Site Fault Management assets. Derived from TTS_MAP table view of SFM extracted from Production SFM: Dual Pelican, Dual Toucan (pedestrians and cycles), dual puffin, Pedestrian, Pelican, Puffin, Toucan.TotalTTS shows SFM sites as points (in service and proposed). Data owner : SFM, Asset Management. Please refer to the "Extract Date" attributes in the data table for the last updated date

This dataset contains information about the number of people who entered and exited various London Underground stations each year from 2007 to 2021. It also includes the lines that serve each station, the network they belong to (London Underground, Elizabeth Line, London Overground, DLR), and whether the station is part of the Night Tube service. The dataset contains information for 435 stations and 8 lines.

This data could be helpful for analyzing usage patterns, identifying trends over time, and predicting future demand. Potential users of this dataset might include transportation planners, researchers, and data analysts interested in public transit systems.

Content This dataset contains 18 columns and 435 rows, explained as follows:

• NLC: National Location Code of the station
• Station: The name of the station
• En/Ex 20xx: The number of total entries and exits for a given station in the year, from 2007 to 2021.
• LINES: States all the TfL lines that operate at a given station.
• NETWORK: States whether the station is part of the London Underground.
• London Underground / Elizabeth Line / London Overground / DLR: States whether this station is part of the stated Network.
• Night Tube?: States whether a station is part of the Tube and London Overground Night Service operating on Friday and Saturday nights.

Transport for London's (TFL) Public Transport Accessibility Levels (PTALs)

PTALS are a detailed and accurate measure of the accessibility of a point to the public transport network, taking into account walk access time and service availability. The method is essentially a way of measuring the density of the public transport network at any location within Greater London.

Each ares is graded between 0 and 6b, where a score of 0 is very poor access to public transport, and 6b is excellent access to public transport.

The current methodology was developed in 1992, by the London Borough of Hammersmith and Fulham. The model has been thoroughly reviewed and tested, and has been agreed by the London Borough-led PTAL development group as the most appropriate for use across London.

The measure therefore reflects:

• • Walking time from the point-of interest to the public transport access points;
• • The reliability of the service modes available;
• • The number of services available within the catchment; and
• • The level of service at the public transport access points - i.e. average waiting time.

It does not consider:

• • The speed or utility of accessible services;
• • Crowding, including the ability to board services; or,
• • Ease of interchange.

The PTAL methodology was developed for London where a dense integrated public transport network means that nearly all destinations can be reached within a reasonable amount of time. Research using the ATOS (Access to Opportunities and Services) methodology shows that there is a strong correlation between PTALs and the time taken to reach key services – i.e. high PTAL areas generally have good access to services and low PTAL areas have poor access to services.

Notes

6-digit references identify 100m grid squares.

The 2012 CSV file previously available on the Datastore is now only available via the TfL feeds page.

The 2014 files are available to download below. This includes the GIS contour files.

Current PTAL values can be viewed at TfL’s web site: www.webptals.org.uk

The GLA has calculated the percentage of population for each ward, LSOA, MSOA and borough within each PTAL. The files for 2014 are available below. The method used mapped the number of addresses (using Ordinance Survey AddressBase Plus, and 2011 Census London Output Areas boundaries).

TFL also publish on their website a tool that shows travel time and PTAL maps from any point within London. Click anywhere on the map or input a postcode to change the selected location.

showing location of roads maintained by TFL

The station location feed is a geo-coded KML feed of most of London Underground, DLR and London Overground stations.

Station facilities and access information is also provided. All stations are marked with the TfL roundel.

Find out more about the feeds available from Transport for London here

TfL Live bus arrivals (released in October 2011), is the largest real-time bus arrival information system in the world. It allows customers to view live arrival information for the 19,000 bus stops in London via web, mobile web and SMS. This API gives registered developers access to a scalable feed of the same real-time data used by the online Live bus arrival service. Note: Using unsupported channels to source the data severely affects TFL's ability to support customers using the website during peak hours. It also contravenes the terms of use. TFL are unable to endorse or promote individual apps based on the feed, as part of this process. To register for the API, and for the terms and conditions, visit the TfL Developers’ Area. Some ideas Apps developers can add this data to their travel tools: The 'Bus stops near you' location services can be refined using device-optimised applications Use the data to develop apps for visually impaired passengers Allow passengers to view the predicted arrival times (for the next 30 minutes) for a chosen bus route Venue owners could include their bus stop code with their listing details, allowing customers to easily find nearby bus stops

TfL's operates one of the largest bus networks in the world consisting of over 19,000 bus stops and approximately 700 routes served by some 8000 buses daily. This datafile defines the network in terms of routes and stops and stop-sequences allowing third parties to accurately locate bus stops and to plot bus routes and services. Find out more about the feeds available from Transport for London. The live data is only available following registration with TFL. See TFL feeds page for more information.

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

Multimodal working timetable data from the TfL Journey Planner, including Tube, Bus and DLR. Please note that this data is updated weekly (every Thursday morning) by Transport for London. You should check the TfL Developer portal for details of the latest data updates.

TfL's operates one of the largest bus networks in the world consisting of over 19,000 bus stops and approximately 700 routes served by some 8000 buses daily.

This datafile defines the network in terms of routes and stops and stop-sequences allowing third parties to accurately locate bus stops and to plot bus routes and services.

Find out more about the https://www.tfl.gov.uk/info-for/open-data-users/our-feeds">feeds available from Transport for London. The live data is only available following registration with TFL. See TFL feeds page for more information.

showing TfL cyclequietway routes

The London Streets Traffic Control Centre records and monitors accidents, incidents, road works and public events, which are likely to the impact the normal flow of traffic on London's busiest roads.

The Live Traffic Disruptions XML feed contains information about the location, nature, impact and timing of a range of disruptions being monitored by TfL's 24/7 traffic control centre. The feed comes direct from the control centre's information database and is updated every five minutes.

The feed contains a date and time stamp which should be used to check that the information is up-to-date and be displayed when publishing the information.

Some ideas...

• Each disruption event contains location coordinates, so any website offering travel information for customers could display the data, filtered for their geographic area of interest, on a map
• The information could be combined with TfL's Traffic Camera and Roadside Message sign data feeds to provide a complete picture of traffic along a route or in an area
• The data could be fed into an online road journey planner or mobile navigation system

The Rolling O&D survey (RODS) is a rolling programme to capture information about journeys on the LUL network. Warning: It is important to note that these data are reconciled to November counts and represent the number of people travelling on a typical (or average) weekday. Therefore, year-on-year RODS fluctuations do not necessarily reflect whole-year annual demand changes. Furthermore, these data are adjusted to remove the effect of any abnormal circumstances that may effect demand such as industrial action or long-term closures.The RODS dataset comprises information about: -Boarders and alighters by station, line, and time of day -Line loading by section, line, and time of day -Station flows by station and time of day -Origin-destination matrix by station, zone, and time of day -Route choice by origin-destination pair -Journeys involving interchange by zone, and number of interchanges -National Rail and DLR journeys to and from each LU station by zone and time of day -Total entries and exits by borough and time of day -Access and egress mode by entry/exit station, zone, and time of day -Age, gender, and mobility category split by entry/exit station, zone, and time of day -Average journey time by entry/exit station, zone, and time of day -Distance travelled by entry/exit station by zone, line, journey purpose, time of day, and ticket type -Journey frequency by entry/exit station, zone, journey purpose, time of day, and ticket type -Journey purpose by entry/exit station by zone, time of day, and ticket type -Ticket type by entry/exit station, zone, and time of dayPlease note that you will need to register (for free) as a data feed user on the TfL website to be able to access this information.Find out more about the feeds available from Transport for London here

Dial-a-Ride is a free door-to-door service for disabled and older people who can't use buses, trains or the Tube. Those eligible for membership have a permanent or long term disability which means they are unable or virtually unable to use mainstream public transport. This report details the usage for the specified quarterly, as well as the same quarter of the previous year, to allow for comparison.

There are a number of figures provided:

• The number of passengers registered to use the service
• The number of requests made for the service within the period
• The percentage of requests scheduled (accepted)
• The percentage of trips cancelled by passengers
• The percentage of trips cancelled owing to service (operational) reasons
• The number of completed trips

Find out more about the feeds available from Transport for London here

The live traffic camera feed provides images from 177 cameras at key sites across the Capital, showing what's happening on London's streets. All images are TfL branded, have a location description, and date and time-stamp. They are refreshed at least every three minutes. Individual feeds may be interrupted if there is a system fault or if a camera is being serviced. Images are not captured when a camera is in use for managing traffic, when a camera is being maintained or in the event of a camera or system fault. Some ideas for re-use include: Freight or delivery services could use the live feed to follow traffic traffic conditions and plan routes accordingly Radio stations could add a live camera feed to a traffic news page Organisations with staff intranets could add the traffic camera feed so people can plan their journeys home Find out more about the feeds available from Transport for London. The BBC use TFL camera images for the live camera feeds on their website. Visit the BBC website to see live camera images.

TfL has a network of over 130 roadside message signs, which provide drivers with information about local traffic disruptions. The signs are set by TfL's London Streets Traffic Control Centre.

The Live Roadside Message Signs XML feed comes direct from TfL's traffic control centre system and contains the location and live message on every sign currently displaying information in London.

The feed contains a date and time stamp which should be used to check that the information is up-to-date and be displayed when publishing the information.

Some ideas...

The information could be combined with TfL's Traffic Camera and Live Traffic Disruptions data feeds to provide a complete picture of traffic along a route or in an area

showing TfL cycle superhighway routes

Dataset

This dataset was created by Belayet HossainDS

Contents