Estratègies Open Data a 6 ciutats
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Open Data Strategies in public transportation Sybille Berjoan ACCENTURE
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Transcript of Estratègies Open Data a 6 ciutats
Open Data Strategies in public transportation Sybille Berjoan ACCENTURE
Copyright © 2015 Accenture All rights reserved.
Getting full value from Big Data and analytics requires two steps – collect & measure, visualize & analyze - to enable actions and reach outcomes
VISUALISE & ANALYZE
ANALYTICS ACT Analytics
Engine
COLLECT & MEASURE
ACTION &
OUTCOMES
INSIGHT
Source : Accenture Analysis
DATA
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Presenter
Presentation Notes
This steering wheel must be paralleled with the notions developed on the virtuous scale : journey to ROI … we showed previously that analytics was driving us to insights and actions … Analytics is a motor where data is collected, measured on different levels, business to business on operational centers, or business to customer through applications customer oriented. The first use of data is producing insights such as visual decision tools and dashboard. This is the reason why these two notions are making the steering wheel. This steering wheel conduces us toward ROI with an action and outcomes step… First we will see what data we need to collect and where is data available through an Accenture research study on open data available today Then we will make focus on actions driven by assets analytics, an customer centric analytics
Copyright © 2015 Accenture All rights reserved.
Deriving insight from data requires first to study the typologies of Open data
Mapping data
Geo localized data:
bus stop, hubs, stations
…
Network &
Product description
data Fare, names of
operators, process description
… Statistics data
Monthly, yearly passenger
counts, distance travelled
…
Real time data
Data delivered instantly or by
stream, live traffic images, real time
arrivals …
The different categories of available transportation open data: Open data research protocol
Geographical scope 6 cities: Paris, New York, London, Singapore, Toronto, Madrid Sources: Public Transport authorities web site Open data government web site Analyses: • By types of data or categories
(#4) • By modes: bus, metro, cycling,
river, road • By format (XLS, PDF, XML,
JSON, SHAPE, GFTS …)
Research period: April 2013 & May 2014 Source: Accenture Research analysis based on public information
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Presentation Notes
To derive insights from data, Public transport players can rely on internal competencies, thanks to their own production of data or on external competencies through a better leverage of open data. Accenture research made a study on data available on open access: what are the sources of data, what kind of data is available ? Any one can collect data from public transport authorities web site and open data governments web site and it’s what we did, comparing quality and quantity of information available in cities around the world as Paris, NYC, London, Singapore Toronto and Madrid. We sorted data available into four categories, the ones linked to network product , which mean descriptive data : fare, timetable, name of the product, rules of use …. Second category is geographical data such as map, bus stop geocode, streets … Third category we have statistical data : monthly, yearly, day count for passengers, distance travelled … Eventually last category is Real time information instantly delivered every seconds, or minutes sometimes: it can be images from highway traffic camera, real time arrivals, real time traffic incidents or works… Of course all these data are not delivered all modes, so we identified which mode have what kind of data available. For example do we have maps available for bus, bike, subway network everywhere ? Do we have instant stats on bus arrivals, availability of bikes in a station, live traffic images … Some PTA have a specific policy on that subject : Some deliver a lot of statistic information and no Real time date : Paris … Some deliver all kinds of statistics but dedicated to one or two modes: Singapore deliver many statistical data on traffic
Copyright © 2015 Accenture All rights reserved.
159
252 +58%
Source: Accenture Research analysis based on public information
Data sets available (comparison 2013/2014)
Distribution and progression of data sets
by categories
Number of data sets available in free access is still growing. The statistical and geographical data are the most common
GEO STATS INFO REAL TIME
+53% +26%
+27%
+103%
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TR = 13% of total number ; API = programing interface (generaly refered to as API for Application Programming Interface) is a standard set of classes, methods or functions that serves as interface to provide software services to other software. It is offered by a software library or web service, usually accompanied by a description that specifies how consumer programs can use the features coming from the program provider. 2 API for Paris ! Velib & Transilien
Copyright © 2015 Accenture All rights reserved.
Singapore and London remain the most active, yet we observed a strengthening of the access controls by authentication
Source: Accenture Research analysis based on public information
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6 16 26 36 46 56 66 76 86 96
Num
ber o
f rea
l tim
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ta se
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pene
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Number of Data sets opened
Opening of mobility data in 2013 versus 2014
Easy access
Constrained access
2013
2014
London
New York
Singapore
Paris
Madrid Toronto
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Presentation Notes
Londres Process for access controls, new API and widget Singapour Strong progression of available statistic and geographic data New York Upload of scoreboard (51KPI) Paris Open access to real time data for Transilien and self service bikes Toronto Provision of geographic data, no control to access MadridData not available without previous registration, proposal for Widget http://www.mytransport.sg/content/mytransport/home/dataMall.html#Public_Transport_Related Camera singapour http://www. mytransport.sg/content/mytransport/home/myconcierge/trafficcameras.html
Copyright © 2015 Accenture All rights reserved.
Some complementary lessons…
A variable accessibility of the data: portal versus a constellation of web sites.
Access to data
Xls and Pdf are frequently used for statistical data
Wide variety of formats, yet predominance of Shape, XML et CSV
GFTS has a strong presence in NYC and Toronto. It is choice for only some datasets in Madrid and Paris
Format
API 18% of the data are available through an API
60% of real time data are available through an API
Source: Accenture Research analysis based on public information
010203040506070
data format
Num
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a se
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Data format (Toronto, New York, London, Paris, Madrid, Singapore)
May 2014
6
C
Copyright © 2015 Accenture All rights reserved.
Lessons learned to best leverage open data
Create a community Guide developers on how to use the data Make sure Open data is part of the standard practice
Encourage customer applications (eg: journey planners) but also think
about the potential for network management
Dedicate resources to this project
Source : Accenture Research Analysis based on Vernon Everitt , TfL, Presented on the 20th of February 2014 , UITP Karlsruhe
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Presentation Notes
http://blog.tfl.gov.uk/2014/03/12/why-a-new-website-but-no-app-part-2/ ( no access to Oyster)
THANK YOU!
QUESTIONS?
For more details on the study, please contact Sybille Berjoan
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