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http://dx.doi.org/10.12815/kits.2021.20.5.172

Analysis of Factors Affecting Satisfaction with Commuting Time in the Era of Autonomous Driving  

Jang, Jae-min (Korea Institute for Urban Policy)
Cheon, Seung-hoon (Dept. of Big Data Platform and Data Economy, the Korea Transport Institute)
Lee, Soong-bong (Dept. of Big Data Platform and Data Economy, the Korea Transport Institute)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.5, 2021 , pp. 172-185 More about this Journal
Abstract
As the era of autonomous driving approaches, it is expected to have a significant impact on our lives. When autonomous driving cars emerge, it is necessary to develop an index that can evaluate autonomous driving cars as it enhance the productive value of the car by reducing the burden on the driver. This study analyzed how the autonomous driving era affects commuting time and commuting time satisfaction among office goers using a car in Gyeonggi-do. First, a nonlinear relationship (V) was derived for the commuting time and commuting time satisfaction. Here, the factors affecting commuting time satisfaction were analyzed through a binomial logistic model, centered on the sample belonging to the nonlinear section (70 minutes or more for commuting time), which is likely to be affected by the autonomous driving era. The analysis results show that the variables affected by the autonomous driving era were health, sleeping hours, working hours, and leisure time. Since the emergence of autonomous driving cars is highly likely to improve the influencing variables, long-distance commuters are likely to feel higher commuting time satisfaction.
Keywords
Commuting Time; Commuting Satisfaction; Autonomous driving; Logistic Regression Analysis;
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