Unified API: New data – Electric Vehicle Rapid Charging Points

Zero emission capable (ZEC) vehicles have environmental and financial benefits, and are vital to London becoming a zero carbon city by 2050. We are working with partners to develop a network to help you charge them quickly and efficiently.

Rapid charge points can charge an electric vehicle battery in 20-30 minutes. This is quicker than regular charge points that can take 7-8 hours for a full charge.

The majority of these charge points allow for pay as you go payment using a credit or debit card – you don’t need to be a member.

They allow high mileage users, such as electric taxi and private hire drivers and freight and fleet operators, to quickly charge their vehicle. We have committed to install 150 rapid charging points by the end of 2018 and have at least 300 by 2020.

Electric Vehicle Rapid Charge Point (ECP) data is supplied to us from a number of concessionaires who install and manage charge stations across the UK and Europe. These concessionaires include British Gas, Charge Master, FastNed, Bluepoint and ESB, although at present not all of them have facilities in the Greater London area.

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TfL continues to engage the developer community

Start-ups and SMEs can bring lots of value to large organisations and TfL is no exception. Through our open data activity, there are over 600 apps in London using TfL data with an incredible 13,700 registered users of our open data. This has generated an economic benefit of up to £130m per year in terms of customer, TfL and city wide value through new businesses being developed by using TfL’s open data.

It’s vital that TfL continues to engage with the app developer community, academics and others through promoting the right challenges, access to the right people and tools, and continually seeking feedback from our open data users. I know we do this through several channels such as the Tech Forum, events and this blog but I’m hoping that we do some more. So, it was great to be involved in two events this weekend:

At TfL, we’re committed to engaging with the developer community to continue to help with the creation of innovative travel tools

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New study quantifies value of open data to London

Further to the Shakespeare Review which used TfL’s open data activity as a case study in 2013, we asked Deloitte to carry out a more comprehensive study on the value of open data to our customers, users and London overall.

Northern ticket hall entrance to Kings Cross St. Pancras Underground station
There are more than 600 apps powered by TfL’s open data, and these are used by as much as 42% of Londoners.

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Developers – help us improve our open data

We’re holding a consultation into our Transparency Strategy, and we’d love to hear from you about how we can improve.

The Strategy covers our open data products, so we want to hear from the developer community about our Unified API and open data. We want to know how we can improve our products to give you regular, up to date and useful information, as well as the formats in which this data should be published.

We’re also keen to hear how you think this data should be grouped or presented on the TfL website, and whether we need to give further support to developers, stakeholders and researchers who use it.

The consultation is running for six weeks, from 18 September to 29 October.

While we always encourage comments to these blog posts, to make sure your voice is heard visit our Consultation website to have your say

 

Nitrous TfL Showcase Evening

Back in March I posted this blog about Nitrous and their accelerator programme, which was focusing on some key transport challenges, and asking for applications to the programme. This short video looks at some of the participants in the accelerator programme, filmed at the event at City Hall on Thursday 22 June, as guests were treated to an evening of presentations and networking. 

New open data: Busiest times at Blackwall Tunnel

The Blackwall Tunnel (A102) is one of the busiest places on London’s road network. In recent years, journey times have increased and drivers can expect delays to their journey at some times of day. We’ve released this data to the open data community, to enable developers to build the information into their products.  

Our data shows the busiest times at Blackwall Tunnel so developers can include this information in journey-planning apps

What our data shows

*Follow this link to find the data.

1)    The busiest time in the northbound tunnel on a weekday is from 07:00 – 07:30. In heavy traffic conditions, drivers’ journeys could be 15 minutes quicker if they travelled between 06.30-07.00 instead of 07:00 – 07:30.

2)    The busiest time in the northbound tunnel on a weekend is from 13.30 – 15.00. In heavy traffic conditions, drivers’ journeys could be 15 minutes quicker if they travelled between 12.00-13.00 instead of 13.30- 15.00.

We have made this data available to the open data community so you can use it to create products which display the busiest times at the tunnel, allowing drivers to choose to travel outside of these periods or create products for planning quicker and more reliable journeys.

Tell us what you think

We encourage the community to provide feedback on our new data sets to help us continue to enhance and improve our open data products. Please let us know your thoughts in the comments section below or on our tech forum.

Ticketmaster and TfL Hack Day

It was great to be part of London Tech Week through the excellent Hack Day on Friday June 16, put together by the teams at Ticketmaster and Transport for London. With over 600 apps powered by our data in the market place, I always look forward to these events as it allows me to raise awareness of TfL’s open data approach providing the opportunity for organisations and individuals to develop their own creative solutions.

This has helped to form new businesses, create jobs and launch new customer-facing travel products, giving customers more choice on their devices. A great part of this process is that this type of event is open to everyone at no cost, so we saw students, corporate professionals, freelancers, academics and participants from other sectors.


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