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多源数据结合的城市生活空间质量评价——以南京为例

多源数据结合的城市生活空间质量评价——以南京为例

ISSN:1003-2398
2019年第34卷第6期
社会
李兆中1,2, 甄峰1,2 LI Zhao-zhong1,2, ZHEN Feng1,2
1. 南京大学 建筑与城市规划学院, 南京 210093;2. 江苏省智慧城市设计仿真与可视化技术工程实验室, 南京 210093 1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China; 2. Provincial Engineering Laboratory of Smart City Design Simulation&Visualization, Nanjing 210093, China

在当前我国社会经济转型的背景下,城市生活空间质量成为居民、学界与政府关注的焦点。采用多源数据,拓展了已有城市生活空间质量的评价维度与评价方法,从舒适性、便利性、健康性、安全性、社会性五个维度构建了评价指标体系,并通过GIS空间分析方法,以南京为例进行了生活空间质量评价并识别其空间分布规律。实证分析表明:①南京的城市生活空间质量存在着明显的空间分异。高质量生活空间呈现明显的等级集聚特征,主中心位于核心区周边1-3 km的圈层,低质量生活空间总体分布较为分散。②在构成生活空间质量的五个维度中,舒适性和社会性的发展质量呈现由城市中心向外围递增的趋势,便利性的发展质量呈现由城市中心向外围递减的趋势,健康性受城市环境质量分布趋势的影响,呈现由西北向东南递减的趋势,安全性的高值集聚不显著而低值集聚于城市中心区。

Under the background of the socio-economic transition in China, the quality of urban life space has been strongly focused by residents, scholars and the government. The paper uses multi-source data to expand the evaluation dimension and method of urban living space quality and constructs the evaluation index system from five dimensions: comfort, convenience, health, safety, and sociality. Taking Nanjing as an example, the paper evaluates the living space quality by GIS spatial analysis to find the distribution law of urban living space quality in Nanjing. The empirical analysis shows that: 1)There is obvious spatial differentiation in the urban living space quality of Nanjing. The high-quality living space presents an obvious hierarchical agglomeration feature. The main center is located in the circle of 1-3km around the core area, and the overall distribution of low-quality living space is more dispersed. 2)Among the five dimensions that constitute the quality of living space, the quality of comfort and sociality is increasing from the center to the periphery. The quality of convenience is declining from the center to the periphery. The quality of health is declining from the northwest to the southeast. The high value of safety is not significant and the low value is concentrated in the city center. Based on the analysis, the optimization measures were proposed for planning practice.

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ISSN:1003-2398
2019年第34卷第6期
社会

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