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Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications
Integrated Environmental Assessment and Management ( IF 3.0 ) Pub Date : 2018-01-15 , DOI: 10.1002/ieam.4027
John F Carriger 1 , Brian E Dyson 1 , William H Benson 2
Affiliation  

This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a problem domain. Their graphical properties are useful for structuring causal knowledge relevant to policy interventions and can be used to enhance inference and inclusivity of multiple viewpoints. Qualitative components of influence diagrams are beneficial tools for identifying and examining the interactions among the critical variables in complex policy development and implementation. Policy interventions on social-environmental systems can be intuitively diagrammed for representing knowledge of critical relationships among economic, environmental, and social attributes. Examples relevant to coastal resiliency issues in the U.S. Gulf Coast region are developed to illustrate model structures for developing qualitative influence diagrams useful for clarifying important policy intervention issues and enhancing transparency in decision making. This article is protected by copyright. All rights reserved

中文翻译:


代表环境政策干预中的因果知识:定性影响图应用的优势和机遇



本文开发并探索了一种在环境政策和管理中使用定性影响图来支持决策工作的方法,以最大限度地降低风险并提高弹性。影响图是问题域的条件方面的表示。它们的图形属性对于构建与政策干预相关的因果知识非常有用,并且可用于增强多种观点的推理和包容性。影响图的定性成分是识别和检查复杂政策制定和实施中关键变量之间相互作用的有用工具。对社会环境系统的政策干预可以直观地绘制图表,以表示经济、环境和社会属性之间关键关系的知识。开发了与美国墨西哥湾沿岸地区沿海弹性问题相关的示例,以说明用于开发定性影响图的模型结构,这有助于澄清重要的政策干预问题和提高决策透明度。本文受版权保护。版权所有
更新日期:2018-01-15
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