This repository contains the code necessary to scrape, format and anlayze the publicly available data on Helsinki City Bike network.
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"Helsinki City Bikes" is a public bicycle system in Helsinki and Espoo and integrating with the rest of the public transport in Helsinki since May 2016. Its aim is to solve the so called last mile problem.
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"Helsinki City Bikes" is operated as a public-private partnership between Helsinki Regional Transport Authority (HSL), Helsinki City Transport (HKL), Espoo Technical and Environment Services, Moventia and Smoove.
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City bikes are shared bicycles available to everyone in Helsinki or Espoo. You can purchase access to city bikes for a day, week or the entire cycling season. All passes include an unlimited number of 30-minute bike rides. For a small extra fee, you can use the bike for longer, five hours at most. After use, the bike is returned to a bike station. You can register as a city bike user on the HSL city bikes webpage. A day pass user can get access to 1–4 bikes; other passes only include one bike.
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There are 3,510 bikes in season 2020. Helsinki has 241 and Espoo 110 bike stations.
For more details see the "requirments.txt".
Quick install:
pip install -r requirements.txt
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scraper.py is used for scraping O-D dataset for a given year, station names and coordinates.
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cleaner.py is used to clean and format the data.
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constants.py Contains a dictionary with renamed stations their old and new names. It is used by cleaner to modify stations names in the main dataset.
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main.py is the main script that utilizes the other files.
Start by running the main file.
Scraped and formatted dataset can be found here: Link to Kaggle
| departure | return | departure_id | departure_name | return_id | return_name | distance (m) | duration (sec.) | avg_speed (km/h) | departure_coordinates | return_coordinates | Air temperature (degC) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-03-23 07:43:51 | 2020-03-23 07:52:50 | 207 | Vanha Viertotie | 90.0 | Paciuksenkaari | 2409.0 | 534.0 | 0.2706741573033708 | (60.21107529627341, 24.881660254358646) | (60.1944475, 24.8911179) | 1.1 |
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The origin-destination dataset was downloaded from HSL Open Data portal.
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Weather data was gathered from Finnish Meteorological Institute.
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Bike Station Coordinates are scraped from Digitransit.