%0 Generic %A Kucharski, Rafal %A Cats, Oded %A Yap, Menno %D 2021 %T Raw data to reproduce figures from the paper Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport %U https://data.4tu.nl/articles/dataset/Raw_data_to_reproduce_figures_from_the_paper_Beyond_the_Dichotomy_How_Ride-hailing_Competes_with_and_Complements_Public_Transport/16698166/1 %R 10.4121/16698166.v1 %K urban mobility %K maas %K public transport %K two-sided platforms %K uber %X
## 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