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Towards Environmental Justice in Transportation Decision Making using Structured Public Involvement

机译:利用结构化公众参与实现运输决策中的环境正义

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Environmental Justice (EJ), in the form of distributional justice, is mandated by a 1994Executive Order. However, EJ is not easily achieved. This article examines how a philosophybased on John Rawls’ theories of procedural justice and access to justice can address the need toachieve distributional justice (EJ).The DoT’s definition of EJ is used to explain how the philosophy of large groupprocesses can address the requirements. EJ research can be divided into identification andmitigation strategies. EJ mitigation strategies intersect with public involvement, which intransportation has a long, and often controversial, history. To improve procedural justice, theauthors examine how effective large-group processes might deliver high-performance publicinvolvement. To realize this contribution, methodological barriers in group performance arediscussed and the role of technologies such as electronic polling and visualization is discussed.The authors propose four process metrics for public involvement. Using Structured PublicInvolvement or SPI project data, the authors argue that designing processes that satisfy thesemetrics will help to improve procedural justice and thereby address specific EJ aims. Data fromthis research and the cross-disciplinary literature review illustrates that realizing this potentialimprovement will require; a philosophical shift to a higher Arnstein Ladder level; theidentification and use of stronger mixtures of methodologies for involving large groups ofcitizens with diverse values; and the integration of these valuations into effective decisionsupport systems for project managers and engineers.
机译:1994年授权采用分配正义形式的环境正义(EJ) 行政命令。但是,很难实现EJ。本文探讨了一种哲学 基于约翰·罗尔斯(John Rawls)的程序正义理论和诉诸司法的权利,可以解决 实现分配正义(EJ)。 DoT对EJ的定义用来解释大集团的哲学 流程可以满足需求。 EJ研究可分为识别和 缓解策略。 EJ缓解策略与公众参与相交, 运输历史悠久,而且经常引起争议。为了提高程序公正性, 作者研究了大型团体流程如何有效地交付高性能公众 参与。为了实现这一贡献,小组绩效的方法障碍是 讨论,并讨论了电子轮询和可视化等技术的作用。 作者提出了四个公众参与的过程指标。使用结构化公共 涉及SPI项目数据的作者认为,设计满足这些要求的过程 指标将有助于改善程序公正性,从而解决EJ的特定目标。来自的数据 这项研究和跨学科文献综述表明,实现这一潜力 需要改进;从哲学上转移到更高的阿恩斯坦梯子水平;这 确定和使用更强的混合方法来涉及大批人 具有不同价值观的公民;并将这些估值整合到有效决策中 项目经理和工程师的支持系统。

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