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Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance
- Source :
- Journal of Transport Geography. 94:103089
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Autonomous driving technologies (ADTs) are transformative because they are expected to assume the task of driving. Since travel distance is closely related to the burden of driving, it is expected to affect the ADT preference; however, this effect has not been investigated in the transportation literature. Therefore, this study is designed to investigate the ADT preference and heterogeneity with respect to different travel distances. Hypothetical choice situations were designed to investigate people's ADT preferences over human driving for varying travel distances. Using the stated preference data collected via the experiments, four latent class models were estimated for heterogeneity across classes and travel distances. The estimation results show that three classes, we labeled as competitive, autonomous vehicle oriented, human-driven vehicle oriented, are revealed by the ADT preference, regardless of the travel distance. In addition, in-vehicle activities in hypothetical autonomous driving situations were observed across all the classes and travel distances.
- Subjects :
- 050210 logistics & transportation
Computer science
05 social sciences
Geography, Planning and Development
Trip length
0211 other engineering and technologies
021107 urban & regional planning
Transportation
02 engineering and technology
Preference
Latent class model
Travel behavior
Preference data
0502 economics and business
Econometrics
In vehicle
General Environmental Science
Subjects
Details
- ISSN :
- 09666923
- Volume :
- 94
- Database :
- OpenAIRE
- Journal :
- Journal of Transport Geography
- Accession number :
- edsair.doi...........5db54ffbd64f62f68449848592fa9059