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

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

Dataset

• Environmentally Sustainable Transport
• Ground Transport
• Transport

Choice modelling, Latent class, Mobility-on-Demand, Ride-hailing, Stated preference, Urban mobility

2020

CC BY-NC 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Nejc Geržinič, Niels van Oort, Oded Cats, Sascha Hoogendoorn-Lanser, S.P.(Serge) Hoogendoorn

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.

• 2023-03-23 first online, published, posted

4TU.ResearchData

*.py, *.html,*.csv,*.docx

Potential of on‑demand services for urban travel

• CriticalMaaS (grant code 804469) European Research Council

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Smart Public Transport Lab