Delivering Better Transport with Data - University of …...1 Delivering Better Transport with Data...
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1 Delivering Better Transport with Data Rail and Underground Lauren Sager Weinstein Chief Data Officer, Technology & Data Transport for London
Transcript of Delivering Better Transport with Data - University of …...1 Delivering Better Transport with Data...
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DeliveringBetterTransportwithData
RailandUnderground
LaurenSagerWeinsteinChiefDataOfficer,Technology&DataTransportforLondon
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• 1,579km2
• 8.8mresidentsandgrowing
• 32mjourneystagesperday
• 75percentofallUKrailjourneysstartorendinLondonorsoutheast
London
TRANSPORTFORLONDON
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Ourpublictransportnetwork
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Ourresponsibilities
TRANSPORTFORLONDON
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OurPurpose
• TodeliverfortheMayor
• KeepLondonworkingandgrowingandmakelifebetter
• EveryJourneyMatters
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Wearedatarich
12millionANPRregistrationplatesfromthe1600camerasacrossourroadnetwork
19millionsmartcardticketingtransactionsadayfrom12millionactivecards
15,000SCOOTdetectorscreating5.2bn records
4.5millionibus geo-locatedevents
650,000tfl.gov.ukwebsitevisits
250,000dailytrainlocationandeventdatafromNETMIS
500,000rows oftraindiagnosticdataontheCentralLinealone
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DATAITSELFISNOTENOUGH
• Transformingdataintointelligencetodriveimprovement
• Puttingourcustomersattheheartofwhatwedo
• Improvingouroperations&safety
• Supportingnewcapacity&growth
Wemustmakeituseful
And dataprivacyisfundamental
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Advisingcustomersontraveloptions
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OriginDestinationInterchangeTool(ODX)
CapacityPlanning BusinessIntelligence
Busboardingentrytaps
Othermodaltaps
Buslocationdata
Patternrecognitionandbusinesslogic
Matrixtoinferourpublictransportjourneys
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ODXtoImproveourNetwork
• RoadsModernisationProgramme• makingLondon'sbusiestjunctions
saferandmoreattractiveforvulnerableroadusers
• ODXusedtounderstandcustomers’interchangemovements• HighburyandIslington• Archway• OldStreet• Toidentifywhetherandwhereto
relocatebusstops
11ExploringnewopportunitiesfordataBytransformingpseudonymised WiFi connectiondataintomovementscouldthis helpus
▪ Providebetterinformationtocustomersforjourneyplanningandavoidingcongestion?
▪ Operateandmanageourstationsbetter?
▪ Plan timetables,upgradesetc.moreefficiently?
▪ Bymeasuringfootfall,couldwegenerateadditionalincometoreinvestinourservices?
http://
Privacyapproach Communications Sharingresults
content.tfl.gov.uk/review-tfl-wifi-pilot.pdf
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Datawasdepersonalisedandanalysed
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Toidentifybusystationsandtrains
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Tohighlightcustomermovements
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Andmeasureresponsestodisruptionthatcanhelpouroperations
Walk times increased fromthree minutes at 18:00 tomorethan 10 minutes at18:30because of congestion
18:00 18:15 18:30
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MyBigDataPrinciples
• Programmeofworktargetedtoour purpose and priorities
• Focusontherightquestionsandtheproblemsyouface.Interestingisnotenoughanddon'tstartwiththedata.
Asa[myjobtitle]Ineed[bigdatainsights]
SothatIcan[makeadecisionmyjobexpectsmeto]
