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‘London bike sharing dataset’ analyzed by Analyst-2
- analyst-2.ai
Updated Jan 28, 2022
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EmailClick to copy linkLink copiedCiteAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘London bike sharing dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-london-bike-sharing-dataset-2911/latestDataset updatedJan 28, 2022Dataset authored and provided byAnalyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredLondonDescriptionAnalysis of ‘London bike sharing dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/hmavrodiev/london-bike-sharing-dataset on 28 January 2022.
--- Dataset description provided by original source is as follows ---
License
These licence terms and conditions apply to TfL's free transport data service and are based on version 2.0 of the Open Government Licence with specific amendments for Transport for London (the "Licence"). TfL may at any time revise this Licence without notice. It is up to you ("You") to regularly review the Licence, which will be available on this website, in case there are any changes. Your continued use of the transport data feeds You have opted to receive ("Information") after a change has been made to the Licence will be treated as Your acceptance of that change.
Using Information under this Licence TfL grants You a worldwide, royalty-free, perpetual, non-exclusive Licence to use the Information subject to the conditions below (as varied from time to time).
This Licence does not affect Your freedom under fair dealing or fair use or any other copyright or database right exceptions and limitations.
This Licence shall apply from the date of registration and shall continue for the period the Information is provided to You or You breach the Licence.
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Copy, publish, distribute and transmit the Information Adapt the Information and Exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in Your own product or application Requirements You must, where You do any of the above:
Acknowledge TfL as the source of the Information by including the following attribution statement 'Powered by TfL Open Data' Acknowledge that this Information contains Ordnance Survey derived data by including the following attribution statement: 'Contains OS data © Crown copyright and database rights 2016' and Geomni UK Map data © and database rights [2019] Ensure our intellectual property rights, including all logos, design rights, patents and trademarks, are protected by following our design and branding guidelines Limit traffic requests up to a maximum of 300 calls per minute per data feed. TfL reserves the right to throttle or limit access to feeds when it is believed the overall service is being degraded by excessive use and Ensure the information You provide on registration is accurate These are important conditions of this Licence and if You fail to comply with them the rights granted to You under this Licence, or any similar licence granted by TfL, will end automatically.
Exemptions This Licence does not:
Transfer any intellectual property rights in the Information to You or any third party Include personal data in the Information Provide any rights to use the Information after this Licence has ended Provide any rights to use any other intellectual property rights, including patents, trade marks, and design rights or permit You to: Use data from the Oyster, Congestion Charging and Santander Cycles websites to populate or update any other software or database or Use any automated system, software or process to extract content and/or data, including trawling, data mining and screen scraping in relation to the Oyster, Congestion Charging and Santander Cycles websites, except where expressly permitted under a written licence agreement with TfL. These are important conditions of this Licence and, if You fail to comply with them, the rights granted to You under this Licence, or any similar licence granted by TfL, will end automatically.
Non-endorsement This Licence does not grant You any right to use the Information in a way that suggests any official status or that TfL endorses You or Your use of the Information.
Context
The purpose is to try predict the future bike shares.
Content
The data is acquired from 3 sources:
- Https://cycling.data.tfl.gov.uk/ 'Contains OS data © Crown copyright and database rights 2016' and Geomni UK Map data © and database rights [2019] 'Powered by TfL Open Data'
- freemeteo.com - weather data
- https://www.gov.uk/bank-holidays
From 1/1/2015 to 31/12/2016The data from cycling dataset is grouped by "Start time", this represent the count of new bike shares grouped by hour. The long duration shares are not taken in the count.
Metadata:
"timestamp" - timestamp field for grouping the data
"cnt" - the count of a new bike shares
"t1" - real temperature in C
"t2" - temperature in C "feels like"
"hum" - humidity in percentage
"wind_speed" - wind speed in km/h
"weather_code" - category of the weather
"is_holiday" - boolean field - 1 holiday / 0 non holiday
"is_weekend" - boolean field - 1 if the day is weekend
"season" - category field meteorological seasons: 0-spring ; 1-summer; 2-fall; 3-winter."weathe_code" category description:
1 = Clear ; mostly clear but have some values with haze/fog/patches of fog/ fog in vicinity
2 = scattered clouds / few clouds
3 = Broken clouds
4 = Cloudy
7 = Rain/ light Rain shower/ Light rain
10 = rain with thunderstorm
26 = snowfall
94 = Freezing Fog--- Original source retains full ownership of the source dataset ---
London-s-Bike-Sharing-Market-Research
- kaggle.com
zipUpdated Aug 21, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMohamed Youssef (2023). London-s-Bike-Sharing-Market-Research [Dataset]. https://www.kaggle.com/datasets/mohamedsyoussef/london-s-bike-sharing-market-researchzip(3259880 bytes)Available download formatsDataset updatedAug 21, 2023AuthorsMohamed YoussefArea coveredLondonDescriptionDataset
This dataset was created by Mohamed Youssef
Contents
Key players in the bike sharing market of the UK 2022
- statista.com
- proxy.parisjc.edu
- +2more
Updated Sep 24, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStatista (2024). Key players in the bike sharing market of the UK 2022 [Dataset]. https://www.statista.com/statistics/1405623/bike-sharing-market-united-kingdom-key-players/Dataset updatedSep 24, 2024Time period covered2022Area coveredUnited KingdomDescriptionIn 2022, 27 percent of the bike sharing market in the United Kingdom (U.K.) was held by the Estonian mobility company Bolt. Bolt, Lime and Voi, the top three brands in the bike sharing market alone, account for 60 percent bike sharing market in the UK.
London Bike Sharing System
- kaggle.com
Updated Jan 15, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteEden Au (2019). London Bike Sharing System [Dataset]. https://www.kaggle.com/edenau/london-bike-sharing-system-data/activityCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 15, 2019Dataset provided byKaggleAuthorsEden AuLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyArea coveredLondonDescriptionContext
Bike sharing systems have become popular means of travel in recent years, providing a green and flexible transportation scheme to citizens in metropolitan areas. Many governments in the world have seen this as an innovative strategy that could potentially bring a number of societal benefits. For instance, it could reduce the use of automobiles and hence reduce greenhouse gas emission and alleviate traffic congestion in city centres.
Reports have shown that 77% of Londoners agree that cycling is the fastest way to make short-distance journeys. In the long run, it might also help increase the life expectancy in the city.
Check out my article for more information.
Content
A 36-day record of journeys made from 1 August to 13 September 2017 in London bike sharing system were recorded. During this period, there were >1.5 million journeys made among >700 bike docking stations in London.
Acknowledgements
Special thanks to Transport for London (TfL).
Inspiration
- Data visualization
- System optimization
- Bike flow prediction
Transport for London average bicycle hire time 2016-2019
- statista.com
Updated Oct 12, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStatista (2022). Transport for London average bicycle hire time 2016-2019 [Dataset]. https://www.statista.com/statistics/412561/transport-for-london-average-bicycle-hire-time/Dataset updatedOct 12, 2022Time period coveredJan 2016 - Oct 2019Area coveredUnited KingdomDescriptionThe average duration for a Transport for London bicycle hire fluctuated between 17 to 22 minutes in 2019, with users generally spending more time on their bike in the summer months. July 2016 and July 2018 saw the most time spent on a single ride, at 23 minutes.
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘London bike sharing dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/hmavrodiev/london-bike-sharing-dataset on 28 January 2022.
--- Dataset description provided by original source is as follows ---
License
These licence terms and conditions apply to TfL's free transport data service and are based on version 2.0 of the Open Government Licence with specific amendments for Transport for London (the "Licence"). TfL may at any time revise this Licence without notice. It is up to you ("You") to regularly review the Licence, which will be available on this website, in case there are any changes. Your continued use of the transport data feeds You have opted to receive ("Information") after a change has been made to the Licence will be treated as Your acceptance of that change.
Using Information under this Licence TfL grants You a worldwide, royalty-free, perpetual, non-exclusive Licence to use the Information subject to the conditions below (as varied from time to time).
This Licence does not affect Your freedom under fair dealing or fair use or any other copyright or database right exceptions and limitations.
This Licence shall apply from the date of registration and shall continue for the period the Information is provided to You or You breach the Licence.
Rights You are free to:
Copy, publish, distribute and transmit the Information Adapt the Information and Exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in Your own product or application Requirements You must, where You do any of the above:
Acknowledge TfL as the source of the Information by including the following attribution statement 'Powered by TfL Open Data' Acknowledge that this Information contains Ordnance Survey derived data by including the following attribution statement: 'Contains OS data © Crown copyright and database rights 2016' and Geomni UK Map data © and database rights [2019] Ensure our intellectual property rights, including all logos, design rights, patents and trademarks, are protected by following our design and branding guidelines Limit traffic requests up to a maximum of 300 calls per minute per data feed. TfL reserves the right to throttle or limit access to feeds when it is believed the overall service is being degraded by excessive use and Ensure the information You provide on registration is accurate These are important conditions of this Licence and if You fail to comply with them the rights granted to You under this Licence, or any similar licence granted by TfL, will end automatically.
Exemptions This Licence does not:
Transfer any intellectual property rights in the Information to You or any third party Include personal data in the Information Provide any rights to use the Information after this Licence has ended Provide any rights to use any other intellectual property rights, including patents, trade marks, and design rights or permit You to: Use data from the Oyster, Congestion Charging and Santander Cycles websites to populate or update any other software or database or Use any automated system, software or process to extract content and/or data, including trawling, data mining and screen scraping in relation to the Oyster, Congestion Charging and Santander Cycles websites, except where expressly permitted under a written licence agreement with TfL. These are important conditions of this Licence and, if You fail to comply with them, the rights granted to You under this Licence, or any similar licence granted by TfL, will end automatically.
Non-endorsement This Licence does not grant You any right to use the Information in a way that suggests any official status or that TfL endorses You or Your use of the Information.
Context
The purpose is to try predict the future bike shares.
Content
The data is acquired from 3 sources:
- Https://cycling.data.tfl.gov.uk/ 'Contains OS data © Crown copyright and database rights 2016' and Geomni UK Map data © and database rights [2019] 'Powered by TfL Open Data'
- freemeteo.com - weather data
- https://www.gov.uk/bank-holidays
From 1/1/2015 to 31/12/2016
The data from cycling dataset is grouped by "Start time", this represent the count of new bike shares grouped by hour. The long duration shares are not taken in the count.
Metadata:
"timestamp" - timestamp field for grouping the data
"cnt" - the count of a new bike shares
"t1" - real temperature in C
"t2" - temperature in C "feels like"
"hum" - humidity in percentage
"wind_speed" - wind speed in km/h
"weather_code" - category of the weather
"is_holiday" - boolean field - 1 holiday / 0 non holiday
"is_weekend" - boolean field - 1 if the day is weekend
"season" - category field meteorological seasons: 0-spring ; 1-summer; 2-fall; 3-winter.
"weathe_code" category description:
1 = Clear ; mostly clear but have some values with haze/fog/patches of fog/ fog in vicinity
2 = scattered clouds / few clouds
3 = Broken clouds
4 = Cloudy
7 = Rain/ light Rain shower/ Light rain
10 = rain with thunderstorm
26 = snowfall
94 = Freezing Fog
--- Original source retains full ownership of the source dataset ---