Open Data i Transport Públic

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Open Data & Public Transit Esteve Almirall esteve.almirall@esade,edu blog estevealmirall.com

Transcript of Open Data i Transport Públic

Open Data & Public Transit

Esteve 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

www.AreYouSafeDC.com

Subsequent Innovation

www.AreYouSafeDC.com

Subsequent 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

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③  strategy

Coordination in the platforms

Is there a better way ?

Where is the coordination ?

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 [email protected]