Identifying user classes for shared and automated mobility services
New forms of shared mobility such as free-floating car-sharing services and shared automated vehicles have the potential to change urban travel behaviour. In this paper, we identify potential user classes for these new modes. For this, a stated choice experiment on mode choice among a sample of the Dutch urban population has been conducted, which features free-floating car-sharing and shared automated vehicles next to private vehicles, bus, and taxi. The experimental design allows disentangling the effects of vehicle ownership, vehicle sharing and vehicle automation on the perceived utility of these modes. Further contributions lie in the identification of user classes for shared and automated mobility services and their potential migration from their current modes to the these services. Latent class choice models were estimated to capture the heterogeneity in these preferences among the respondents. The most explanatory mode choice model is obtained by estimating a 3-class nested logit model capturing the impact of vehicle ownership. The results show that higher educated and more time-sensitive respondents are more inclined than others to favour the (automated) car-sharing options. By simulating a scenario that directly compares car with free-floating car-sharing and taxi with shared automated vehicles, a migration analysis has been performed. This analysis shows that the preferences towards shared automated vehicles and free-floating car-sharing is highest for those currently combining car and public transport for their commute. Commuters using the car showed a high preference towards free-floating car-sharing, in particular as for the latter no parking fees are issued. Respondents currently commuting by public transport showed the lowest preference for the new modes.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
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Supplemental Notes:
- © 2020 Konstanze Winter et al. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
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Authors:
- Winter, Konstanze
- Cats, Oded
- Martens, Karel
- Van Arem, Bart
- Publication Date: 2020-12
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 36
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Serial:
- European Transport Research Review
- Volume: 12
- Issue Number: 1
- Publisher: Springer Publishing
- ISSN: 1866-8887
- EISSN: 1867-0717
- Serial URL: http://link.springer.com/journal/12544
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Intelligent vehicles; Shared mobility; Travel behavior; Urban travel; Vehicle sharing
- Geographic Terms: Netherlands
- Subject Areas: Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01751035
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 31 2020 5:43PM