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MULTI-CRITERIA ANALYSIS AS A LANDSCAPE KNOWLEDGE’S TOOL FOR A PROCESS OF PARTICIPATORY GOVERNANCE Landscape Architect Michela Tolli Sapienza University of Rome COLLOQUE « CONCILIER EXPERTISE SCIENTIFIQUE ET PARTICIPATION : LE DÉFI POSÉ PAR LA CONVENTION EUROPÉENNE DU PAYSAGE », Université libre de Bruxelles (Belgique) 28 et 29 AVRIL 2014 Co-authors: Prof. Fabio Recanatesi, Tuscia University, Viterbo Prof. Elio Trusiani, Sapienza University of Rome

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MULTI-CRITERIA ANALYSIS AS A LANDSCAPE KNOWLEDGE’S TOOL FOR A PROCESS OF PARTICIPATORY GOVERNANCE Landscape Architect Michela Tolli

Sapienza University of Rome

COLLOQUE « CONCILIER EXPERTISE SCIENTIFIQUE ET PARTICIPATION : LE DÉFI POSÉ PAR LA CONVENTION EUROPÉENNE DU PAYSAGE », Université libre de Bruxelles (Belgique) 28 et 29 AVRIL 2014

Co-authors:

Prof. Fabio Recanatesi, Tuscia University, Viterbo Prof. Elio Trusiani, Sapienza University of Rome

European Landscape Convention The European Landscape Convention (Council of Europe, FI 2000) describes landscape as the result of the constant interaction between the PHYSICAL, NATURAL , SOCIAL and CULTURAL components. Considering together all these components, you have a complex combination of objects which constitute an ORGANIC UNITY IN CONSTANT EVOLUTION (Sestini, 1963).

1. Give importance to the PARTICIPATION of citizens and public administrations

2. The need for a comparison between physical and natural components and socio-cultural one

3. The need to find TOOLS able to interpret the complexity of the landscape

ISSUES from the European Landscape Convention:

AIM OF THE WORK The present study aims to provide to the public administration of Cerveteri's municipality (Centre of Italy)

ITALY, Lazio region

PROVINCE OF ROME CERVETERI MUNICIPALITY

ROME

MAPS AND GUIDELINES as SUPPORT IN THE CHOICES OF LAND's TRANSFORMATION, through two parallel step: experiencing the multi-criteria tool to make a quantitative analysis, and together, by subjecting questionnaires to the population.

SINTHESYS

METHODOLOGY STEP 1 – MULTI-CRITERIA ANALYSIS In the present work we used a hierarchical MCA (Analytical Hierarchy Process) which allows to assign different priorities to available information and, through the application of FUZZY LOGIC, you can also to relate heterogeneous analysis feedback, otherwise not directly comparable.

COLLECTION OF INFORMATION’S LAYERS AVAILABLE INCREASE OF INFORMATION’S LAYERS

COLLECTION OF STATISTICAL DATA ON THE POPULATION

STEP 2 – PARTICIPATORY ANALYSIS by local actors At the same time, we worked for the PARTICIPATION OF LOCAL ACTORS, through questionnaires.

IDENTIFICATION OF THE STATISTICAL SAMPLE

PROCESSING

DRAWING UP AND DISTRIBUTION QUESTIONNAIRE

SINTHESYS PROJECT FUZZY ANALYSIS

PROCESSING 0

COLLECTION AND INCREASE OF INFORMATION LAYERS

Digital Elevation Model Slope map Phisical and natural components Anthropogenic components

STEP1 - MULTI-CRITERIA ANALYSIS

1 2

FUZZY ANALYSIS

STEP1 - MULTI-CRITERIA ANALYSIS

3

SINTHESYS

MULTI-CRITERIA ANALYSIS RESULT Suitability classes on 100sqm pixel

STEP1 - MULTI-CRITERIA ANALYSIS

SINTHESYS

STEP1 - MULTI-CRITERIA ANALYSIS

FORESTED AREAS, High suitability value

SINTHESYS

STEP1 - MULTI-CRITERIA ANALYSIS

ETRUSCAN NECROPOLI, High suitability value

SINTHESYS

STEP1 - MULTI-CRITERIA ANALYSIS

AREA WITH LOW SUITABILITY VALUE

SINTHESYS

MULTI-CRITERIA ANALYSIS RESULT Identification of three macro areas, bringing together classes with similar suitability values

STEP1 - MULTI-CRITERIA ANALYSIS

COLLECTION OF POPULATION STATISTICAL DATA 0

STEP2 – PARTICIPATORY ANALYSIS

Population 36.524 inhabitants OF WHICH: 17.925 Males 18.599 Females

IDENTIFICATION OF THE STATISTICAL SAMPLE 0 1

STEP2 – PARTICIPATORY ANALYSIS

0

2.000

4.000

6.000

8.000

10.000

12.000

14.000

1

0-14 5.569

15-29 5.258

30-49 12.305

50-69 12.305

70-100+ 4.392

Inh

abit

ants

Population data by age

0 1 3

DRAWING UP AND DISTRIBUTION OF THE QUESTIONNAIRE

STEP2 – PARTICIPATORY ANALYSIS

Background variables

AGE

18–30

30–50

Over 50

Not given

GENDER

Male

Female

Not given

RESIDENCE

City

Countryside

Assessment of macro-fields from multi-

criteria analysis

VALUE MACRO-FIELD NAME 1 - Low Hill's area

2 - Medium Rural area

3 - High Mixed area

HILL’S AREA RURAL AREA MIXED AREA

Classification of landscape elements

VALUE ELEMENTS

DESCRIPTION

1 - Low …

2 - Medium …..

3 - High …….

0 1 3 SYNTHESIS

STEP2 – PARTICIPATORY ANALYSIS

Respondent background variables Background variables

Percentage of respondents

AGE

18–30 25

30–50 42

Over 50 30

Not given 3

GENDER

Male 46

Female 52

Not given 2

RESIDENCE

City 55

Countryside 45

Assessment of macro-fields from multi-criteria analysis

VALUE (%)

1 - Low 2 - Medium 3 - High Not given

MACRO-FIELD NAME

Hill's area 3 44 53 0 Rural area 39 37 24 0 Mixed area 56 41 2 1

0

10

20

30

40

50

60

1 - Low 2 - Medium 3 - High Not given

Hill's area

Rural area

Mixed area

0 1 3 SYNTHESIS

STEP2 – PARTICIPATORY ANALYSIS

VALUE (%)

ELEMENTS DESCRIPTION 1 - Low 2 - Medium 3 - High Not given

1.Etruscan Necropolis " La Banditccia" 2 47 51 0

2.Medieval City Centre 14 42 39 5

3.Historic villages isolated 7 59 34 0

4.Forested hills 24 29 44 3

5.Sea coast 46 22 24 8

6.Farm buildings of Agrarian Reform 39 23 34 4

EtruscanNecropolis

" LaBanditccia

"

MedievalCity Centre

Historicvillagesisolated

Forestedhills

Sea coast

Farmbuildings

of AgrarianReform

Other

% 28 20 17 14 8 7 6

0

5

10

15

20

25

30

%

PREFERENCE VALUE (%)

PROJECT

IDENTIFICATION OF STRUCTURAL INVARIANTS

Interaction between High values from Multi-criteria analysis and from participatory analysis

PROJECT

IDENTIFICATION OF STRATEGIC AREAS OF INTERVENTION

Interaction between High values from Multi-criteria analysis and from participatory analysis And Low values from both.

PROJECT

GUIDE LINES AS SUPPORT FOR MUNICIPALITY’S DECISION MAKERS

PROJECT

SPECIFIC PROJECT EXAMPLE Hedgerow system in a rural area

WORK IN PROGRESS

Estimating the increase in suitability induced by design intervention

WORK IN PROGRESS

Estimating the increase in suitability induced by design intervention

IN COCNLUSION

we can say that, from the input thrown by the European Landscape Convention on the importance of including the population in the approach to the landscape, we are found into a very stimulating job, so much for us professionals, but for the population too. In fact, PEOPLE HAVE FELT MUCH MORE INVOLVED in all stages of transformation of its territory. We consider a strategic choice to include the population from the preliminary phase of the work, when we analyze the status quo, and not only in the ex-post evaluation of project proposals, because the first phase is one where you really decide how and where it will be invested funds and resources, and where or not they are provided transformations.