Univ. du Québec à Trois-Rivières, Trois-Rivières, Canada; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LOCIE, 73000, Chambéry, France; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, LISTIC, F-74000, Annecy, France.
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, LISTIC, F-74000, Annecy, France.
J Environ Manage. 2022 Aug 15;316:115165. doi: 10.1016/j.jenvman.2022.115165. Epub 2022 May 8.
This study deals with subject sustainability assessment for industrial parks which are seen as systems of interrelated companies and infrastructures. Although sustainability was introduced into mainstream policy discourse several decades ago, it remains complex to assess, and thus to improve in an integrated way. This is particularly true for such elaborate structures as industrial parks. However, the literature has made little effort to present tools for industrial parks managers to take decisions towards sustainability. The paper develops a sustainability assessment framework aimed at industrial parks' managers. The model is based on a multi-criteria compromise aggregation principle and relies on a preliminary systemic deployment of industrial park sustainability. The presented assessment uses a double aggregation mechanism using the weighted arithmetic mean (WAM) and the Choquet integral (CI) to account for the interrelations between stakeholders involved in an industrial park. This double aggregation results in two level of assessment, offering a more comprehensive view of the examined industrial park. A first level of assessment allows managers to control and improve the performance of their industrial parks in each pillar of sustainability. The second level is the assessment of the overall sustainability, which supports the managers' analysis of their strategy to achieve sustainability. As an illustration, the model is used to assess the sustainability of a Canadian industrial park. Application of the model shows that the completion of the studied industrial park's action plan results in reaching a 54% sustainability performance considering the managers' long-term sustainability strategy and that their vision of sustainability moderately favors the simultaneous satisfaction of economic criteria with environmental or social criteria. These results illustrates the capacity of the model to guide managers in the sustainable development of their industrial parks.
本研究涉及作为相互关联的公司和基础设施系统的工业园区的主体可持续性评估。尽管可持续性在几十年前就被引入主流政策话语中，但它仍然难以评估，因此难以以综合方式加以改进。对于工业园区等复杂结构而言尤其如此。然而，文献几乎没有努力为工业园区管理者提供工具，以便他们能够朝着可持续性方向做出决策。本文提出了一个面向工业园区管理者的可持续性评估框架。该模型基于多准则妥协聚合原则，并依赖于工业园区可持续性的初步系统部署。所提出的评估使用了双重聚合机制，使用加权算术平均值 (WAM) 和 Choquet 积分 (CI) 来考虑参与工业园区的利益相关者之间的相互关系。这种双重聚合产生了两个评估层次，为所研究的工业园区提供了更全面的视角。第一级评估允许管理者控制和改进其工业园区在可持续性每个支柱中的绩效。第二级评估是对整体可持续性的评估，这有助于管理者分析其实现可持续性的策略。作为说明，该模型用于评估加拿大一个工业园区的可持续性。模型的应用表明，考虑到管理者的长期可持续性战略，完成所研究的工业园区行动计划可实现 54%的可持续性绩效，并且他们对可持续性的看法适度有利于经济标准与环境或社会标准的同时满足。这些结果说明了该模型在指导管理者实现其工业园区可持续发展方面的能力。
