https://github.com/datenhahn/rental-bike-analysis
Analyzes rental bike rides in munich from the year 2021
https://github.com/datenhahn/rental-bike-analysis
Last synced: about 1 month ago
JSON representation
Analyzes rental bike rides in munich from the year 2021
- Host: GitHub
- URL: https://github.com/datenhahn/rental-bike-analysis
- Owner: datenhahn
- License: apache-2.0
- Created: 2023-03-24T17:57:04.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-25T21:45:08.000Z (about 3 years ago)
- Last Synced: 2025-02-23T22:28:13.719Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 15.1 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Rental Bike Analysis
This repository analyzes rental bike rides in munich from the year 2021. For more information see the heading _Dataset "Rides on the MVG bike"_ below.
It is the accompanying repository to this blog post which discusses the findings: https://medium.com/@jonas.hahn/riding-the-data-wave-insights-into-munichs-bike-rental-trends-8330bc4e6c41
The data is prepared for analysis and the following questions are answered:
* How long do people usually rent these bikes?
* How far do they travel with them?
* Do people often use them complementary to the other public transport?
## Requirements
* Python 3.7 (it was tested with this version, but probably new versions also work)
### Libraries used
The following python libraries were used. (see `requirements.txt`)
jupyter==1.0.0
pandas==1.5.3
matplotlib==3.7.1
geopy==2.3.0
numpy==1.24.2
black==23.1.0
jupyter_black==0.3.3
## File Description
* `rental-bike-analysis.ipynb` : Jupyter Notebook containing the data analysis.
* `MVG_Rad_Fahrten_2021.zip` : 2021 MVG rental bike data (zipped).
## Getting started
(Optional) Download the dataset. The dataset is shipped with the repository, so you can skip this step.
wget https://www.mvg.de/dam/mvg/services/mobile-services/mvg-rad/fahrten-csv/MVG_Rad_Fahrten_2021.zip
Unzip the dataset.
unzip MVG_Rad_Fahrten_2021.zip
Install requirements.
pip install -r requirements.txt
Start the jupyter notebook.
jupyter
Now open in a browser: http://localhost:8888/notebooks/rental-bike-analysis.ipynb
## Dataset "Rides on the MVG bike"
https://opendata.muenchen.de/dataset/fahrten-mit-dem-mvg-rad
This data record includes anonymized raw data from trips with MVG bikes. The following data can be downloaded, viewed and evaluated for each bike rental:
* Start date and time of the loan
* End date and time of the loan
* Loan start coordinates
* Coordinates rental end
* Rental start station-based or free-floating
* Possibly station name
* Rental end station based or free floating
* Possibly station name
The data is always provided for an entire year. The upload takes place with a certain time lag of about 5-6 months, so that the data is available in May or June of the following year.
## License
All code written in this repo is under the Apache License Version 2.0.
The data is under the Datenlizenz Deutschland – Namensnennung – Version 2.0 https://www.govdata.de/dl-de/by-2-0 .
Datenquelle: dl-de/by-2-0: Landeshauptstadt München – opendata.muenchen.de
https://opendata.muenchen.de/pages/nutzungsbedingungen