TY - DATA T1 - Raw data to reproduce figures from the paper Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport PY - 2021/09/30 AU - Rafal Kucharski AU - Oded Cats AU - Menno Yap UR - 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 DO - 10.4121/16698166.v1 KW - urban mobility KW - maas KW - public transport KW - two-sided platforms KW - uber N2 -

## 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


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