复杂城市系统与复杂系统理论的批判性分析

M. Dong
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引用次数: 5

摘要

近年来,深度神经复杂性理论在气候和环境研究中受到了新的关注。根据大多数关于城市气候适应能力的研究,城市是一个复杂的适应系统,因此,城市治理和设计应该从复杂适应系统的研究中得到启示。这意味着,为了减轻气候变化的不可预测性所带来的问题,气候变化治理必须是灵活的、参与性的和适应性的。本文对复杂城市系统,即复杂性理论背景下的气候变化治理这一主题进行了批判性的文献综述。本文认为,当前围绕复杂性理论的炒作夸大了该理论的相关性。复杂性理论在解释城市化和环境变化方面存在不足,因为它们是高度争议的社会现象。然而,它在引起人们对决策过程中不确定性现实的关注方面发挥了重要作用,这在气候变化的背景下当然是至关重要的,包括城市所依赖的不断变化的生态。许多复杂性理论的批评者指出,它倾向于展示城市发展是通过中性的进化力量发生的,这些力量可以被参与特定目标治理的个人理解和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Critical Analysis on Complex Urban Systems and Complex Systems Theory
Deep neural complexity theory has recently received new attention, particularly in the study of climate and the environment. According to the majority of the research on urban climate resilience, cities are complex adaptive systems, and as such, urban governance and design should take cues from the study of complex adaptive systems. This means that climate change governance, in order to mitigate the problems presented by climate change's unpredictability, has to be flexible, participatory, and adaptive. This article provides a critical literature review on the topic of Complex Urban Systems, i.e., climate change governance in the context of complexity theory. The paper argues that the current hype around complexity theory exaggerates the theory's relevance. Complexity theory falls short in explaining urbanization and environmental change since they are highly contested social phenomena. However, it serves a significant purpose in bringing attention to the uncertainty realities in the process of policy-making, which are certainly fundamental in the context of climate change, including the changing ecologies on which cities rely. Many critics of complexity theory point out that it tends to showcase urban developments are happening through neutral evolutionary forces, which can be comprehended, and governed by individuals engaged in governance for a particular objective.
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