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Analysis of Safety Benefits and Security Concerns from the Use of Autonomous Vehicles: A Grouped Random Parameters Bivariate Probit Approach with Heterogeneity in Means

Ahmed, Sheikh Shahriar; Pantangi, Sarvani Sonduru; Eker, Ugur; Fountas, Grigorios; Still, Stephen E.; Anastasopoulos, Panagiotis Ch.

Authors

Sheikh Shahriar Ahmed

Sarvani Sonduru Pantangi

Ugur Eker

Stephen E. Still

Panagiotis Ch. Anastasopoulos



Abstract

This paper investigates public perceptions towards potential safety benefits, and safety- and security-related concerns from the future use of autonomous vehicles by utilizing data collected from an online survey. The survey includes responses from 584 individuals from the United States, who responded to a varying range of questions related to autonomous vehicles and their usage. The subsequent exploratory statistical analysis is conducted by employing a novel method, namely the grouped random parameters bivariate probit model with heterogeneity in means. The proposed method accounts for the challenges stemming from the presence of multiple layers of unobserved heterogeneity in the data, and simultaneously offers more insightful results. From the analysis, several socio-demographic characteristics, and driving attitude related characteristics and opinions were found to affect the perceptions towards the safety and security related aspects of autonomous vehicles. The heterogeneity in means approach revealed distinct individual-specific characteristics that affect the peak of the distribution of the parameter density function of the random parameters, adding further clarity to the understanding of the factors affecting individuals’ perceptions towards autonomous vehicles. The findings from this study suggest the ongoing evaluation of public perceptions, and reinforce the requirement of analyzing temporal variations in public perceptions. This can, in turn, aid regulatory and governance entities and autonomous vehicle manufacturers to adapt their strategies and implementation plans accordingly.

Citation

Ahmed, S. S., Pantangi, S. S., Eker, U., Fountas, G., Still, S. E., & Anastasopoulos, P. C. (2020). Analysis of Safety Benefits and Security Concerns from the Use of Autonomous Vehicles: A Grouped Random Parameters Bivariate Probit Approach with Heterogeneity in Means. Analytic Methods in Accident Research, 28, Article 100134. https://doi.org/10.1016/j.amar.2020.100134

Journal Article Type Article
Acceptance Date Aug 21, 2020
Online Publication Date Aug 29, 2020
Publication Date 2020-12
Deposit Date Aug 27, 2020
Publicly Available Date Mar 1, 2022
Print ISSN 2213-6657
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 28
Article Number 100134
DOI https://doi.org/10.1016/j.amar.2020.100134
Keywords Autonomous vehicles; Safety; Security; Grouped random parameters; Bivariate probit model; Heterogeneity in means
Public URL http://researchrepository.napier.ac.uk/Output/2683281

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Analysis Of Safety Benefits And Security Concerns From The Use Of Autonomous Vehicles: A Grouped Random Parameters Bivariate Probit Approach With Heterogeneity In Means (accepted version) (529 Kb)
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Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
Accepted manuscript licensed under a Creative Commons Attribution Non-Commercial No-Derivatives (CC BY-NC-ND) license.





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