A study on public acceptance of self-driving cars based on structural equation modeling in the city of Chongqing

DOI

10.2991/978-94-6463-276-7_17How to use a DOI?

Keywords

self-driving cars; willingness to accept; structural equation modeling property service

Abstract

This study constructs a novel theoretical framework to uncover the effects of perceived ease of use, perceived usefulness, perceived risk, original trust, and behavioral attitude on people’s acceptance of self-driving cars. A survey data on potential users for the public acceptance of self-driving cars from one city in China were empirically examined using structural equation modeling. We use validation to examine the factors that would influence people’s willingness to adopt self-driving cars and provide strategies from both corporate and government perspectives. Our results show that perceived ease of use of self-driving cars would eliminate perceived risk; perceived usefulness would have a strong positive effect on original trust, as well as a strong positive effect on willingness to accept; perceived ease of use would have a moderately positive effect on perceived usefulness and a positive effect on original trust; perceived ease of use would reduce perceived risk. This research provides new evidence and serves as an insightful decision-making reference for policymakers and operators seeking to encourage people’s acceptance of self-driving cars.

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  - Chenhao Lu
AU  - Shaoyicheng Zhu
AU  - Xunyu Tao
AU  - Yushu Gao
PY  - 2023
DA  - 2023/10/27
TI  - A study on public acceptance of self-driving cars based on structural equation modeling in the city of Chongqing
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 142
EP  - 156
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_17
DO  - 10.2991/978-94-6463-276-7_17
ID  - Lu2023
ER  -