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/e281d623-9d5b-4eda-ad85-7eebb9a9eee4

de Clercq, Gijsbert Koen (2023): Supporting files for dissertation: On the mobility effects of future transport modes. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e281d623-9d5b-4eda-ad85-7eebb9a9eee4.v1

Dataset

• Civil Engineering
• Environmentally Sustainable Transport
• Ground Transport
• Other Transport
• Engineering
• Transport

discrete choice modelling, future modes, modal split, new modes, predictive modelling, supernetwork, traffic assignment models, transport

Restrictive Licence

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

by Gijsbert Koen de Clercq

Dataset OViN prepared for analysis discrete choice models and supernetworks + scripts Python + results for DCM and each case-study (Delft-Rotterdam, Sioux Falls, test networks, Delft) in dissertation within each zip-file. For a detailed description of how to use the dataset, please refer to chapter 4 of my dissertation.

• 2023-11-16 first online, published, posted

4TU.ResearchData

zipped files for each case-study. Each zip contains: python scripts, results in csv and pickle files, contains dataset in csv

https://github.com/KoendeClercq/Supernetwork

• SUMMAlab (grant code Grant 439.18.460 B) NWO

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning; NWO (Dutch Research Council); TNO

E-mail name Reason

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