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DOI | 10.1002/ieam.2027 |
Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications | |
Carriger, John F.1; Dyson, Brian E.1; Benson, William H.2 | |
发表日期 | 2018-05-01 |
ISSN | 1551-3777 |
卷号 | 14期号:3页码:381-394 |
英文摘要 | 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 US 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. Integr Environ Assess Manag 2018;14:381-394. Published 2018. This article is a US Government work and is in the public domain in the USA. |
英文关键词 | Influence diagrams;Causality;Evidence-based policy;Coastal resiliency;Watershed conservation practices |
语种 | 英语 |
WOS记录号 | WOS:000430059200007 |
来源期刊 | INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT
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来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/60403 |
作者单位 | 1.US EPA, Natl Risk Management Res Lab, Land & Mat Management Div, Life Cycle & Decis Support Branch, Cincinnati, OH 45268 USA; 2.US EPA, Natl Hlth & Environm Effects Res Lab, Gulf Breeze, FL USA |
推荐引用方式 GB/T 7714 | Carriger, John F.,Dyson, Brian E.,Benson, William H.. Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications[J]. 美国环保署,2018,14(3):381-394. |
APA | Carriger, John F.,Dyson, Brian E.,&Benson, William H..(2018).Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications.INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT,14(3),381-394. |
MLA | Carriger, John F.,et al."Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications".INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 14.3(2018):381-394. |
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