网格不是树:走向亚历山大与马丁城市形态观的调和

IF 1.7 Q3 URBAN STUDIES Urban Planning Pub Date : 2023-05-09 DOI:10.17645/up.v8i3.6291
N. Nguyen, K. Alawadi, Sara Al Hinai
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引用次数: 1

摘要

克里斯托弗·亚历山大(Christopher Alexander)有一句名言:“城市不是一棵树”,而莱斯利·马丁(Leslie Martin)则宣称“电网是一台发电机”。本文将研究Alexander对重叠、适应性和秩序的呼吁是如何在网格网络中得到体现的,正如Martin所说的那样。秩序是用街道方向的熵来衡量的,适应性是用街道的间值来表示的。通过对阿布扎比社区和全球城市地区的分析,该研究揭示了网格街道网络中重叠、秩序和适应性可以共存。网格的细粒度尺度在支持城市空间质量方面起着至关重要的作用。为了促进适应,规划政策应侧重于适应性,为非正式和自发的增长提供空间。我们最后指出,这种方法代表了克里斯托弗·亚历山大的观点和莱斯利·马丁的观点之间的和解。
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A Grid Is Not a Tree: Toward a Reconciliation of Alexander’s and Martin’s Views of City Form
Christopher Alexander famously declared that “a city is not a tree,” while Leslie Martin declared that “the grid is [a] generator.” This article investigates how Alexander’s call for overlap, adaptability, and order can indeed be manifested in grid networks, as Martin claimed. Order has been measured using the entropy of street orientation, while adaptability has been denoted by the streets’ betweenness values. Through the analysis of Abu Dhabi’s neighborhoods and global urban areas, the study reveals that overlap, order, and adaptability can coexist in gridded street network. A fine-grain scale of the grid plays a critical role in supporting the quality of urban space. To foster adaptation, planning policies should focus on adaptability providing room for informal and spontaneous growth. We conclude by noting that this approach represents a reconciliation between Christopher Alexander’s views and those of Leslie Martin.
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来源期刊
Urban Planning
Urban Planning URBAN STUDIES-
CiteScore
3.60
自引率
5.60%
发文量
124
审稿时长
12 weeks
期刊介绍: Urban Planning is a new international peer-reviewed open access journal of urban studies aimed at advancing understandings and ideas of humankind’s habitats – villages, towns, cities, megacities – in order to promote progress and quality of life. The journal brings urban science and urban planning together with other cross-disciplinary fields such as sociology, ecology, psychology, technology, politics, philosophy, geography, environmental science, economics, maths and computer science, to understand processes influencing urban forms and structures, their relations with environment and life quality, with the final aim to identify patterns towards progress and quality of life.
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