Models and Observation Systems for Sustainable Development of Territories Guénaël DEVILLET g.devillet@ulg.ac.be http://inti.hypotheses.org/

1. [cooperative observation]
Données, méthodes et systèmes d’observation pour
le développement durable des territoires
(Data, methods and systems for the cooperative
observation of the sustainable development of territories)
Guénaël Devillet,
SEFEFA – Université de Liège
GDRI INTI Conference 2014
Dec 11-12, 2014 ParisFrance

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Axis ‘Collaborative Observation’ collaboration
OLE
ACCEM
UFC
TAG, Territorios Posibles
La Plata University, Conicet
ESO
University of Salerno
University of Pecs
UB
+ Agadir University (Ouarzazate campus )
+ Universidad de Tucuman
+Universidad Nacional del Nordeste (Liliana Ramirez) + Recife + R.
dominicaine (Marcos A. Morales).
+ Quartier en Transition (Godarville, Chapelle/L/H., Belgique)

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Territorial observation
and sustainable development
Territorial Observation Axis coordinates research aiming to better
understand and compare territorial observation tools and models
internationally.
Observations are based upon collection, sharing and crossing of user
data as well as on services and territorial indicators. This is in order to
develop, argue, follow and evaluate partnership projects in a
participative manner.
The tools implemented to fulfil the needs of actors and researchers were
compared and studied internationally and improvements were tested.

4. Territorial observation
and sustainable development
The local territorial observation is currently facing many challenges. The
five main ones are the following:
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• The most important is the lack of public information available at the
infra-municipality level.
• Contradictorily, there is a mass of information.
• Only few social and environmental indicators are consistent with
sustainable development.
• Mapping representation is complicated by disparities among sectors
of activities, by spatial boundaries as well as by temporal updates.
• Local information still lack of transparency

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<indicators>
<data>
<catalyse>
<modelisation - design>
<webmapping>
Territorial observation
and sustainable development

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Territorial observation
and sustainable development
The Territorial Observation Axis launched three projects devoted to
(1) the improvement and integration of tools part of the “catalyst
method”
(2) the analysis of territory resilience indicators
(1) the development of an interactive web-GIS integrated system for
areas lacking of geographical and institutional information

7. 1. Improvement and integration of tools part of the
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“catalyst method”

8. 1. Improvement and integration of tools part of the
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“catalyst method”
The Catalyst method is the common reference among ENTI partners. It is
based on the identification of people’s needs profile at the territorial
scale, which are then confronted with available services in order to
estimate the relevance and effectiveness of these services. Following the
potentials and risks that the territory represents, it compares the
characteristics of the studied population with available territorial
indicators to analyse the impact of these services. Catalyst is based on
multi-criteria quantitative and qualitative methods as well as on spatial
representation and analysis. It uses shared online database and online
mapping. Within a co-construction perspective, it thrives to coordinate
the redaction of specific technical methodologies aiming to update and
improve local observation tools targeting territorial actors.

9. 1. Improvement and integration of tools part of the
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CATALYSE method… and the others !
+ Stlocus method
+ territorii method
+ other observation methods
OIEdT (Uruguay)
“catalyst method”

10. 1. Improvement and integration of tools part of the
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TICS - CooTIS - SCIT
“catalyst method”
In parallel, the modelling of a cooperative and participatory territorial
intelligence system suitable to the specific local actors needs was
pursued by the Besançon team. Such system represents a sharing
information space and workspace for actors involved in projects of
development. It merges scientific software tools, analysis information
and protocols, from the data collection to the publication of results on
intranet and internet. The modelling allows to the usage of a common
language which facilitates information technology developments, as well
as the system evaluation and maintenance. The integration suggests
automatic or semi-automatic processes, expertise and experience
previously acquired are embedded within intelligent systems.

11. 1. Improvement and integration of tools part of the
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SCIT
“catalyst method”
This ambitious project has allowed the development of an online version
of the software used for data collection and the quantitative data
analysis. This tool is currently used by the Spanish observation network
for migration (ACCEM), in which observation members have defined the
analysis protocol on the premises of a common data collection guide.
Important efforts have been given to further improve the software
system. These focused on the system’s modelling, development,
maintenance, as well as on strengthening and implementing its protocols.
Also, a new software co-called e-pragma was completely re-designed by
the MSHE and l’UFC team. It was tested in Belgium during a territorial
prospective exercise in the context of an ageing population study from
the district of Verviers, Uruguay, Belgium and in Ouarzazate, Morocco.

12. 1. Improvement and integration of tools part of the
“catalyst method”
Modélisation des systèmes d’observation territoriaux (UFC)
Différentes modélisations ont été réalisées :
- Modélisation des données manipulées dans Catalyse
- Définition d'un vocabulaire de base dont chaque terme a une
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définition informatique et une définition IT
- Définition des rôles de chaque acteur utilisant les SCIT
Modélisation des procédures de la démarche Catalyse (permet
de représenter des processus métiers en décrivant les actions
des outils informatiques et les tâches réalisées par des humains)
- Réalisation d'un projet d'intelligence territoriale décrite en BPM

13. The project caENTI FP6 developed a web-based interactive mapping
application (Pehani et al.), which presents six selected socio-economic
indicators (total population, population density, labour force,
unemployment rate, household net revenues, average household size) for
the countries of the European Union. These data are at different
geographical levels (NUTS0, to NUTS3; and LAU2 for country members of
the caENTI) together with the metadata.
In our days, specific softwares (such as Instantalas) propose modules of
online database and statistical treatments which may foster collaborative
actions among actors. Some trials have been conducted notably by the
OLE and the SEGEFA (Jaspard et al. Huelva 2013).
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2. Spatial Indicators and specific territorial
observation data

14. Collaborations are established with designers of the St Locus method.
This method propose a participative consensus on the definition and
qualification of micro areas, such as a residential neighbourhood or a
farm. If satellites allow to qualify a place from a distant vertical point of
view, one must be in the area with actors in order to characterise it.
A research-action focused on the development of a web interactive
mapping tool, allowing local actors to produce spatial information and to
recover it for its analysis. A prototype was created in collaboration with
the University of Tucuman and based on the district of Lamadrid, located
in the province of Tucuman, Argentina. This tools allows to obtain data
from a territory which do not have official statistics nor local spatialized
information and were map background layers are non-existent. This type
of tool may also be used in other territories further described by statistics
but for infra-municipality scale on which only few statistics are available.
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3. Original spatial data acquisition

15. Actors and researchers of this axis have therefore
improved the local and multi-sectorial partnership
development tools. These tools allow to share, to pool
and to cross data from multiple sources and
concerning highly diverse thematic, sectors, and
scales.
The Territorial Observation proposes to the partnership
some cooperative spaces in which it is possible to
analyse the data, mobilize knowledge, define
relevant projects as well as assess effectiveness and
impact of actions.
Future research must focus on the application of the
method within new territories and on the integration
of tools, notably the mapping module
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Conclusion

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