Limits of space syntax for urban design: Axiality, scale and sinuosity

Limits of space syntax for urban design: Axiality, scale and sinuosity
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城市设计空间语法的限制:轴性、尺度和蜿蜒度

DOI:
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发表时间:
2018
期刊:
Environment and Planning B Urban Analytics and City Science
影响因子:
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通讯作者:
G. Aschwanden
G. Aschwanden
中科院分区:
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文献类型:
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作者:
Elek Pafka;K. Dovey;G. Aschwanden

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将城市作为一种运动经济进行空间句法分析,有助于我们理解城市的空间结构,特别是网络整合与密度、功能组合和街道生活活力之间关系的地图的重要性。这使得城市研究人员开始关注城市社会性与空间性之间关系的重要性。句法分析的主要方法包括将城市形态简化为一组空间轴;在这里,我们探讨了这种分析在城市设计中的一些局限性。长期以来,轴向模型的拓扑分析在考虑距离、比例尺和蜿蜒的街道景观方面存在问题。对解决这些问题的轴线方法的现有适应进行了建模,并表明对相同的城市形态产生了广泛的结果。在每种情况下,我们还比较了不同的向移动和通过移动的能力--“贴近中心性”和“中间中心性”之间的区别,这表明网络整合是多重的。我们认为,轴向分析优先考虑可见性,而不是可访问性,并且会在可步行的尺度上产生扭曲的地图;在测试的方法中,只有一种方法测量了渗透性和可步行访问。空间句法分析是一个强大的工具,对这些限制的理解越好,它就越有用。
Space syntax analysis of the city as a movement economy has made major contributions to our understanding of the spatial structure of cities, particularly the importance of a mapping of network integration in relation to density, functional mix and streetlife vitality. It has focused attention of urban researchers onto the importance of the relations between the sociality and spatiality of the city. The primary methods of syntactic analysis involve a reduction of urban morphology to a set of spatial axes; here, we explore some limits to such analysis for urban design. Topological analysis of axial models has long recognized problems in accounting for distance, scale and sinuous streetscapes. Existing adaptations to axial methods that address such problems are modelled and shown to produce a broad range of results for the same urban morphology. In each case, we also compare different capacities for to-movement and through-movement – the distinction between ‘closeness centrality’ and ‘betweenness centrality’ that shows that network integration is multiple. We argue that axial analyses privilege visibility over accessibility and can produce distorted mapping at walkable scales; only one of the methods tested measures permeability and walkable access. Space syntax analysis is a powerful tool that will be more useful the better such limits are understood.