加强和监测复杂工业项目的环境绩效:基于沟通的方法

IF 6.1 Q2 ENGINEERING, ENVIRONMENTAL
Joseph Mansour Salamé , Isabelle Nicolaï , Michael Saidani , Yann Leroy
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引用次数: 0

摘要

监测项目的环境绩效取决于有效的信息共享和指标,使利益相关者能够在整个项目阶段跟踪和推动环境决策。一些环境框架、评估工具、方法和标准可以指导这些绩效指标的定义。然而,对于行业参与者来说,理解、使用或调整现有的评估工具来匹配他们的业务和项目并不总是容易的。此外,为复杂的工业项目选择指标更具挑战性,因为涉及的利益相关者众多,每个人都有不同的角色,而且往往缺乏有效的结构化沟通。本文提出了一种基于沟通的方法来选择适合复杂工业项目的环境绩效指标。该方法利用拉斯韦尔的沟通模型,根据确定的目标为利益相关者分配指标提供者、接受者和专家的角色。拉斯韦尔的模型通过纳入利益相关者之间缺乏的共享方面来支持现有的评估框架。将该方法应用于铁路基础设施项目环境绩效指标的选择。这些项目本质上是复杂的,涉及多个具有重要技术专长的涉众,跨越几个较长的项目阶段。通过使用该方法,得出的指标不仅反映了科学的合理性,而且纳入了所有利益相关者的知识和利益。这种方法的一个关键特征是认识到选择环境指标是一项“协作挑战”。这一挑战只能通过结构化的信息交换来解决,从而允许从环境诊断到复杂项目的环境监测的过渡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing and monitoring the environmental performance of complex industrial projects: a communication-based approach
Monitoring the environmental performance of projects depends on effective information sharing and indicators that enable stakeholders to track and drive environmental decisions throughout project phases. Several environmental frameworks, assessment tools, methodologies, and standards can guide the definition of these performance indicators. However, it is not always easy for industrial actors to understand, use, or adapt the existing assessment tools to match their business and projects. Additionally, selecting indicators for complex industrial projects is more challenging due to the multiplicity of stakeholders involved, each with different roles, and often lacking effective structured communication.
This article proposes a communication-based approach for selecting environmental performance indicators appropriate to complex industrial projects. This method utilizes Lasswell's communication model to assign stakeholders the roles of indicators' providers, receivers, and experts based on defined objectives. Lasswell's model bolsters existing assessment frameworks by incorporating the sharing aspect among stakeholders that they lack.
The proposed method is used to select environmental performance indicators for monitoring rail infrastructure projects. These projects are inherently complex, involving multiple stakeholders with significant technical expertise across several long project phases.
By using this method, the resulting indicators not only reflect scientific soundness but also incorporate the knowledge and interests of all stakeholders involved. A key feature of this approach is the recognition that selecting environmental indicators is a ‘collaborative challenge’. This challenge can only be addressed through structured information exchange, allowing for a transition from environmental diagnosis to environmental monitoring of complex projects.
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来源期刊
Cleaner Environmental Systems
Cleaner Environmental Systems Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
0.00%
发文量
32
审稿时长
52 days
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