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Public concerns and connected and automated vehicles: safety, privacy, and data security
TransportationHumanities & Social Sciences Communications

Public concerns and connected and automated vehicles: safety, privacy, and data security

D. Lee and D. J. Hess

Explore the public's concerns about connected and automated vehicles (CAVs) in this intriguing study by Dasom Lee and David J. Hess. Delve into how factors like gender, age, and ethnicity reveal differing attitudes towards safety, privacy, and data security within the U.S. Are we ready for the vehicles of the future?... show more
Abstract
One dimension of the emerging politics of connected and automated vehicles (CAVs) is the development of public concerns over their societal implications and associated policy issues. This study uses original survey data from the United States to contribute to the anticipation of future policy and political issues for CAVs. Several studies have surveyed the public regarding CAVs; however, there are few studies that highlight the multidimensional public concerns that CAVs will most likely bring. The study breaks down the concept of "public" by showing that the demographic variables of gender, age, race, ethnicity, income, location (rural, suburban, urban), and political ideology (conservative, moderate, liberal) are significantly associated with three of the most salient public concerns to date (safety, privacy, and data security). Furthermore, the effects of demographic variables also vary across the type of policy issue. For example, women tend to be more concerned about safety than their male counterparts, and Hispanics (Latinx) tend to be more concerned about privacy than non-Hispanics. The research shows how the social scientific analysis of the "politics" of CAVs will require attention to the variegated connections between different types of public concern and different demographic variables.
Publisher
Humanities & Social Sciences Communications
Published On
Jan 28, 2022
Authors
Dasom Lee, David J. Hess
Tags
connected vehiclesautomated vehiclespublic opinionsafetyprivacydemographicsdata security
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