General ESPON meeting Espoo, 14-15 november, 2006. TEQUILA SIP ESPON 3.2 Interactive Simulation Package for Territorial Impact Assessment Roberto Camagni (Politecnico di Milano). The team. DIG - Department of Management, Economics and Industrial - PowerPoint PPT Presentation
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Prof. Roberto Camagni – Politecnico di Milano
General ESPON meeting General ESPON meeting Espoo, 14-15 november, 2006Espoo, 14-15 november, 2006
Chiara TRAVISI (data base and calibration) DIG - Politecnico
Paolo SALZANI (data base and simulation) DIG - Politecnico
Prof. Roberto Camagni – Politecnico di Milano
Content Content
1. The TIA / Territorial Cohesion link
2. An operational definition of Territorial Cohesion
3. Territorial dimensions and assessment criteria
4. The General Assessment Model: the TEQUILA Model
5. The Territorial Assessment Model: TIM
6. TEQUILA SIP: Interactive Simulation Package
7. Application to TENs policies
8. The interactive package
9. Mapping the results
Prof. Roberto Camagni – Politecnico di Milano
1. The TIA / Territorial Cohesion link
A TIA methodology has necessarily to start by linking up with a sound theoretical and operational definition of Territorial Cohesion
“Territorial cohesion translates the goal of sustainable and balanced development assigned to the Union into territorial terms” (Rotterdam Declaration, Dutch Presidency, 2004)
For us:
Territorial cohesion may be seen as the territorial dimension of sustainability (beyond the technological, the behavioural and the diplomatic dimensions of sustainability) (Camagni, 2004)
Prof. Roberto Camagni – Politecnico di Milano
2. An operational definition of Territorial Cohesion
The 3 main components of territorial cohesion:
* Territorial Efficiency: resource-efficiency with respect to energy, land and natural resources; competitiveness and attractiveness of the local territory; internal and external accessibility
* Territorial Quality: the quality of the living and working environment; comparable living standards across territories; similar access to services of general interest and to knowledge
* Territorial Identity: presence of “social capital”; landscape and cultural heritage;capability of developing shared visions of the future; creativity;productive “vocations” and competitive advantage of each territory
Prof. Roberto Camagni – Politecnico di Milano
2. An operational definition of Territorial Cohesion
Prof. Roberto Camagni – Politecnico di Milano
3. Territorial dimensions and assessment criteria3. Territorial dimensions and assessment criteria
Ec
Soc
Territorial quality
Territorial efficiency
Territorial identity
Env
Quality of life and working conditions; access to services of general interest
Sustainable transport: s hare of public transport and reduction of congestion on the network
Compact city form; reduction of sprawl
Co -operation between city and countryside
Integrated and balanced territori al system
Efficient and polycentric urban system
Inter -regional integration
Complementarity of knowledge and Know -how
Multiethnic solidarity and integration
Conservation and creative management of cultural resources
Conservation and creative management of natural landscape
Reduction of poverty and exclusion
Economic performance
Employment performance
Accessibility to telecommunication services and to knowledge
Strengthening of gateway cities
Financial costs and benefits of
policies
Conservation of natural resources Conservation of water resources
Accessibility to infrastructure
Reduction of environmental risks
Quality of services
Quality of transport services
Prof. Roberto Camagni – Politecnico di Milano
4. The General Assessment model: the TEQUILA Model
T erritorial
E fficiency
QU ality
I dentity
L ayered the TEQUILA ModelA ssessment
Model
(Camagni, 2006)
Prof. Roberto Camagni – Politecnico di Milano
4. The General Assessment model: the TEQUILA Model
1. TEQUILA is a Multicriteria Model for the Territorial Impact Assessment of EU policies
2. The 3 components of the T.C. concept and their sub-components become the criteria in the Assessment Model
3. The weights of the 3 criteria and sub-criteria are flexible
(sensitivity of results with respect to change in weights is tested interactively)
4. The general impact of EU policies on each criterion is defined using ad hoc studies, in both qualitative and quantitative ways
5. A method for combining quali-quantitative impact indicators inside the multi-criteria analysis is supplied
Prof. Roberto Camagni – Politecnico di Milano
4. The General Assessment model: the TEQUILA Model
Alternative scaling of quantitative assessments (e.g.)
+5
0
180 250 180 250 Impact on regional employment Impact on regional employment
+3
+2
a) “local scaling” b) “ad hoc scaling”
Qualitative impact scores are attributed on a +5 to -5 scale: 5= very high advantage for all; -5= very high disadvantage for all4= high advantage for all; -4= high disadvantage for all3= high advantage for some, medium adv. for all; -3= high dis. for some, medium dis. for all2= medium advantage; -2= medium disadvantage1= low advantage; -1= low disadvantage 0= nil impact;
Prof. Roberto Camagni – Politecnico di Milano
4. The General Assessment model
The 2 layers
1st layer: General Assessment of the impact of EU policies on the overall European territory: to be intended as a “potential impact” on an abstract territory (PIM)
2nd layer: “Territorial Assessment” on each region. Necessary as:
- the intensity of the policy application may be different on different regions
- the relevance of the different “criteria” is likely to be different for different regions, according to their utility function
- the vulnerability and the receptivity of the different regions to similar “potential” impacts is likely to be different
- a region may not be subject to a specific policy
Prof. Roberto Camagni – Politecnico di Milano
5. The Territorial Assessment Model: TIM5. The Territorial Assessment Model: TIM
TIMr = Σc θc . (PIMc . PIr ) . Sr,c . PAr
TIM = territorial impactc = criterion of the multi-criteria methodr = regionθc = weight of the c criterionPIM = potential impact of policy (abstract)PI = policy intensity (in region r)Sr,c = sensitivity of region r to criterion cPA = policy applicability (a 0/1 variable)
Sr,c = Dr,c . Vr,cDr,c = desirability of criterion c for region r (territorial “utility function”)Vr,c = vulnerability of region c to impact PIMc (receptivity for positive
impacts): a vector of regional characteristics
Prof. Roberto Camagni – Politecnico di Milano
6. TEQUILA SIP: an Interactive Simulation Package6. TEQUILA SIP: an Interactive Simulation Package
The TEQUILA model is operated through an interactive simulation device, specifically built by the research team for Espon:
TEQUILA SIP- interactive- easy to build and operate- working on different layers (particularly: Europe 29 and NUTS 3)
As a pioneering and prototype experiment, TEQUILA SIP is applied to the assessment of the Territorial Impact of EU transport policy (TEN-TINA), using existing quantitative ESPON assessments and data base
Territorial level : NUTS 3 (1329 regions) Collaboration of ESPON teams in data supply is gratefully acknowledged
Prof. Roberto Camagni – Politecnico di Milano
7. Application to TENs policies7. Application to TENs policies