to send an unoccupied driverless car to perform errands. The item cited least frequently as the top priority was being able to do other activities while inside a car (9%); this is consistent with findings from Piao et al [2] (see Table 2). Table 4 shows results from a set of questions designed by the research team to investigate attitudes thought to affect one's views regarding automated cars.…”

Section: Prioritization Of Benefits From Automated Carssupporting

confidence: 89%

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Public priorities and consumer preferences for selected attributes of automated vehicles

Lustgarten

Vine

2017

J. Mod. Transport.

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Public opinion and consumer preferences are among the various constraints on the rollout of automated cars, as they will affect the decision-making of both automotive industry actors and public-sector regulators. This study contributes to the growing body of the literature regarding this issue, through a moderate-scale survey (n = 370) that incorporated both prioritization/attitudinal questions (regarding public opinion) and a stated-preference module (to identify consumer preferences). The survey protocol includes a stated-preference approach to investigate consumers' preferences for the possibility of very high rates of speed in automated cars on long-distance journeys. We found separately identifiable effects for average travel speeds (manifested as journey duration) and maximum travel speed in the stated-preference scenarios. In the 'prioritization' component of the survey, respondents ranked having the 'highest possible level of safety' as the single most important benefit that they would like automated cars to deliver, ahead of benefits such as being able to performing activities while traveling or having traffic congestion reduced. This result has consequences for the car-following distances that are programmed into the control algorithms of automated cars. Documenting this finding is important, as decisions must be made in the near future by driving-algorithm designers, public-sector regulators, and ultimately the judiciary regarding the guidelines for acceptable automated driving-behavior instructions.

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Section: Prioritization Of Benefits From Automated Carssupporting

confidence: 89%

“…The consequences of vehicle automation are potentially far reaching; however, the body of the literature regarding consumer preferences and public opinion is now in its formative stages (Table 1 summarizes these recent studies [1][2][3][4][5][6]) and relatively little is known with reliability.…”

Section: Introductionmentioning

confidence: 99%

Public priorities and consumer preferences for selected attributes of automated vehicles

Lustgarten

Vine

2017

J. Mod. Transport.

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“…It has been shown that men are more favorable towards automated vehicles than women. For example, it has been found that men were more likely to have a positive attitude towards automated vehicles [7], were more willing to pay more and were less concerned 2 Journal of Advanced Transportation about automated vehicles [8], were more comfortable to allow a fully automated car to perform all functions [9], reported more pleasure and less anxiety with automated vehicles [10], and were more likely to express a positive intention to use and own automated vehicles than women [11].…”

Section: Individual Predictors Of Acceptancementioning

confidence: 99%

Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study

Nordhoff

Winter

Kyriakidis³

et al. 2018

Journal of Advanced Transportation

224

118

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Shuttles that operate without an onboard driver are currently being developed and tested in various projects worldwide. However, there is a paucity of knowledge on the determinants of acceptance of driverless shuttles in large cross-national samples. In the present study, we surveyed 10,000 respondents on the acceptance of driverless vehicles and sociodemographic characteristics, using a 94item online questionnaire. After data filtering, data of 7,755 respondents from 116 countries were retained. Respondents reported that they would enjoy taking a ride in a driverless vehicle (mean = 4.90 on a scale from 1 = disagree strongly to 6 = agree strongly). We further found that the scores on the questionnaire items were most appropriately explained through a general acceptance component, which had loadings of about 0.7 for items pertaining to the usefulness of driverless vehicles and loadings between 0.5 and 0.6 for items concerning the intention to use, ease of use, pleasure, and trust in driverless vehicles, as well as knowledge of mobility-related developments. Additional components were identified as thrill seeking, wanting to be in control manually, supporting a car-free environment, and being comfortable with technology. Correlations between sociodemographic characteristics and general acceptance scores were small (<0.20), yet interpretable (e.g., people who reported difficulty with finding a parking space were more accepting towards driverless vehicles). Finally, we found that the GDP per capita of the respondents' country was predictive of countries' mean general acceptance score ( = −0.48 across 43 countries with 25 or more respondents). In conclusion, self-reported acceptance of driverless vehicles is more strongly determined by domain-specific attitudes than by sociodemographic characteristics. We recommend further research, using objective measures, into the hypothesis that national characteristics are a predictor of the acceptance of driverless vehicles.

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“…The lack of personnel would be one of the most concerned issues (e.g. security) [13]. The user trust can be improved by providing hands-on experience about systems [9].…”

Section: State Of the Artmentioning

confidence: 99%

Framework for planning the mobility service based on autonomous vehicles

Földes

Csiszár

2018

2018 Smart City Symposium Prague (SCSP)

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Abstract-Autonomous vehicles (AVs) facilitate alteration in the passenger transportation. Shared, demand-driven mobility services based on small-capacity AVs emerge in urban areas. In order to provide highly personalized services and to enhance the acceptance of AVs, the user expectations are to be revealed. The research question is what kind of information is needed to plan various service types with the consideration of user expectations and operational constraints. Accordingly, the planning functions, as well as their input and output data have been identified. Then, the connections between the functions have been explored. In order to provide input data for planning functions, we have elaborated a data collection method applying a questionnaire survey with stated preferences. Based on the survey data correlations could be revealed between socio-demographic characteristics or mobility habits and expected mobility service attributes. The results can be used as a framework for planning mobility services based on AVs.

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Public Views towards Implementation of Automated Vehicles in Urban Areas

Cited by 186 publications

References 3 publications

Public priorities and consumer preferences for selected attributes of automated vehicles

Public priorities and consumer preferences for selected attributes of automated vehicles

Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study

Framework for planning the mobility service based on autonomous vehicles

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