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Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles

Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 14, Issue: 1
2024
  • 2
    Citations
  • 0
    Usage
  • 8
    Captures
  • 2
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
  • Captures
    8
  • Mentions
    2
    • Blog Mentions
      1
      • Blog
        1
    • News Mentions
      1
      • 1

Most Recent News

Reports Summarize Self-Driving Cars Study Results from Kyushu University (Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles)

2024 JAN 24 (NewsRx) -- By a News Reporter-Staff News Editor at Transportation Daily News -- Research findings on self-driving cars are discussed in a

Article Description

This study investigates the impact of environmental concerns, concerns about potential accidents, and the perceived advantages of fully autonomous vehicles on individuals’ willingness to buy and the perceived value of these vehicles. Our research, conducted through a comprehensive survey with over 180,000 respondents in Japan and analyzed using structural equation modeling, reveals a nuanced disparity between willingness to buy and perceived value. We find that individuals concerned with the conservation of the natural environment are more likely to purchase fully autonomous vehicles due to their broader interest in societal issues and belief in the potential of new technologies like fully autonomous vehicles as solutions. However, these individuals attribute a lower perceived value to these vehicles, mainly because their adoption does not directly contribute to the conservation of the natural environment. Additionally, our results show that those recognizing the potential advantages of fully autonomous vehicle technology have a higher willingness to buy and perceived value, while those with apprehensions about the technology are less likely to purchase and attribute a lower perceived value to these vehicles. This study offers vital insights for policy and planning, highlighting the complex interplay of factors influencing the willingness to buy and perceived value of fully autonomous vehicles, critical for strategizing their adoption.

Bibliographic Details

Sunbin Yoo; Junya Kumagai; Yuta Kawabata; Alexander Ryota Keeley; Shunsuke Managi

MDPI AG

Materials Science; Physics and Astronomy; Engineering; Chemical Engineering; Computer Science

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