United States Department of Transportation
i
Public Perception of the Collection and Use of Connected Vehicle Data
-
2021-09-01
[PDF-2.60 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report
-
Corporate Publisher:
-
Abstract:Connected vehicles (CV) offer various potential improvements to the existing transportation system. However, to maximize these benefits, sufficient market penetration is needed. The existing literature lacks understanding of public perception of CV adoption. Past studies highlighted data privacy and security as possible barriers to CV acceptance. The objectives of this study were to understand CV data sharing intention, ascertain associations between data issues and CV acceptance, and to develop a CV acceptance model. To accomplish these objectives, exploratory and confirmatory factor analyses and structural equation models were fitted to survey data. The results showed that perceived data privacy and security was found to lower the CV acceptance directly and indirectly through data sharing intention. Perceived data privacy and security was also found to lower the trust towards CVs. These findings imply that stakeholders should act to reduce the data issues associated with CV and educate users about such efforts. The data sharing intention was found to depend on the use of CV data but not the type of data. Thus, stakeholders should assure the public about the specific intended uses of data. It was found that enforcement and fees assessment were the least desirable use of CV data. Another contribution of this study is the development of a novel connected vehicle acceptance model, which explains the overall development of public attitude and behavioral intention to use CVs. The associations of individual characteristics with CV acceptance and its determinants were also investigated. Finally, possible ways to improve CV acceptance are discussed.
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
