Towards Data-Driven Environmental Policy Design

迈向数据驱动的环境政策设计

基本信息

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

项目摘要

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与保护部（DEC）正在管理具有较高保护意义的优先领域内环境保护资源和资金的分配。在此过程中，由于资源有限的加剧，这一过程中的一个特殊挑战是对这些保护领域内的优先生物学资产的实际识别。在许多情况下，需要考虑到大量相关参数，包括资产估计值，例如资产不可替代性以及利益相关者对相关价值（娱乐性，审美）的意见。这些利益相关者包括土地所有者，当地居民和地方政府当局。 DEC开发了一个框架，该框架需要捕获人类价值观，并通过生物资产（例如动物和生物群落物种）量化其传递。这些值用于对生物资产进行对环境政策，计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质数据源以及现实世界环境保护环境中的任何相关不确定性，以支持数据驱动的环境政策设计。该项目将需要在DEC与英国地平线数字经济研究所之间进行密切合作，在该研究所中，前者在环境保护和政策设计中贡献了重要的专业知识和现实世界的参与，后者利用了他们在数字经济（DE）环境中的数据聚合方面的专业知识，其中大量和类型的不同信息来源无处不在。该项目将重点关注两个主要阶段：第一，引起有关不同生物学资产获得的人类价值的信息（及其不确定性）；其次，对被捕获的定性（利益相关者意见）和现有定量（例如资产领域）数据和相关的不确定性进行建模。在此过程中，我们将基于模糊集和系统和/或模糊措施和模糊积分来开发和评估数据聚合算法和工具。 DEC在西澳大利亚州的保护区中开发的框架对开发框架的现实应用将为这些地区的环境政策制定提供具体的支持。该项目还将在澳大利亚和国外的环境保护下，对开发框架和数据驱动的政策设计的能力以及数据驱动的政策设计的能力提供独特的见解。所获得的知识将进一步为DE的数据驱动政策设计的潜力提供信息，在其他领域，在其他领域，许多利益相关者和信息源普遍存在。