识别、预测和评估非正规城市扩张空间模式

IF 2.7 4区 环境科学与生态学 Q1 AGRICULTURE, MULTIDISCIPLINARY
B. Tellman, H. Eakin, B. Turner
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引用次数: 4

摘要

非正式的城市土地扩张是通过各种社会和政治交易产生的,但通常无法获得捕获这些交易的“像素化”数据。理解非正式城市化需要区分非正式住区与正式增长的空间模式,将这些模式与产生这些模式的社会交易联系起来,并评估不同住区类型的社会和环境结果。要证明不同的城市空间格局与社会体制进程之间的因果关系,既需要高分辨率的城市变化时空时序数据,也需要深入了解导致这些格局的社会交易。我们展示了一个将墨西哥城非正式城市扩张的不同空间模式与制度过程联系起来的例子。本文提出的方法可以应用于各种情况,有可能改善以高度非正式性为特征的快速城市化的全球南方国家的土地预测模型。最后,我们提出了一个研究议程,以确定、规划和评估非正式的城市扩张模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying, projecting, and evaluating informal urban expansion spatial patterns
ABSTRACT Informal urban land expansion is produced through a diversity of social and political transactions, yet ‘pixelizable’ data capturing these transactions is commonly unavailable. Understanding informal urbanization entails differentiating spatial patterns of informal settlement from formal growth, associating such patterns with the social transactions that produce them, and evaluating the social and environmental outcomes of distinct settlement types. Demonstrating causality between distinct urban spatial patterns and social-institutional processes requires both high-resolution spatial temporal time-series data of urban change and insights into social transactions giving rise to these patterns. We demonstrate an example of linking distinct spatial patterns of informal urban expansion to the institutional processes each engenders in Mexico City. The approach presented here can be applied across cases, potentially improving land projection models in the rapidly urbanizing Global South, characterized by high informality. We conclude with a research agenda to identify, project, and evaluate informal urban expansion patterns.
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来源期刊
Journal of Land Use Science
Journal of Land Use Science Environmental Science-Management, Monitoring, Policy and Law
CiteScore
5.40
自引率
6.20%
发文量
26
期刊介绍: The Journal of Land Use Science provides a central outlet for high-quality articles on theoretical and empirical aspects of land-use science at the interface of social and environmental systems. The Journal brings together an array of research perspectives at multiple temporal, spatial and social scales that contribute a better understanding of land-system dynamics and communicate scientific advances towards attaining land-system sustainability.
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