Elsevier

Safety Science

Volume 121, January 2020, Pages 634-650
Safety Science

Public perceptions of autonomous vehicle safety: An international comparison

https://doi.org/10.1016/j.ssci.2019.07.022Get rights and content

Highlights

  • Perceptions of AV safety were surveyed across 41,932 individuals in 51 countries.

  • Young, high-income, employed, and highly-educated males are the most optimistic about AV safety.

  • Western European countries are aware of AV technology, but are pessimistic about its safety.

  • Conversely, developing countries in Asia are the most optimistic about current and future AV safety.

  • AV safety optimism in risk-taking individuals and developing countries may reduce global disparity in road safety.

Abstract

Autonomous vehicles (AVs) are envisioned to reduce road fatalities by switching control of safety-critical tasks from humans to machines. Realizing safety benefits on the ground depends on technological advancement as well as the scale and rate of AV adoption, which are influenced by public perceptions. Employing multilevel structural equation modeling, this paper explores differences in perceptions of AV safety across 33,958 individuals in 51 countries. At the individual level, young males report higher perceptions of current AV safety and predict fewer years until AVs are safe enough for them to use. Since young males are more likely to undertake risky driving behavior, their positivity towards AV safety could lead to more rapid manifestations of safety benefits. Urban, fully employed individuals with higher incomes and education levels also report fewer years until AVs are safe to use. The multilevel model identifies country-level effects after controlling for individual characteristics. Developed countries with greater motorization rates and lower road death rates tend to have greater awareness of AVs but are more pessimistic about their present and future safety. Individuals in developing countries that face greater road safety challenges, particularly involving 2- and 3-wheeled vehicles, predict fewer years until AVs will be safe enough for them to use. Higher AV safety perception among the most risk-taking road users and in developing countries coincide with sociodemographic groups and geographic areas facing the greatest road safety challenges and most in need of improvement, highlighting a potential opportunity to reduce the global disparity in road safety.

Introduction

Greater road safety is one of the key potential benefits of autonomous vehicles (AVs) because these systems assume control of safety critical tasks, the type often prone to human error (NHTSA, 2017). Several studies suggest that the potential for improved safety is a key determinant of the general public’s willingness to use AVs (Casley et al., 2013, Howard and Dai, 2014). Therefore, perceptions of AV safety may help determine the extent to which people will accept and use AVs and the rate at which their safety benefits may be realized on the road. However, these findings largely come from data collected in a handful of developed countries1 and therefore may fail to generalize to developing countries, where road safety is significantly worse. Thus, current literature largely fails to account for how perceptions of AV safety differ across individuals and countries and how those differences may impact the rate and scale of AV adoption.

This study examines perceptions of AV safety across a diverse sample of individuals from a wide variety of countries. Using data from an international survey, this paper explores how awareness of AV technology and perceptions and predictions of AV safety differ across 41,932 individuals in 51 countries. In particular, we investigate what sociodemographic groups (across all countries) demonstrate the most positive current perception and future predictions of AV safety. Controlling for these individual characteristics, we also isolate country-level effects independent of the individuals in those countries and use correlational analysis to understand how country-level factors such as income, car use, and road safety relate to observed variation in country effects on AV safety perceptions.

In this paper, we begin with a literature review of public perceptions of autonomous vehicle safety, with a focus on international comparisons and studies of perceptions of AV safety. Next, we present our methodological approach, providing an overview of our survey, sample, key variables, and modeling framework. We then present the results of our study, including trends across individuals and across countries. Finally, we discuss how the varying perceptions of AV safety demonstrated in our survey may contribute to different rates of AV adoption across countries and, in turn, how this may interact with the existing global road safety disparity between developing and developed countries.

Section snippets

Literature review: public perceptions of autonomous vehicles

There is a wealth of research investigating what factors correspond with increased interest in AVs, more positive attitudes regarding the technology, and higher willingness to adopt, use, and buy it. Many studies have identified young adults and men as two demographics that hold more positive attitudes towards autonomous vehicle technology (Nielsen and Haustein, 2018, Anania et al., 2018, Hulse et al., 2018, Lee et al., 2017). In particular, young people and men have been shown to agree more

Survey design and respondent recruitment

A 20-question survey was administered by Dalia Research via mobile phones to participants in 51 countries during the two-month period from December 2016 through January 2017.2 Mobile phone based data collection

Descriptive statistics

Looking at the raw data across the 33,958 respondents in our 51 countries, we see significant variance in reported levels of AV awareness, current perceptions of AV safety, and predictions of when AVs will be safe enough to use (see Fig. 2). The majority of respondents across all countries (55.9%) reported that they were “a bit” aware of AVs (Fig. 2a), which somewhat parallels findings from other international surveys which found that 49.9–52.2% of respondents had heard of the Google Driverless

Discussion

This study represents an unprecedented international comparison of perceptions of AV safety across 33,958 individuals in 51 countries. Employing multilevel structural equation modeling that simultaneously accounts for characteristics of both individuals and countries, we are able to break out differences in awareness of AV technology, current perceptions of AV safety, and future predictions of years until AVs will be safe enough to use into individual-level and country-level effects. We can

Acknowledgements

The authors would like to thank Ashley Nunes and colleagues at the JTL Urban Mobility Lab for their theoretical and methodological critiques throughout the development of this paper. This work was supported through the MIT Energy Initiative's Mobility of the Future study. Dalia Research provided participant recruitment, survey implementation, and data.

References (47)

  • T. Zhang et al.

    The roles of initial trust and perceived risk in public’s acceptance of automated vehicles

    Transport. Res. Part C: Emerg. Technol.

    (2019)
  • E.C. Anania et al.

    The effects of positive and negative information on consumers’ willingness to ride in a driverless vehicle

    Transp. Policy

    (2018)
  • Asparouhov, T., Muthén B., 2007. Constructing Covariates in Multilevel Regression. Mplus Web Notes: No. 11....
  • S.V. Casley et al.

    A Study of Public Acceptance of Autonomous Cars

    (2013)
  • J.K. Choi et al.

    Investigating the importance of trust on adopting an autonomous vehicle

    Int. J. Hum.-Comput. Int.

    (2015)
  • J.C.F. de Winter et al.

    Using CrowdFlower to study the relationship between self-reported violations and traffic accidents

    Presented at the 6th International Conference on Applied Human Factors and Ergonomics (AHFE), Las Vegas

    (2015)
  • S. Depaoli et al.

    Improving transparency and replication in bayesian statistics: the WAMBS-checklist

    Psychol. Methods

    (2017)
  • C.K. Enders et al.

    Centering predictor variables in cross-sectional multilevel models: a new look at an old issue

    Psychol. Methods

    (2007)
  • A. Gelman et al.

    Inference from iterative simulation using multiple sequences

    Stat. Sci.

    (1992)
  • A. Gelman et al.

    A single series from the Gibbs sampler provides a false sense of security

  • Howard, D., Dai, D., 2014. Public perceptions of self-driving cars: The case of Berkeley, California. In:...
  • International Organization of Motor Vehicle Manufacturers [OICA], 2015. World Vehicles in use: All vehicles (including...
  • M. Kyriakidis et al.

    Public opinion on automated driving: results of an international questionnaire among 5000 respondents

    Transport. Res. Part F: Traffic Psychol. Behav.

    (2015)
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