Towards Data-Driven Environmental Policy Design

迈向数据驱动的环境政策设计

• 批准号: EP/K012479/1
• 负责人: Christian Wagner
• 金额: $ 20.53万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK012479%2F1
• 关键词: Towards; Data; Driven; Environmental; Policy

The Western Australian State Government Department of Environment and Conservation (DEC) is managing the allocation of environmental conservation resources and funds within priority areas of high conservation significance. A particular challenge in this process, exacerbated by limited resources, is the actual identification of priority biological assets within these conservation areas. In many situations, assets will need to be prioritised by taking into account the generally large number of relevant parameters which include quantitative estimates such as asset irreplaceability as well as stakeholder opinions on relevant values (recreational, aesthetical). These stakeholders include land owners, local residents and local government authorities. DEC has developed a framework which requires the capture of human values and the quantification of their delivery by biological assets such as species of animals and biological communities. The values are used to rank biological assets as a crucial input to environmental policy, planning and management. The aim of this project is to deliver a methodology to capture and aggregate multiple heterogeneous data sources and any associated uncertainty in a real world environmental conservation context in order to support data-driven environmental policy design. The project will entail a close collaboration between DEC and the UK Horizon Digital Economy Research Institute where the former contributes their significant expertise and real world involvement in environmental conservation and policy design, and the latter leverages their expertise in data aggregation in a Digital Economy (DE) context where large numbers and types of different information sources are pervasive. The project will focus on two main stages: first, eliciting information (and its uncertainty) about the human value derived by different biological assets; second, modelling the captured qualitative (stakeholder opinions) and existing quantitative (e.g. asset area) data and associated uncertainty. In doing so, we will develop and evaluate data aggregation algorithms & tools based on Fuzzy Sets and Systems and/or Fuzzy Measures & Fuzzy Integrals. The real-world application of the developed framework by DEC in conservation areas in Western Australia will provide concrete support for environmental policy-making in those areas. The project will also provide unique insights into the capacity of both the developed framework and data-driven policy design in general and in the context of environmental protection in Australia and abroad. The knowledge gained will further inform the potential for data-driven policy design in the DE in other areas where large numbers of stakeholders and information sources are pervasive.

西澳大利亚州政府环境和保护部（DEC）正在管理环境保护资源和资金在具有高度保护意义的优先领域的分配。这一进程中的一个特别挑战是如何实际确定这些保护区内的优先生物资产，而资源有限又加剧了这一挑战。在许多情况下，需要通过考虑通常大量的相关参数来确定资产的优先级，这些参数包括定量估计，例如资产的不可替代性以及利益相关者对相关价值（娱乐，美学）的意见。这些利益攸关方包括土地所有者、当地居民和地方政府当局。DEC制定了一个框架，要求通过生物资产，如动物物种和生物群落，捕捉人类价值并量化其交付。这些价值被用来将生物资产列为环境政策、规划和管理的关键投入。该项目的目的是提供一种方法来捕获和汇总多个异构数据源和任何相关的不确定性，在真实的世界环境保护的背景下，以支持数据驱动的环境政策设计。该项目将需要DEC和英国地平线数字经济研究所之间的密切合作，前者贡献了他们在环境保护和政策设计方面的重要专业知识和真实的世界参与，后者利用他们在数字经济（DE）背景下的数据汇总方面的专业知识，其中大量和类型的不同信息源无处不在。该项目将侧重于两个主要阶段：第一，获取关于不同生物资产所产生的人类价值的信息（及其不确定性）;第二，对收集到的定性（利益攸关方意见）和现有定量（例如资产领域）数据及相关不确定性进行建模。在此过程中，我们将开发和评估基于模糊集和系统和/或模糊测度和模糊积分的数据聚合算法和工具。DEC开发的框架在西澳大利亚州保护区的实际应用将为这些地区的环境决策提供具体支持。该项目还将提供独特的见解，以了解澳大利亚和国外环境保护背景下制定的框架和数据驱动的政策设计的能力。所获得的知识将进一步为数据驱动的政策设计在其他领域提供信息，在这些领域，大量的利益攸关方和信息来源无处不在。

项目成果

Analysing fuzzy sets through combining measures of similarity and distance

通过结合相似性和距离度量来分析模糊集

• 发表时间: 2014
• 期刊: Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
• 作者: McCulloch J

Measuring the similarity between zSlices general type-2 fuzzy sets with non-normal secondary membership functions

使用非正态二级隶属函数测量 zSlices 一般 2 类模糊集之间的相似性

• DOI: 10.1109/fuzz-ieee.2016.7737723
• 发表时间: 2016
• 作者: McCulloch J

A fuzzy directional distance measure

模糊定向距离测度

• 发表时间: 2014
• 期刊: Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
• 作者: McCulloch J

Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets

将区间2型模糊集的相似性测度扩展到一般2型模糊集

• DOI: 10.1109/fuzz-ieee.2013.6622408
• 发表时间: 2013
• 作者: McCulloch J

"Give me what I want"-enabling complex queries on rich multi-attribute data

“给我我想要的”——实现对丰富的多属性数据的复杂查询

• 发表时间: 2015
• 期刊: Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on
• 作者: McCulloch J