Empirical evidence of bias in public acceptance of autonomous vehicles

Janatabadi, Fatemeh; Ermagun, Alireza

doi:10.1016/j.trf.2021.12.005

Cited by 33 publications

(13 citation statements)

References 99 publications

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“…For instance, the survey presents respondents with items addressing benefits related to congestion, insurance, and crash prevention, as well as items related to negative aspects, such as data privacy concerning data collection and sharing. Notably, the questionnaire maintains a neutral tone in its phrasing, refraining from using terms like “fewer,” “more,” or “increased.” Instead, it employs expressions such as “Education on automated cars would be beneficial to me” and “I will find automated cars easy to use.” This careful choice of wording aims to mitigate potential bias in the survey results [50]. Consequently, the survey items pertaining to stress reduction, multitasking capabilities, enhanced mobility, and efficiency gains are anticipated to exhibit a slight increase when compared to the neutral descriptions, collectively constituting approximately 10% of the total survey items.…”

Section: Methodsmentioning

confidence: 99%

“…Instead, it employs expressions such as "Education on automated cars would be beneficial to me" and "I will find automated cars easy to use." This careful choice of wording aims to mitigate potential bias in the survey results [50].…”

Section: Surveymentioning

confidence: 99%

“…To mitigate cognitive constraints, enhanced training programs utilizing AV simulators can improve comprehension of AVs. Furthermore, it's crucial to note that presenting incomplete information can introduce bias, as Janatabadi and Ermagun [50] noted. Therefore, it becomes imperative to equip comprehensive information, especially as our understanding of AVs evolves, to ensure unbiased perspectives among individuals.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Chen,

Shiwakoti,

Stasinopoulos

et al. 2023

IET Intelligent Trans Sys

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Fewer studies have investigated the factors affecting fully Automated Vehicles (AVs) acceptance and their association with demographics and travel behaviour in the Australian context. Evidence shows that public opinions and adoption towards AVs may vary by country. Therefore, this study aims to systematically explore the factors affecting public opinion towards fully AVs by conducting a survey in Australia. Specifically, the study examines seven key attributes (benefits/usefulness, ease of use, attitude, data privacy, willingness to pay more, social influence, and trust) towards the opinions of AVs and their association between demographic and travel behaviour. The results from 809 Australian responses show that Australians tend to have a positive attitude toward AVs. Age and years of driving experience are the two most important factors instead of travel characteristics (e.g. frequency of driving cars, travel time by car, and distance of driving cars). Being less exposed to automation technology is likely to be the main reason affecting the adoption of AVs for the two socio‐demographic factors: age and years of driving experience. Males hold a relatively positive attitude towards AVs than females. Likewise, Australians are less likely to pay more for fully AVs than conventional vehicles. Data privacy is also concerning for Australians.

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Section: Methodsmentioning

confidence: 99%

Section: Surveymentioning

confidence: 99%

Section: Limitations and Future Directionsmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Chen,

Shiwakoti,

Stasinopoulos

et al. 2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…On the other side, previous studies that investigated the public attitude towards SDVs rarely discussed the relationship between the level of knowledge and the public attitude as discussed in two literature review papers that show that only 6-10% of the papers on the public attitude marginally mention this relationship (Nordhoff et al, 2019;Janatabadi and Ermagun, 2022). In addition, these studies show that the level of acceptance of SDVs increases with the increase of the level of knowledge or awareness about the technology (Liu et Stilgoe and Cohen, 2021), which contradicts the previous observation that shows that the public acceptance of SDVs decreases with the increases in the level of knowledge.…”

Section: Introductionmentioning

confidence: 99%

A Microscopic Analysis of the Relationship Between Prior Knowledge About Self-Driving Cars and the Public Acceptance: A Survey in the US

Othman

2023

Transport and Telecommunication Journal

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Previous studies have shown that the level of awareness of SDVs is a deciding factor that affects the public attitude towards this emerging technology; however, none of these studies focuses on understanding the relationship between these two variables. Thus, this study utilizes a questionnaire survey with the objective of drawing the relationship between the public attitude and level of knowledge. A total of 2447 complete responses were revised from participants from the US. The results show that people with prior knowledge about SDVs are more likely to travel on SDVs. However, participants who know a bit about SDVs were the most likely to travel on SDVs when compared with participants who had no knowledge and participants who know a lot about SDVs. In addition, the analysis shows that the relationship between the level of knowledge and the level of acceptance of SDVs is not linear but rather parabolic.

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“…In the last decade, an abundance of survey studies has emerged in an attempt to set expectations and identify the concerns of pedestrians and cyclists about sharing the road with AVs ( 7 , 8 ). Some of the studies suffered from biased and improper design, while the number of respondents and covered demographics were limited in others ( 9 ). Still, the findings offered a peek at the consensus of the public toward AVs and some of the areas that could help alleviate their concerns.…”

mentioning

confidence: 99%

Active Road User Interactions With Autonomous Vehicles: Proactive Safety Assessment

Alozi

Hussein

2023

Transportation Research Record: Journal of the Transportation R

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This study aims to conduct a thorough assessment of pedestrian and cyclist safety in autonomous vehicle (AV) environments. To that end, the study utilized AV sensor data of over 1,500 driving hours from five sources in Canada, the United States, and Singapore. The sensor data were used to extract conflicts between AVs and active road users. The conflicts were then processed to develop accurate estimates of AV collisions involving pedestrians and cyclists based on the extreme value theory. Further in-depth assessments were conducted on the identified conflicts, by type and location, to highlight potential issues leading to risky conflicts. The results showed that the total number of predicted AV collisions involving active road users was 2.17 collisions per million AV kilometers travelled. Collisions involving pedestrians were slightly higher than those involving cyclists. Also, collisions in clear weather conditions slightly exceeded collisions in adverse weather conditions, although the difference was not statistically significant. The relative risk of collisions was developed for both pedestrian and cyclist conflicts per AV movement type. The results showed that for pedestrians, interactions with right-turning AVs are the riskiest, while interactions with left-turning AVs are the riskiest for cyclists. A thorough analysis of conflicts revealed many issues, including a higher tendency for pedestrian violations when interacting with AVs, aggressive AV behavior (particularly when interacting with pedestrians while making a right turn), AVs struggling to predict the path of cyclists (mainly because of cyclist violations), and AVs failing to interpret pedestrian intentions in some cases.

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Empirical evidence of bias in public acceptance of autonomous vehicles

Cited by 33 publications

References 99 publications

Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

A Microscopic Analysis of the Relationship Between Prior Knowledge About Self-Driving Cars and the Public Acceptance: A Survey in the US

Active Road User Interactions With Autonomous Vehicles: Proactive Safety Assessment

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