Data underlying the PhD dissertation "Two-Sided Dynamics in Ridesourcing Markets"

doi:10.4121/a05bb01c-f8d2-4ed0-8791-a98bc9fc6f50.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/a05bb01c-f8d2-4ed0-8791-a98bc9fc6f50
Datacite citation style:
de Ruijter, Arjan; Cats, Oded; van Lint, Hans (2024): Data underlying the PhD dissertation "Two-Sided Dynamics in Ridesourcing Markets". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a05bb01c-f8d2-4ed0-8791-a98bc9fc6f50.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
geolocation
Amsterdam
time coverage
2021-2023

This dataset is associated with the PhD dissertation of Arjan de Ruijter, called "Two-Sided Dynamics in Ridesourcing Markets". The dissertation is part of the CriticalMaaS project in the department of Transport and Planning, Faculty of Civil Engineering. The dataset contains input data for the simulations included in the dissertation, specifically (artificial) demand data and network data for Amsterdam.

history
  • 2024-08-30 first online, published, posted
publisher
4TU.ResearchData
format
.csv, .graphml
funding
  • ERC Starting Grant CriticalMaaS (Grant Number 804469)
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (1)