绿色绅士化与环境不公

English | 2024 | ISBN: 978-3-031-65100-7 | 209 pages | True PDF,EPUB | 18.1 MB

This book argues that, given the complex nature of the urban environment, we cannot find one optimal solution to reducing environmental injustice, in part because there is no singular cause. Environmental injustice emerges in particular settings because of the combined and interdependent effects of a variety of different policy and community characteristics. The authors argue that addressing these interlinked problems requires an understanding of the clusters of community and contextual factors that combine in a variety of ways to both create problems and imply policy approaches to managing them. They argue for the use of complexity-informed methods to assist in making public policy choices, such as Qualitative Comparative Analysis (QCA) and Agent-based Modeling (ABM), to enable us to better identify plausible solutions for specific contexts.

This volume offers a new perspective for strategically managing urban policy that considers the risk of gentrification and gentrification-related displacement, with the ultimate goal of improving social justice. Environmental injustice, pollution remediation, gentrification, and displacement are interlinked problems, all of which impinge on social justice in US cities. However, public policy research, and often practice as well, has tended to separately consider urban policy issues such as environmental injustice, brownfields and other pollution remediation, how to redevelop neighborhoods, and how to contend with gentrification and displacement. In this book the authors take a new perspective to such intertwined urban policy issues, using complexity thinking and, more importantly, complex adaptive systems approaches, in order to develop context-sensitive policy approaches to managing these ongoing problems.

中文| 2024 | ISBN:978-3-031-65100-7 | 209页| True PDF，EPUB | 18.1 MB本书认为，鉴于城市环境的复杂性，我们无法找到减少环境不公正的最佳解决方案，部分原因是没有单一的原因。由于各种不同政策和社区特征的综合和相互依存的影响，环境不公正在特定环境中出现。作者认为，解决这些相互关联的问题需要了解社区和背景因素的集群，这些因素以各种方式结合在一起，既造成了问题，又暗示了管理问题的政策方法。他们主张使用复杂性知情方法来协助做出公共政策选择，如定性比较分析（QCA）和基于代理的建模（ABM），使我们能够更好地为特定情境确定合理的解决方案。 本书为战略性管理城市政策提供了一个新的视角，该政策考虑了中产阶级化和与中产阶级化相关的流离失所的风险，最终目标是改善社会正义。环境不公正、污染修复、中产阶级化和流离失所是相互关联的问题，所有这些都影响了美国城市的社会正义。然而，公共政策研究以及实践往往倾向于分别考虑城市政策问题，如环境不公正、棕地和其他污染修复、如何重建社区以及如何应对中产阶级化和流离失所。在这本书中，作者对这些相互交织的城市政策问题采取了新的视角，使用复杂性思维，更重要的是，使用复杂的适应系统方法，以制定对环境敏感的政策方法来管理这些持续存在的问题。

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