Paris2014 141211 Guénaël DEVILLET Models and Observation Systems for Sustainable Development of...
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- 1. [cooperative observation]Donnes, mthodes et systmes dobservation pourle dveloppement durable des territoires(Data, methods and systems for the cooperativeobservation of the sustainable development of territories)Gunal Devillet,SEFEFA Universit de LigeGDRI INTI Conference 2014Dec 11-12, 2014 ParisFrance
2. 2Axis Collaborative Observation collaborationOLEACCEMUFCTAG, Territorios PosiblesLa Plata University, ConicetESOUniversity of SalernoUniversity of PecsUB+ 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) 3. 3Territorial observationand sustainable developmentTerritorial Observation Axis coordinates research aiming to betterunderstand and compare territorial observation tools and modelsinternationally.Observations are based upon collection, sharing and crossing of userdata as well as on services and territorial indicators. This is in order todevelop, argue, follow and evaluate partnership projects in aparticipative manner.The tools implemented to fulfil the needs of actors and researchers werecompared and studied internationally and improvements were tested. 4. Territorial observationand sustainable developmentThe local territorial observation is currently facing many challenges. Thefive main ones are the following:4 The most important is the lack of public information available at theinfra-municipality level. Contradictorily, there is a mass of information. Only few social and environmental indicators are consistent withsustainable development. Mapping representation is complicated by disparities among sectorsof activities, by spatial boundaries as well as by temporal updates. Local information still lack of transparency 5. 5Territorial observationand sustainable development 6. 6Territorial observationand sustainable developmentThe Territorial Observation Axis launched three projects devoted to(1) the improvement and integration of tools part of the catalystmethod(2) the analysis of territory resilience indicators(1) the development of an interactive web-GIS integrated system forareas lacking of geographical and institutional information 7. 1. Improvement and integration of tools part of the7catalyst method 8. 1. Improvement and integration of tools part of the8catalyst methodThe Catalyst method is the common reference among ENTI partners. It isbased on the identification of peoples needs profile at the territorialscale, which are then confronted with available services in order toestimate the relevance and effectiveness of these services. Following thepotentials and risks that the territory represents, it compares thecharacteristics of the studied population with available territorialindicators to analyse the impact of these services. Catalyst is based onmulti-criteria quantitative and qualitative methods as well as on spatialrepresentation and analysis. It uses shared online database and onlinemapping. Within a co-construction perspective, it thrives to coordinatethe redaction of specific technical methodologies aiming to update andimprove local observation tools targeting territorial actors. 9. 1. Improvement and integration of tools part of the9CATALYSE method and the others !+ Stlocus method+ territorii method+ other observation methodsOIEdT (Uruguay)catalyst method 10. 1. Improvement and integration of tools part of the10TICS - CooTIS - SCITcatalyst methodIn parallel, the modelling of a cooperative and participatory territorialintelligence system suitable to the specific local actors needs waspursued by the Besanon team. Such system represents a sharinginformation space and workspace for actors involved in projects ofdevelopment. It merges scientific software tools, analysis informationand protocols, from the data collection to the publication of results onintranet and internet. The modelling allows to the usage of a commonlanguage which facilitates information technology developments, as wellas the system evaluation and maintenance. The integration suggestsautomatic or semi-automatic processes, expertise and experiencepreviously acquired are embedded within intelligent systems. 11. 1. Improvement and integration of tools part of the11SCITcatalyst methodThis ambitious project has allowed the development of an online versionof the software used for data collection and the quantitative dataanalysis. This tool is currently used by the Spanish observation networkfor migration (ACCEM), in which observation members have defined theanalysis protocol on the premises of a common data collection guide.Important efforts have been given to further improve the softwaresystem. These focused on the systems modelling, development,maintenance, as well as on strengthening and implementing its protocols.Also, a new software co-called e-pragma was completely re-designed bythe MSHE and lUFC team. It was tested in Belgium during a territorialprospective exercise in the context of an ageing population study fromthe district of Verviers, Uruguay, Belgium and in Ouarzazate, Morocco. 12. 1. Improvement and integration of tools part of thecatalyst methodModlisation des systmes dobservation territoriaux (UFC)Diffrentes modlisations ont t ralises :- Modlisation des donnes manipules dans Catalyse- Dfinition d'un vocabulaire de base dont chaque terme a une12dfinition informatique et une dfinition IT- Dfinition des rles de chaque acteur utilisant les SCITModlisation des procdures de la dmarche Catalyse (permetde reprsenter des processus mtiers en dcrivant les actionsdes outils informatiques et les tches ralises par des humains)- Ralisation d'un projet d'intelligence territoriale dcrite en BPM 13. The project caENTI FP6 developed a web-based interactive mappingapplication (Pehani et al.), which presents six selected socio-economicindicators (total population, population density, labour force,unemployment rate, household net revenues, average household size) forthe countries of the European Union. These data are at differentgeographical levels (NUTS0, to NUTS3; and LAU2 for country members ofthe caENTI) together with the metadata.In our days, specific softwares (such as Instantalas) propose modules ofonline database and statistical treatments which may foster collaborativeactions among actors. Some trials have been conducted notably by theOLE and the SEGEFA (Jaspard et al. Huelva 2013).132. Spatial Indicators and specific territorialobservation data 14. Collaborations are established with designers of the St Locus method.This method propose a participative consensus on the definition andqualification of micro areas, such as a residential neighbourhood or afarm. If satellites allow to qualify a place from a distant vertical point ofview, one must be in the area with actors in order to characterise it.A research-action focused on the development of a web interactivemapping tool, allowing local actors to produce spatial information and torecover it for its analysis. A prototype was created in collaboration withthe University of Tucuman and based on the district of Lamadrid, locatedin the province of Tucuman, Argentina. This tools allows to obtain datafrom a territory which do not have official statistics nor local spatializedinformation and were map background layers are non-existent. This typeof tool may also be used in other territories further described by statisticsbut for infra-municipality scale on which only few statistics are available.143. Original spatial data acquisition 15. Actors and researchers of this axis have thereforeimproved the local and multi-sectorial partnershipdevelopment tools. These tools allow to share, to pooland to cross data from multiple sources andconcerning highly diverse thematic, sectors, andscales.The Territorial Observation proposes to the partnershipsome cooperative spaces in which it is possible toanalyse the data, mobilize knowledge, definerelevant projects as well as assess effectiveness andimpact of actions.Future research must focus on the application of themethod within new territories and on the integrationof tools, notably the mapping module15Conclusion 16. 16Thank you for your attentionMerci pour votre attentionGracias por su atencinGrazie per la vostra attenzione V mulumesc pentru atenieKsznm a figyelmetVielen Dank fr Ihre AufmerksamkeitKiitos huomiota Dzikuj za uwag lginiz iin teekkrler