Comprehensive decision-strategy space exploration for efficient territorial planning strategies

    Par
    Jean Cavailhès
    -
    (), Volume 83, September 2020, 101516

     Présentation (FED) : L’objectif principal des auteurs est de présenter une nouvelle méthodologie de statistique spatiale utilisable dans les décisions d’usage des sols pour l’urbanisation. Il s’agit donc d’un article méthodologique. Néanmoins, les auteurs illustrent leur méthode par une démarche d'aménagement du territoire dans le Sud de la France. L'objectif est de trouver des zones adaptées au développement urbain tout en préservant les espaces verts et leurs services écosystémiques associés. Les avantages écosystémiques, sociaux et économiques, ainsi que les infrastructures vertes et les paramètres biophysiques sont ainsi inclus dans la planification urbaine et territoriale. L’espace décisionnel peut être divisé en quatre clusters ayant chacun une distribution spatiale permettant d’identifier les zones potentielles de développement urbain. Ils proposent un classement de l'adéquation du site pour évaluer la relation entre les quatre clusters détectés.

    Abstract (authors) : GIS-based Multi-Criteria Decision Analysis is a well-known decision support tool that can be used in a wide variety of contexts. It is particularly useful for territorial planning in situations where several actors with different, and sometimes contradictory, point of views have to take a decision regarding land use development. While the impact of the weights used to represent the relative importance of criteria has been widely studied in the recent literature, the impact of the order weights used to combine the criteria have rarely been investigated. This paper presents a spatial sensitivity analysis to assess the impact of order weights determination in GIS-based Multi-Criteria Analysis by Ordered Weighted Averaging. We propose a methodology based on an efficient exploration of the decision-strategy space defined by the level of risk and trade-off in the decision process. We illustrate our approach with a land use planning process in the South of France. The objective is to find suitable areas for urban development while preserving green areas and their associated ecosystem services. The ecosystem service approach has indeed the potential to widen the scope of traditional landscape-ecological planning by including ecosystem-based benefits, including social and economic benefits, green infrastructures and biophysical parameters in urban and territorial planning. We show that in this particular case the decision-strategy space can be divided into four clusters. Each of them is associated with a map summarizing the average spatial suitability distribution used to identify potential areas for urban development. We also demonstrate the pertinence of a spatial variance within-cluster analysis to disentangle the relationship between risk and trade-off values. At the end, we perform a site suitability ranking analysis to assess the relationship between the four detected clusters.

    Lien : (19) (PDF) Comprehensive decision-strategy space exploration for efficient territorial planning strategies (researchgate.net)