Participatory Framework for Assessment and Improvement of Tools (ParFAIT): Increasing the impact and relevance of water management decision support research
Participatory Framework for Assessment and Improvement of Tools (ParFAIT): Increasing the impact and relevance of water management decision support research
复制标题
工具评估和改进参与式框架（ParFAIT）：提高水管理决策支持研究的影响力和相关性
DOI：
10.1016/j.envsoft.2017.05.004
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
L. Dilling
中科院分区：
文献类型：
--
作者：
Rebecca Smith;J. Kasprzyk;L. Dilling
本文提出了参与式工具评估和改进框架（ParFAIT）作为解决水资源系统优化（WRSO）工具使用率低的一种方法。ParFAIT是一个跨学科的过程，分五个阶段进行，其中两个阶段是参与式建模（PM）练习。在这里，我们描述了框架，介绍了我们的候选工具-多目标进化算法（MOEA）辅助优化，并展示了我们第一次PM研讨会的结果。moea辅助优化作为公用事业面临大量决策和高度不确定的未来时的规划和决策辅助手段被提出。2015年2月，来自科罗拉多州Front Range的六家水务公司的代表参加了PM研讨会，旨在征求对工具测试平台的意见。我们的研究结果包括对决策景观的扩展描述，对水资源利用决策的反馈和WRSO研究中常用的绩效目标，以及值得研究人员未来研究的新问题。
This paper proposes the Participatory Framework for Assessment and Improvement of Tools (ParFAIT) as a way to address low uptake of Water Resources Systems Optimization (WRSO) tools. ParFAIT is a transdisciplinary process conducted in five stages, two of which are participatory modeling (PM) exercises. Herein we describe the framework, introduce our candidate tool- Multiobjective Evolutionary Algorithm (MOEA)-assisted optimization, and present the results of our first PM workshop. MOEA-assisted optimization has been put forth as a planning and decision making aid for utilities facing a large number of decisions and highly uncertain futures. The PM workshop, designed to solicit input on a tool testbed, was held in February 2015 with representatives from six Front Range, Colorado, water utilities. Our results include an expanded characterization of the decision making landscape, feedback on water utility decisions and performance goals commonly employed in WRSO studies, and new questions that warrant future investigation by researchers.
影响因子：
14.6
作者：
Martijn Gough
通讯作者：
Martijn Gough
影响因子：
6
作者：
Lang, Daniel J.;Wiek, Arnim;Thomas, Christopher J.
通讯作者：
Thomas, Christopher J.