This contribution proposes an application of the SOMERSET-P platform for strategic environmental assessment of regional planning scenarios related to the municipality of Ste-Claire (Quebec, Canada). The platform combines spatial analysis and multicriteria decision-aid support and is supplied with data from several stakeholder expectations and planning issues. Stakeholders are modeled according to the following five groups: “Owners” (civil administration representatives), Farmers, Foresters, Environmentalists, and Neo-rural dwellers. Each scenario was built according to a hierarchy of planning objectives. Scenarios were assessed in accordance with 12 decision criteria and related indicators of performance. The spatial translation and spatial analysis of the territorial impacts of the scenarios are performed within the ArcGIS geographic information system. These scenarios were integrated into multicriteria and multi-stakeholders analysis software implementing the PROMETHEE/GAIA methodology. Four elements were computed to support the stakeholder negotiations and decision analysis: scenario strengths and weaknesses, individual and multi-stakeholder scenario rankings, and visual analysis of conflicts and synergies between criteria, and between stakeholders. Results suggest that a potential compromise is located in-between the full economic growth and the ecological scenarios. Since regional planning processes are becoming increasingly complex with time due to the group polarization and the emergence of conflictual societal value schemes among stakeholders hierarchical and networked relations approaches involving multiple stakeholders like this one are fully justified in the future.

此文稿建议将SOMERSET-P平台用于与圣克莱尔市（加拿大魁北克）有关的区域规划方案的战略环境评估。该平台结合了空间分析和多标准决策辅助支持，并提供了来自多个利益相关者期望和计划问题的数据。利益相关者根据以下五个组建模：“所有者”（民政代表），农民，林务员，环保主义者和新农村居民。每个方案都是根据计划目标的层次结构构建的。根据12个决策标准和相关的绩效指标对情景进行了评估。场景的地域影响的空间转换和空间分析是在ArcGIS地理信息系统中执行的。这些方案已集成到实施PROMETHEE / GAIA方法的多标准和多利益相关方分析软件中。计算了四个要素来支持利益相关者的谈判和决策分析：方案的优缺点，个人和多利益相关者的方案等级，以及标准之间以及利益相关者之间的冲突和协同作用的可视化分析。结果表明，潜在的妥协位于整个经济增长与生态情景之间。