Study on the Influencing Factors of Public Acceptance of Autonomous Vehicles in Chongqing Municipality

--Empirical analysis based on binomial logistic regression models

DOI

10.2991/978-94-6463-276-7_54How to use a DOI?

Keywords

autonomous driving; public acceptance willingness; logistic regression model

Abstract

elf-driving cars are an important part of the national development strategy and are formally proposed for development in the 13th Five-Year National Science and Technology Innovation Plan and the 13th Five-Year National Strategic Emerging Industries Development Plan. Exploring the public’s willingness to accept self-driving cars will help drive the national plan forward. Chongqing, a “mountain city” with significant location, policy, consumption and market characteristics, is a “touchstone” for self-driving car testing and application, and a breakthrough to break the bottleneck in the self-driving car market. Therefore, this project takes the permanent residents of nine districts and counties in Chongqing Municipality as the survey object, takes the public acceptance willingness of self-driving cars and its influencing factors as the theme, and adopts the logistic regression model to study the influence of five variables, such as the perceived ease of use, the perceived usefulness, the perceived risk, the original trust, and the behavioural attitude, on the public acceptance willingness of the self-driving cars and their significant degree, and we find that the self-driving car’s safety, usefulness, and manoeuvrability have a significant effect on the public acceptance willingness, safety causes general public concern, usefulness is the focus of public attention, and manoeuvrability affects the public’s level of trust. Based on this, we can provide statistical data to automobile manufacturers and government departments, so that we can make targeted suggestions and countermeasures.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xunyu Tao
AU  - Chenhao Lu
AU  - Shaoyicheng Zhu
AU  - Yushu Gao
PY  - 2023
DA  - 2023/10/27
TI  - Study on the Influencing Factors of Public Acceptance of Autonomous Vehicles in Chongqing Municipality
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 513
EP  - 523
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_54
DO  - 10.2991/978-94-6463-276-7_54
ID  - Tao2023
ER  -