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基于多源数据方法的街道空间品质与活力耦合性研究——以广州市天河区为例

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本文基于马斯洛需求层次理论,构建街道空间品质评价指标体系,以广州市天河区为例,运用多源数据方法对街道空间环境进行测度,采用空间计量模型、热点分析和实地调研法对三种尺度下街道空间品质与街道活力的耦合性进行研究,旨在为粤港澳大湾区同类型城市街道空间的品质评价和设计优化提供有益参考.
RESEARCH ON THE COUPLING RELATIONSHIP BETWEEN STREET SPATIAL QUALITY AND VITALITY BASED ON MULTI-SOURCE DATA METHODOLOGY:A CASE OF TIANHE DISTRICT,GUANGZHOU
Based on Maslow's hierarchy of needs theory,this paper constructs an evaluation index system for street space quality.Taking Tianhe District,Guangzhou as an example,multi-source data methods are employed to measure the street space environment.Spatial econo-metric models,hotspot analysis and field research meth-ods are adopted to investigate the coupling relationship between street space quality and vitality at three scales.The findings of this paper aim to provide valuable refer-ences for the quality evaluation and design optimization of street spaces in similar cities within the Guangdong-Hong Kong-Macao Greater Bay Area.

multi-source data approachstreet spatial qualitystreet vibrancycouplingTianhe DistrictGuang-zhou

李敏稚、范仲秀

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华南理工大学建筑学院

华南理工大学风景园林系

亚热带建筑与城市科学全国重点实验室

多源数据方法 街道空间品质 街道活力 耦合性 广州市天河区

2024

当代建筑

当代建筑

ISSN:
年,卷(期):2024.(11)