Raw data to reproduce figures from the paper Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport

DOI:10.4121/16698166.v1
The DOI displayed 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: 10.4121/16698166
Datacite citation style:
Rafal Kucharski; Oded Cats; Menno Yap (2021): Raw data to reproduce figures from the paper Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16698166.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

## Data to reproduce figures from the paper:

>Cats, O., Kucharski, R., Danda, S. R., & Yap, M. (2021). Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport. arXiv preprint arXiv:2104.04208.


### fig_1_data.csv

* each row denotes a single histogram line with 7 percentile values (in columns), each row is named after city and attribute name

### fig_2_data.csv

* each row denotes a single histogram line with 7 percentile values (in columns), each row is named after city and attribute name

### maps.zip

* each map has its own csv file named `hexdata_city_attribute_level.csv`.

* each row in .csv file denotes single hex and contains: hex_id (https://github.com/uber/h3-py), hex geometry (in WKT format) and attribute value (used as a coloring scale in the maps)

### fig. 6

* each dot in the file is stored in the `.csv` as the x,y,value in respective lines in rows


History

  • 2021-09-30 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Funding

  • This research was supported by the CriticalMaaS project (Grant Number 804469), which is financed by the European Research Council and Amsterdam Institute for Advanced Metropolitan Solutions

Organizations

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

DATA

Files (1)