可持续性科学中的公平和建模:整个过程中的例子和机会
Amanda Giang1,2, Morgan R Edwards3,4, Sarah M Fletcher5,6
1Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
概括
将公平融入可持续发展模式至关重要. 这种观点提供了一个框架和例子,以改善系统建模如何解决可持续未来的分配,程序和认知公平问题.
科学领域:
- 可持续性科学 可持续性科学
- 系统建模 系统建模
- 环境正义 环境正义
背景情况:
- 公平是可持续发展的基础,但当前的方法往往忽视了这一联系.
- 系统模型是可持续发展行动的关键工具,但需要更好地纳入股权.
- 将公平融入模型开发和应用中,带来了巨大的机遇和挑战.
研究的目的:
- 突出在将公平融入可持续性系统建模中的进展.
- 在系统建模 (分布式,过程式,认知式) 中提出公平性概念框架.
- 识别公平系统建模的挑战,紧张局势和未来方向.
主要方法:
- 审查和综合各种可持续性科学领域 (水,能源,空气质量,保护) 的例子.
- 在系统建模中开发一个关于股权维度的概念框架.
- 分析模型设计者在整个建模过程中如何与公平互动.
主要成果:
- 通过多元化的世界观和知识系统,在程序和认知公平方面取得了进展.
- 使用新的计算技术和数据,改进了分布不平等的表示.
- 通过将多种不同的建模方法联系起来,调查不平等驱动因素.
- 开发细微的指标来评估股权结果.
结论:
- 系统建模可以得到增强,以更好地支持公平和可持续的未来.
- 跨可持续发展科学领域的相互学习对于有效的公平建模至关重要.
- 未来的工作应该集中在使用模型来改变导致不平等的条件上.
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