[Supporting Data and Software] Potential of on‑demand services for urban travel

doi: 10.4121/b47f8a10-e237-4e18-8b65-57b146a8ff39.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/b47f8a10-e237-4e18-8b65-57b146a8ff39
Datacite citation style:
Geržinič, Nejc; van Oort, Niels; Oded Cats; Hoogendoorn-Lanser, Sascha; Hoogendoorn, S.P.(Serge) (2023): [Supporting Data and Software] Potential of on‑demand services for urban travel. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b47f8a10-e237-4e18-8b65-57b146a8ff39.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
187
views
178
downloads
geolocation
Netherlands
time coverage
2020
licence
cc-by-nc.png logo CC BY-NC 4.0

The files included below are part of the CriticalMaaS research on ride-hailing and on-demand transport services. In this study, passengers' preferences for commute and leisure trips in Dutch urban areas were analysed.


A mode choice stated preference survey was carried out in the Netherlands in February 2020, where respondents had to make a choice for bike, car, public transport or FLEX (on-demand service) for six commute trips (work/education) and six leisure trips (social/recreation) in an urban area.


More information about the research and the data can be found in the files below and the linked paper.

history
  • 2023-03-23 first online, published, posted
publisher
4TU.ResearchData
format
*.py, *.html,*.csv,*.docx
associated peer-reviewed publication
Potential of on‑demand services for urban travel
funding
  • CriticalMaaS (grant code 804469) European Research Council
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Smart Public Transport Lab

DATA

files (5)