1 the role of geographic information for good governance joep crompvoets ku leuven eurosdr...
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The role of Geographic Information for good governance
Joep CrompvoetsKU LeuvenEuroSDR
Wageningen, 27 January 2015
Leuven
KU Leuven
Founded 1425
1968 – Split into KU Leuven – UC Louvain
KU Leuven - 16,000 Staff (incl. 8000 ‘medical’ staff)- 55,000 students (9900 foreign students)- Satellite campuses in Kortrijk Antwerp, Ghent, Bruges, Ostend, Geel, Diepenbeek, Aalst, Sint-Katelijne-Waver, Brussels- 3 Leuven Campus (Hospital, Science, Human)
Strong research-oriented
Numerous spin-offs
Famous Professors: Erasmus, Mercator, VesaliusFamous Alumnus: Herman Van Rompuy
– Not-for Profit Organisation (+ Member Organisation)– Linking National Mapping and Cadastral Agencies with
Research Institutes and Universities– Aim: Applied Research in Provision, Management and
Delivery of Spatial Data and Mapping Products– Technical structure:
• Commission 1: Sensors, Primary Data Acquisition and Georeferencing
• Commission 2: Image Analysis and Information Extraction • Commission 3: Production Systems and Processes • Commission 4: Data Specifications• Commission 5: Network Services
EuroSDR
European Spatial Data Research Network (EuroSDR)
http://eurosdr.net/
Scientific Meetings
Rolling Research Plan
Research Proposals Projects, Workshops, Taskforces
Reports
Engagement with Standards and Specifications Organisations
Official Publications and EduServ Courses
EuroSDR – Research & Dissemination
NMCAs ResearchOrganisations
+
Transferring Results of Research to Mapping / Production Domain
Mapping Agencies together with Research Institutes
Leading in Calibration and Validation Initiatives
EuroSDR – The network idea
• Form a network of GI experts within EuroSDR• Build and maintain alliances with neighbouring
organisations in GI research, development and practice:– EuroGeographics– ISPRS, ICA, FIG, AGILE, OGC– INSPIRE– JRC, OGC Europe, ISO TC 211, CEN TC 287– ...
Relevant topics
UAV
Cloud
Mobile Laser Scanning
Imaging Sensors
Mobile Mapping3D Cadastres
Smart City Automated Change Detection
Data ArchivingCrowd-SourcingOpen data
Open StandardsCity GML
Geospatial Web ServicesRegistries
Spatio-Time ModellingCoordination models
E-governance
Location EduServ pre-course seminars
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Year Host Organisation Country2002 Aalborg University, Aalborg Denmark2004 Budapest University, Budapest Hungary2005 Dublin Institute of Technology, Dublin Ireland2006 ITC, Enschede The Netherlands2007 Charles University, Prague Czech Republic2008 University of Applied Sciences, Stuttgart Germany2009 Norwegian University of Life Sciences, Ås Norway2010 KU Leuven, Leuven Belgium2011 ENSG, Paris France2012 Dublin Institute of Technology, Dublin Ireland2013 CISM, Udine Italy2014 Bruno Kessler Foundation, Trento Italy2015 Vienna University of technology Austria / Trento
EduServ Courses
• Integrated Sensor Orientation• Automatic Orientation of Aerial Images on Databases• Laser scanning & Airborne Interferometric SAR• Digital Cameras/Sensors• Co-ordinate Reference Systems and Transformations for Spatial Data Position• Positional Accuracy Improvement in GI Databases• Quality of Geospatial Data and Related Statistical Concepts• Mapping with SAR• Laserscanning for 3D city models• CityGML• Geometric performance of digital airborne cameras• Schema matching, mapping and• Laser scanning for Tree Extraction• Assessment of the quality of Digital Terrain Models• The INSPIRE Directive and its Implementing Rules• Geodetic Reference Systems• 3D Urban Modelling• Radiometric performance of Digital Photogrammetric Cameras and Laser Scanners• Open Standards & Open Source Web Mapping• Integrated use of airborne laser scanning and aerial photogrammetry• High Density Image Matching
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EduServ13
• Pre-course seminar– BEV, Vienna, 9-10 March 2015
– Local host: Michael Franzen
• e-learning courses:– Mapping using high-resolution satellite imagery (16 - 27 March 2015)
Daniela Poli, Terra Messflug GmbH
– Change detection in High-Resolution land use/cover geodatabases (7-17 April 2015) Clément Mallet, IGN France
– RPAS in land survey – theory and practice (27 April - 8 May 2015)Görres Grenzdörffer, University of Rostock, Michael Cramer, University of Stuttgart
– International standards for geographic information (8 -19 June 2015) Wolfgang Kresse, University of Applied Sciences, Neubrandenburg
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EduServ13 (spring 2015)
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12
Objectives Presentation
• Role of spatial data for good governance• Levels of good governance• Conditions for good governance• Propositions
• INSPIRE
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Expectation
• What do you expect from the lectures of today?
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1. Role of spatial data for good governance
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Trend of governance (OECD, EGPA)
• Open• Performance• Accountability/Control• Restructuring for fit for purpose• Market type mechanisms within public sector• Modernize personnel policies
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From good government to good governance
Criteria for good governance:• -performing policies and service delivery• -responsibility/accountability• -transparency• -rights and duties
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Performing policies and service delivery
Location target groups (Wevelgem)Location schools and services(Kortrijk region)
Waste Water (Deerlijk)Child care (Kuurne)
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Unoccupied houses (Wevelgem)
Impact Tour de France (Deerlijk) Roadworks (Wevelgem)
Cemetaries (Avelgem)
Levels of good governance
-Corporate Governance: GI Agencies / GI Users/Producers
-Holding Governance: Territorial/Functional
-Public Service Governance: Public, Private, NGO, citizen
-State Governance: Macro systems
Three systems:
NPM (market), NWS (Hierarchy), NPG (Networks)
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Macro/meso governance
Task allocation at the publicSector
What is the best task allocation scenario for GI-development?- Hierarchy- Market- Network
Private companies
NGO’s, citizenOrganisations
Supranational (incl. EU)
Sub-national (e.g. local)
National (nation) state
Private sector Public sector
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cen tra l gove rnmen t
agency A agency B
o rgan iza tion C organ iza tion D
Hierarchy
d irect con tro l (s tr ic t ex an te , s tructu ra l and financia l con tro l)
quasi-au toma tic coo rd ina tion be tween agencies and o rgan iza tions
pub lic secto r
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cen tra l g ove rn me n t
a ge ncy A a ge ncy B
o rga n iza tio n C o rga n iza tio n D
M arkets
in d irect co n tro l (ma in ly ex p ost co n tro l)
'ho r izon ta l' 'spo n tan e ou s' co o rd in a tio n be twee n a ge ncie s a nd o rga n iza tion s
marke t
ma rke t crea tion &re gu la tio n a nd b y g o ve rn me n t
p ub lic se cto r
23
cen tra l go ve rn men t
ag ency A ag ency B
o rga n iza tion C o rga n iza tion D
NetworkCo o rd in atio n = n e two rk manage me nt + in d ire ct co n tro l (ag e n cy A - N)
+ se lf-co o rd in atio n
ind ire ct co n tro l (ma in ly ex post con tro l)
'ho r izon ta l' 'sp on ta neo us ' coo rd ina tio n be tween age ncies a nd o rg an iza tions
ne two rk
ne two rk ma nage men t b y gove rnmen t
pu b lic secto r
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Spatial data infrastructures
A Spatial Data Infrastructure (SDI) is an • Shared network of organizations• to facilitate • the access, use and sharing of spatial data
25
SDI – network in Flanders (Belgium)
26
SDI-Flanders – network (2)
Perceelsnetwerk Adresnetwerk
Wegennetwerk Hydrografienetwerk
Parcels network Address network
Roads network Hydrography network
SDI – Chains
Process step
Organisation
A
B
C
F
E
D
H
G
I
Process step
Organisation
A
B
C
F
E
D
H
G
I
SDI-Flanders – Chain
Traffic accident registration
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2. Conditions for good governance
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GI-management development
Organisations with Databases with Databases Organisations
31
First SDI-condition for good governance
• Good governance requires:
A shift from
Organisations with databases
to
Databases with Organisations
Why is the obvious not obvious?
CBA of GI :
Costs: creating, transferring, collecting, processing, storing, making available, …
Benefits: comparing, registering change, improved decisions, better allocations, transparency, responsibility/accountability, learning, ...
CBA of the Performance of GI:
Costs: immediate, allocated to specific organisation (for us), budgeted, not conditional
Benefits: not always immediate, spread over organisations (for others), not always tangible, conditional
33
Supply and demand
• We technically have superior data and Geo Information
• What about its use?
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Bouckaert & Halligan (2008) Managing Performance, International Comparisons. Routledge, London, p. 113.
Avoid frustration: Shifting from supply (availability) feeding demand (needs) to demand generating supply
Supply and demand
35
SDI-Development + Community
Techno-CentricSpatial data community
Focus on technology Technology push Because it’s possible Others are developing Specified by technologist Static in nature
Techno-CentricSpatial data community
Focus on technology Technology push Because it’s possible Others are developing Specified by technologist Static in nature
Socio-TechnicalSpatial data community
People and technology Demand pull Because it’s needed We need it Specified by Users dynamic in nature
Socio-TechnicalSpatial data community
People and technology Demand pull Because it’s needed We need it Specified by Users dynamic in nature
36
Second SDI-condition for good governance
• Good governance requires:
Matching supply and demand -> more demand driven supply
37
Implementation
• Classical domino dynamics are sequential:
Technology/ Legislation/ Finance/ Organisation/ Service delivery
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SDI performance in the Flemish Region
geomatics
law
economics
sociology
public management
SDI-configuration
SDI-performance
access, use andexchange of spatialinformation in thebusiness process
+
contribution to business process
performance
standards
rules and agreements
funding and pricing
organisational structures
data policy
Spatial PlanningMapping FloodsTraffic accident registrationAddress Management
Performance results
Spatial Planning
Address Maintenance
Accidents registrations
Flood risk mapping
Efficiency High Average Low High
Use intensity Average / High
Low Average High
Sharing Average / High
Low Low Average
Success factors: - Degree of Standardisation - Open Privacy Attitude- Consistent Data Policy- Organisational data management integrated in work processes
Legal framework in Flanders
• 2 types of regulations– Facilitating the availability of spatial data– Limiting the availability of spatial data
Governance framework in Flanders
Pricing & Funding
– Benefit Cost AnalysisExamples 4:1 (AUS / Malaysia) / 23:1 (AT) / 30:1 (DK)
– Funding• Direct Central Government funding – direct from citizens and private sector taxes• Indirect Central Government funding – e.g. waiving of taxes• Direct revenue – sale of products and services• Sponsorship / advertising (e.g. via the geo-portal)• Indirect revenue – from products and services related to spatial data e.g. real estate registration• Partnerships:• Government and Donor agencies joint funding partnerships (e.g. World Bank ); • Donor agencies and private sector partnerships; • Donor agencies, government and private sector partnerships; and • Partnerships with international private sector• Donor “gift” funding • Private sector non-cash contribution e.g. services such as software development, advertising• Special Bank / Special Loans
Pricing & Funding
– Pricing Policies • Free• Below price of provision• Price of provision• Price of provision ‘plus’: reproduction, distribution• Price of provision and part of the maintenance costs
– Marketing
45
Third SDI-condition for good governance
• From sequential implementation • to parallel and simultaneous implementation
• Requirement: multidisciplinary task force
Functional GI Governance
Three challenges:• 1 Managing Databases with Organisations• 2 Demand-driven Supply• 3 Creating a multi-disciplinary Approach
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3. Propositions
Staten-Generaal
Annual event/meeting with key decision makers and GI-practitioners of Flanders (at different administrative levels)
Subject: Sustainable Flemish SDINature: Mobilising, Steering Organisers: SPATIALIST, NGI, Flemish Services for Government Policy, Association of Flemish Cities and Municipalities, AGIVTime: 1 December 2012Location: Brussels, Academy PalaceNumber of inscriptions: 280
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Voting
COMMUNICATORCOMMUNICATOR
DISPLAY__________
CORRECTION ____
______VOTING BUTTONS
YOU CAN CHOOSE ONLY ONE OPTION
81%
16%
3%
0%
0%
Helemaal Eens
Eerder Eens
Noch Eens / Noch Oneens
Eerder Oneens
Helemaal Oneens
Proposition 1
THE GOVERNMENT COULD IMPROVE ITS COMMUNICATION INTERNALLY, WITH THE CITIZENS AND PRIVATE SECTOR BY USING SPATIAL DATA
FULLY AGREE
AGREE
NOT AGREE / NOT DISAGREE
DISAGREE
FULLY DISAGREE
81%
16%
3%
0%
0%
Helemaal Eens
Eerder Eens
Noch Eens / Noch Oneens
Eerder Oneens
Helemaal Oneens
Proposition 1
THE GOVERNMENT COULD IMPROVE ITS COMMUNICATIONINTERNALLY, WITH THE CITIZENS AND PRIVATE SECTOR BY USING SPATIAL DATA
FULLY AGREE
AGREE
NOT AGREE / NOT DISAGREE
DISAGREE
FULLY DISAGREE
3%
1%
4%
0%
92%
de voorbereiding van beleid
de bepaling van beleid
de uitvoering van beleid
de evaluatie van beleid
alle fasen van beleid
Proposition 2
THE PROVISION OF SPATIAL DATA HAS TO FOCUS ON:
THE PREPARATION PHASE OF POLICY MAKING
THE DEFINITION PHASE OF POLICY MAKING
THE EXECUTION PHASE OF POLICY MAKING
THE EVALUATION PHASE OF POLICY MAKING
ALL PHASES OF POLICY MAKING
3%
1%
4%
0%
92%
de voorbereiding van beleid
de bepaling van beleid
de uitvoering van beleid
de evaluatie van beleid
alle fasen van beleid
Proposition 2
THE PROVISION OF SPATIAL DATA HAS TO FOCUS ON:
THE PREPARATION PHASE OF POLICY MAKING
THE DEFINITION PHASE OF POLICY MAKING
THE EXECUTION PHASE OF POLICY MAKING
THE EVALUATION PHASE OF POLICY MAKING
ALL PHASES OF POLICY MAKING
67%
21%
9%
3%
Gratis zijn
Tegen transactiekostprijs
Tegen integrale kostprijs (inclusief verrekening van de investeringen)
Tegen marktprijs
Proposition 3
THE EXCHANGE OF SPATIAL DATA WITHIN AND BETWEEN ADMINISTRATIVE LEVELS HAS TO HAPPEN:
FOR FREE
BY TRANSACTION COST PRICE
BY INTEGRAL COST PRICE (INCLUDING PRICEFOR INVESTMENTS)
MARKET PRICE
67%
21%
9%
3%
Gratis zijn
Tegen transactiekostprijs
Tegen integrale kostprijs (inclusief verrekening van de investeringen)
Tegen marktprijs
Proposition 3
THE EXCHANGE OF SPATIAL DATA WITHIN AND BETWEEN ADMINISTRATIVE LEVELS HAS TO HAPPEN:
FOR FREE
BY TRANSACTION COST PRICE
BY INTEGRAL COST PRICE (INCLUDING PRICEFOR INVESTMENTS)
MARKET PRICE
13%
31%
25%
31%
Gratis zijn
Tegen transactiekostprijs
Tegen integrale kostprijs (inclusief verrekening van de investeringen)
Tegen marktprijs
Proposition 4
MAKING SPATIAL DATA PRODUCED BY THE GOVERNMENT AVAILABLE TO THE PRIVATE SECTOR HAS TO BE:
FOR FREE
BY TRANSACTION COST PRICE
BY INTEGRAL COST PRICE (INCLUDING PRICEFOR INVESTMENTS)
MARKET PRICE
13%
31%
25%
31%
Gratis zijn
Tegen transactiekostprijs
Tegen integrale kostprijs (inclusief verrekening van de investeringen)
Tegen marktprijs
Proposition 4
MAKING SPATIAL DATA PRODUCED BY THE GOVERNMENT AVAILABLE TO THE PRIVATE SECTOR HAS TO BE:
FOR FREE
BY TRANSACTION COST PRICE
BY INTEGRAL COST PRICE (INCLUDING PRICEFOR INVESTMENTS)
MARKET PRICE
5%
15%
36%
29%
15%
Helemaal Eens
Eerder Eens
Noch Eens / Noch Oneens
Eerder Oneens
Helemaal Oneens
Proposition 5
THE PRIVATE SECTOR CAN ACQUIRE SPATIAL DATA MORE EFFICIENT THAN THE GOVERNMENT
FULLY AGREE
AGREE
AGREE / DISAGREE
DISAGREE
FULLY DISAGREE
5%
15%
36%
29%
15%
Helemaal Eens
Eerder Eens
Noch Eens / Noch Oneens
Eerder Oneens
Helemaal Oneens
Proposition 5
THE PRIVATE SECTOR CAN ACQUIRE SPATIAL DATA MORE EFFICIENT THAN THE GOVERNMENT
FULLY AGREE
AGREE
AGREE / DISAGREE
DISAGREE
FULLY DISAGREE
38%
19%
37%
2%
4%
het Europese
het federale
het regionale
het provinciale
het lokale
Proposition 6
THE ADMINISTRATIVE LEVEL THAT HAS TO TAKE THE LEAD IN THE DEVELOPMENT OF SDI IS:
THE EUROPEAN / INTERNATIONAL
THE NATIONAL
THE REGIONAL
THE PROVINCIAL
THE LOCAL
38%
19%
37%
2%
4%
het Europese
het federale
het regionale
het provinciale
het lokale
Proposition 6
THE ADMINISTRATIVE LEVEL THAT HAS TO TAKE THE LEAD IN THE DEVELOPMENT OF SDI IS:
THE EUROPEAN / INTERNATIONAL
THE NATIONAL
THE REGIONAL
THE PROVINCIAL
THE LOCAL
13%
43%
4%
7%
33%
het Europese
het federale
het regionale
het provinciale
het lokale
Proposition 7
THE WEAKEST SDI IS THE FOLLOWING ADMINISTRATIVE LEVEL:
THE EUROPEAN / INTERNATIONAL
THE NATIONAL
THE REGIONAL
THE PROVINCIAL
THE LOCAL
13%
43%
4%
7%
33%
het Europese
het federale
het regionale
het provinciale
het lokale
Proposition 7
THE WEAKEST SDI IS THE FOLLOWING ADMINISTRATIVE LEVEL:
THE EUROPEAN / INTERNATIONAL
THE NATIONAL
THE REGIONAL
THE PROVINCIAL
THE LOCAL
24%
3%
73%
Duidelijke regels, wetten en werkstructuren
Concurrentie en marktwerking
Diepgaandere samenwerking
Proposition 8
In order to develop a successful Spatial Data Infrastructure, there is a strong need for:
Clear rules, laws, and working structures
Competition and market
Profound cooperation
24%
3%
73%
Duidelijke regels, wetten en werkstructuren
Concurrentie en marktwerking
Diepgaandere samenwerking
Proposition 8
In order to develop a successful Spatial Data Infrastructure, there is a strong need for:
Clear rules, laws, and working structures
Competition and market
Profound cooperation
1%
31%
26%
31%
4%
7%
Nieuwe geografische gegevens
Actuele geografische gegevens
Gestandaardiseerde geografische gegevens
Toegankelijke geografische gegevens
Op maat gemaakte geografische gegevens
Eénmalig ingezamelde geografische gegevens
Proposition 9
THE DEVELOPMENT OF SDI HAS TO ADDRESS MAINLY TO:
NEW SPATIAL DATA
ACTUAL SPATIAL DATA
STANDARDISED SPATIAL DATA
EASY SPATIAL DATA ACCESS
SPATIAL DATA PRE-PROCESSING
AVOIDANCE OF SPATIAL DATA DUPLICATION
1%
31%
26%
31%
4%
7%
Nieuwe geografische gegevens
Actuele geografische gegevens
Gestandaardiseerde geografische gegevens
Toegankelijke geografische gegevens
Op maat gemaakte geografische gegevens
Eénmalig ingezamelde geografische gegevens
Proposition 9
THE DEVELOPMENT OF SDI HAS TO ADDRESS MAINLY TO:
NEW SPATIAL DATA
ACTUAL SPATIAL DATA
STANDARDISED SPATIAL DATA
EASY SPATIAL DATA ACCESS
SPATIAL DATA PRE-PROCESSING
AVOIDANCE OF SPATIAL DATA DUPLICATION