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Open Data &
Public TransitEsteve Almirall
esteve.almirall@esade,edu
blog estevealmirall.com
1 problem
3 strategies
1 why ?
1 problem
3 strategies
1 why ?
Urban
Population
0.96
2011 2030
1.06
2.67 3.92
More
Developed
Less
Developed
• 90% urban
growth =
developing
countries
• 65 million new
residents /
year
Source: United Nations, Department of Economic and Social Affairs, Population Division (2012). World Urbanization Prospects: The 2011
Revision
Fewer than 500,000
500,000 - 5,000,000
More than 5,000,000
50% will live in
small cities
51%
18%
31%
Source: United Nations, Department of Economic and Social Affairs, Population Division (2012). World Urbanization Prospects: The 2011
Revision
Increasing demand for services –
quantity – diversity and quality
Technology -- -- Smart Cities
CITIZENS
Decreasing budgets
GOVERNMENTS
- govs. -
Service
providers
Ecosystem
managers
resource assignment
(zero sum game)
resources as a lever
(non zero sum game)
1 problem
3 strategies
1 why ?
①  strategy
Open Data
2008 – The problem
Vivek Kundra, former CTO
of Washington DC (now
Federal CIO), needed to
make DC’s Open Data
Catalog useful.
The Old Way
1.0
you know
the way it’s done now
The New Way
Open Data
+
2.0 -> Citizen talent
+
Fame and fortune
=
?
Fame &
Fortune
Year 1 Results
47 web, iPhone & Facebook apps
$2,300,000+ Estimated value
$50,000 in cost
+4000% ROI
Subsequent InnovationSubsequent Innovation
http://www.youtube.com/watch?v=URmKRTU-hxQ&feature=youtu.be
Gov 2.0 Expo 2010: Joshua Robin, "Unlocking Real-Time Data"
Open Data
- success story 2 -
unexpected results when
sharing data in Public
transportation
Portland - Oregon
Sleep soundly.
The iNap app will wake snoozing commuters as
their stop approaches.
Predict arrival.
The city doesn't provide live GPS tracking of its
trains and buses, but the app ArrivalTracker
uses an algorithm and city API data to predict
arrival times fairly well.
Portland's Tri-County Metropolitan
Transportation District was one of the first to
release actionable data, way back in 2008.
Fast Company, October 2011
unexpected results when
sharing data in Public
transportation
Boston
 Crowdsource trouble.
OpenMBTA searches Twitter to relay what
problems riders are reporting.
Hear it straight.
How Fucked Is the T? bluntly sums up the
state of each subway line like a native
Bostonian would. Sample: If the Orange
Line's average wait time is 5.5 minutes, the
line "might be a little fucked.”
Massachusetts has more than 200 mobile
startups, which have developed dozens of
transit apps for navigating the finicky
Massachusetts Bay Transportation
Authority.
Fast Company, October 2011
unexpected results when
sharing data in Public
transportation
New York
Fast Company, October 2011
Come and go efficiently.
Exit Strategy NYC lets subway riders fulfill
the eternal Gotham need: leave and enter
stations at the most convenient staircases.
The Metropolitan Transportation Authority
has released limited data, so app
development is slow. But that may change.
The MTA's App Quest contest will give a
combined $15,000 in prizes to transit app
developers. Winners are announced
November 1.
②  strategy
Users as sensors
35	
  
37	
  
38	
  
39	
  
40	
  
41	
  
③  strategy
Coordination in
the platforms
Is there a
better
way ?
Where
is the
coordin
ation ?
3.5€ + 0.45€ /km
1 problem
3 strategies
1 why ?
- govs -Service
Providers
Ecosystem
Managers
available resources
(zero sum game)
resources as a lever
(network effects & externalities)
- govs. -
Service
Providers
Ecosystem
Managers
developed in-house
always fall short
high-cost
no sharing
local offer
fragmented
co-developed
with users, communities
free and not-free
empowering entrepreneurship
driven by innovation
stimulating growth
esteve almirall
esteve.almirall@esade.edu

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