Closing plenary and keynote from Lauren Sager Weinstein
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Host: Andy McGregor, deputy chief innovation officer, Jisc. Keynote speaker: Lauren Seger Weinstein, chief data officer at Transport for London. In our final plenary, we'll hear from Lauren Sager Weinstein. We'll also be announcing the winners of our edtech start-up competition, as we bring Digifest to a close.
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Closing plenary and keynote from Lauren Sager Weinstein
- 1. Welcome to Digifest Closing plenary and keynote
- 2. Andy McGregor Deputy chief innovation officer, Jisc
- 3. EdTech start-ups competition winners Winners of the public vote: Wildfire Further teams entering the project: Hubbub Lumici Slate Ublend VineUp
- 4. Lauren Sager Weinstein Chief data officer atTransport for London
- 8. 4 What our customers want To understand what we stand for Value for Money Progress & Innovation Trust Excellent reliability and customer experience This guides everything we do
- 11. 7 A sample of some of the data we collect and transform on a typical day 12 million ANPR registration plates from the 1600 cameras across our road network 19 million smartcard ticketing transactions a day from 12 million active cards 15,000 SCOOT detectors creating 5.2bn records 4.5 million ibus geo- located events 650,000 tfl.gov.uk website visits 250,000 daily train location and event datafrom NETMIS 500,000 rows of train diagnostic data on the Central Line alone
- 14. 10 Integrated travel information Over 20 million users a month (83 per cent of Londoners) use www.tfl.gov.uk Millions of tailored emails 600 travel apps powered by our open data and used by 42 per cent of Londoners Over 4.5 million social media followers Events and works/closure information Personalised customer service
- 15. 11 Advising customers on travel options
- 16. 12 Understanding Customer patterns 36% 30% 18% 16% B aker S treet - C lus ter S izes 1 2 3 4 Cluster Description Median Start Time Journeys / travelled day # of Regular Days # of Irregular Days 1 Regular Frequent User 08:11 2.5 11.6 4.6 2 Occasional User (Resident) 12:53 1.9 2.5 3.6 3 Irregular Frequent User 11:50 2.6 4.1 12.1 4 Occasional User (Visitor) 11:01 3.4 1.9 2.0 Analysis helps us plan ticket facilities, signage and commercial offering.
- 18. 14 Major disruption recorded Or Planned works Operational Research team undertake analysis and pattern matching to identify customers We automatically refund our customers – no need to apply Automatically refunding customers Our Action Customer Benefit TfL Benefit Fewer calls to Contact Centre
- 21. 17 Intelligent Resource Deployment • Using data and analysis to – Understand groups at risk – Understand locations and hotspots – Understand the causes • Applying analysis and techniques to deploy a range of resources • Applies to recovery vehicles, staff, and enforcement teams
- 22. 18 ANPR cameras SCOOT Automatic Traffic Counters Innovative algorithms & computing Real-time detailed view of traffic behaviour on our network Data fusion Outputs Existing on-street sensors Real Time Operations
- 25. 21 ODX in practice Major bridge closure Capacity Planning Business Intelligence Interchange AnalysisTravelcard apportionment
- 28. 24 We are industry leaders in a number of areas Ticketing Integrated travel information Innovative bus technology LU mobile working WiFi on the Tube
- 38. 34
- 44. Thanks to our sponsors and partners and all our exhibitors too
Notas do Editor
- When a users device is near one of our station WiFi access points and the device has WiFi enabled, the device will request to connect which will be received by our WiFi network, even if your device does not subsequently connect. Data is collected regardless of whether the user is connected or signed-up We do not have access to users browsing history so can not see what sites they visit
- STEAM – Science Technology, Engineering, Arts and Maths
- STEAM – Science Technology, Engineering, Arts and Maths
- Partnership with Institute for Research in Schools (IRIS) – workshop in summer 2016 with secondary school teachers to get feedback our initial resources The resources were also used at the Science Museum Lates event in August 2016 – e.g. interactive dashboards using ticketing data, interactive Oyster quiz now also available in Powerpoint Snap! visual programming enables children to create their own programs using drag and drop components and visualise live information streamed from our API.