howto build open_data_ecosystems_smart_cities_european experience

http://www..ccitizenexperience.es@aabella@aabella

How to build Open data Ecosystems for Smart Cities:European experience

Alberto Abella@aabella


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Smart City Ecosystem

An Strategic open data plan

EU Smart city Ecosystems

Examples

4 Apps4EU

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2

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Success factors Smart cities

Ogov passive vs active

Citizen Experience

Trends

4 Data reuse: MELODA


Smart city Ecosystem

Source: Abella, Ortiz-de-Urbina and De Pablos (2015)


Agenda - 4 items

Dataset inventoryDataset inventory

Owners, legal conditions, updating, responsibilitiesOwners, legal conditions, updating, responsibilities

Best practicesBest practices

Lessons learnt all over EULessons learnt all over EU

SustainabilitySustainability

Savings and incomes (direct and indirect)Savings and incomes (direct and indirect)

PromotionPromotion

Nurturing and Supporting the ecosystemNurturing and Supporting the ecosystem

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A strategic open data plan

Existing and potential businessesExisting and potential businesses

Check what datasets could be useful for business. Ask ecosystem.Check what datasets could be useful for business. Ask ecosystem.55


Starters- Mature - AdvanceStarters- Mature - Advance

● Different ecosystems' size

● Different stages

● Different ecosystems' size

● Different stages

Ecosystem's populationsEcosystem's populations

EU Smart cities ecosystems

City #AppsHelsinki 110London 52Bologne 35Zaragoza 33Zurich 33Berlin 24Amsterdam 22Liverpool 22Milano 4Marseille 4Malaga 3Strasbourg 2



Agenda - 4 items

Timeliness AppsTimeliness Apps

61 % Apps were real-time61 % Apps were real-time

Geolocated AppsGeolocated Apps

74 % Apps provide geolocated information74 % Apps provide geolocated information

CreatorsCreators

44 % Apps City. 26% Developers 14% SME 14% unidentified44 % Apps City. 26% Developers 14% SME 14% unidentified

Hot topicsHot topics

Transport 37 % Other (Tourism) 26%Transport 37 % Other (Tourism) 26%

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EU Smart cities ecosystems




Madrid:● 380.000 fines published● Amount, type, location, etc

Madrid:● 380.000 fines published● Amount, type, location, etc



Barcelona: ● 100.000 to 500.000 downloads● Based on data released by Barcelona Smart city● Successful competitor (single developer)

Barcelona: ● 100.000 to 500.000 downloads● Based on data released by Barcelona Smart city● Successful competitor (single developer)


Force Field Analysis

Lessons learnt (2012-15)

Incubators not investors1

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3*

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3*E

cosy

ste

m

po

pu

late

d

…

Apps4EU

Data standardization

Business Lounge

Online competitions

Support & promotion

Update data sources


The open circle

Release infoProfit from release

No return

Open circlesOpen circles

● Roads (2194 €)

● High Speed train (3561 M€)

● Wikipedia 58.5 M€

No impact model, just political impulse

● Roads (2194 €)

● High Speed train (3561 M€)

● Wikipedia 58.5 M€

No impact model, just political impulse


Change in data licensing terms CHANGE IN LICENSING TERMS IN SPAIN IN OPEN DATASETS

Copyright and restrictive licensing Commercial & only attribution0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

84%

16%12%

88%

2011

2013

Source: Abella (2013)


Success factors in Smart cities

External

Social capital

SMART CITY

Internal

Infrastructure and ICT

Governance

Economy (competitiveness)

Civic Engagement

Human capital

Environmental Sustainability

Source : Kogan 2014


Success factors in Smart cities

Source : Kogan 2014

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1 OGOV Active Passive

2 Goals Service’s improvementHaving lots of people in well designed sites

3 Participants Representative citizens’ sample Those willing to participate

4 Info. Release Actual demand and useAuthorities’ interests and availability

5 Timeliness ASAP Once reviewed

6 Applications Ecosystem of developers Own development

7 Participation Commitment to answer Just open

8 Training In place No (just principles)

Breaking Set (Adding new ideas)Open government passive vs active



New Standards

10 Dimensions

POLITICAL DOMAIN TECHNICAL DOMAIN

Strategy and political dimension Availability dimension

LEGAL DOMAIN Access dimension

Legal Domain Data quality dimension

ORGANISATIONAL DOMAIN Updating dimension

Organisational dimension SOCIAL AND ECONOMIC DOMAIN

Assessment dimension Reuse dimension

Participation and collaboration dimension

Smart Cities Open data. AENOR 178301:2015.Smart Cities Open data. AENOR 178301:2015.


Citizen Experience

Analysis 1/5Analysis 1/5

Benchmark:Bestpractices

Quantitative

Sampling

Detect statistically sound user needs inorder to define features of the service

QualitativeFocus group

and interviews

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Citizen Experience

Design experience 2/5Design experience 2/5

● Involving agents and stakeholders in services ● Redesign● Co-design

● Involving agents and stakeholders in services ● Redesign● Co-design

http://www.braintrust-cs.com/metodologias/citizen-experience/ciclo-de-vida-de-la-experiencia


Citizen Experience

Modelling experience 3/5Modelling experience 3/5

● Statistical approach● Statistical approach

SERVICE experience

Innovation

SaveTime

Trust

Stage impact on attribute

Channel impact on attribute

TOUCHPOINTS

Office Call Center … ATM

Discover Brand

Use of services

Discover Brand

…. … … … …

Finishing

LIFECYCLE PHASE

Driver 1 (x %)

Driver 3 (z %)

Driver 2 (y %)

Driver 4 (t %)

Driver 5 (a %)

Driver 6 (b %)

Attribute

Driver For every attribute of experience


Citizen Experience

Implementation 4/5Implementation 4/5

● Phases● Gantt

● Phases● Gantt


Citizen Experience

Governance 5/5Governance 5/5

● Stable centre: User Test Centre ● Automatic report

● Stable centre: User Test Centre ● Automatic report

KPI database

Input formsDesign of the input forms about operative data on the KPI of Citizen Experience

Repository of indicatorsDesign of the data model. Use of ETL and visualization tools Periodic routines of exportation

ScorecardVisualization about current situation and KPI of Citizen experience evolution


Metric reLeasing Open DAtaMetric reLeasing Open DAta

● Quantifies reusability of data sources

•Related with reuse

•Related with value creation

● Quantifies reusability of data sources

•Related with reuse

•Related with value creation

MELODA MELODA

● http://meloda.org● http://meloda.org

Data reusabilty : MELODA


Questions & AnswersQuestions & Answers


Thanks

Alberto Abella @aabella

Consultancy: [email protected]

Academia: [email protected]

http://twitter.com/aabella

mailto:[email protected]

mailto:[email protected]

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