西安建筑科技大学学报(自然科学版)

高质量的站域空间设计需要科学的测度方法为支撑.为了实现地铁站域街道空间品质的大规模测度,依托街道网络、POI、街景图片等多源大数据的巨量规模和高精度优势,构建了以连通性、便利性与舒适性为核心的多维评价体系.同时以成都市中心城区的73个地铁站域为例进行实证研究,发现中心城区地铁站域内街道便利性与舒适性普遍较好,连通性较差.以站域为单位测度各维度水平,发现站域各维度评价结果在空间和数量分布特征差异显著.同时针对不同层级站点,从不同圈层尺度上进行了差异化研究,发现各层级站域核心区的连通性与便利性普遍高于辐射影响区,舒适性则相反.结论为成都地铁场站一体化城市设计及TOD圈层规划提供了定量参照和科学支撑.

High-quality spatial design of the catchment area needs the support of scientific measurement methods. With the goal of realizing large-scale measurement of street space quality in the metro station catchment area, a multi-dimensional evaluation system with connectivity, convenience and comfort as the core is built, relying on the huge scale and high precision of multisource big data such as street network, POI, street view pictures, etc. Meanwhile, an empirical study is conducted on the 73 catchment areas in downtown Chengdu, and it is found that the convenience and comfort of the streets in the catchment areas in downtown Chengdu are generally good, but the connectivity is poor. It is found that the spatial and quantitative distribution characteristics of catchment areas differ significantly in each dimension. Also for each hierarchy of stations, differentiated research from different circle scales. It is found that the core area have higher connectivity and convenience than the radiation-affected area, while the opposite is true for comfort. The conclusion provides quantitative reference and scientific support for the integrated urban design of metro stations and TOD circle planning in Chengdu.

引言
1 研究范围与目标
2 多维度评价体系的构建
3 成都地铁站域街道空间品质的多维评价
4 结论

图1 研究范围
Fig.1 Scope of the study

图2 多源大数据
Fig.2 Multisource big data

表1 各级指标及其权重<br/>Tab.1 Indexes and weights at all levels

表1 各级指标及其权重
Tab.1 Indexes and weights at all levels

表2 相关性分析
Tab.2 Relevance analysis

图3 站域街道各维度分析结果<br/>Fig.3 Results of the analysis of multi-dimensional of catchment area streets

图3 站域街道各维度分析结果
Fig.3 Results of the analysis of multi-dimensional of catchment area streets

图4 站域街道空间品质分析结果<br/>Fig.4 Results of spatial quality analysis of catchment areas

图4 站域街道空间品质分析结果
Fig.4 Results of spatial quality analysis of catchment areas

图5 站域连通性分析结果<br/>Fig.5 Results of catchment area connectivity analysis

图5 站域连通性分析结果
Fig.5 Results of catchment area connectivity analysis

图6 站域便利性分析结果<br/>Fig.6 Results of catchment area convenience analysis

图6 站域便利性分析结果
Fig.6 Results of catchment area convenience analysis

图7 站域舒适性分析结果<br/>Fig.7 Results of catchment area comfort analysis

图7 站域舒适性分析结果
Fig.7 Results of catchment area comfort analysis

图8 各层级站域圈层范围<br/>Fig.8 Circle scoping of catchment areas at each hierarchy

图8 各层级站域圈层范围
Fig.8 Circle scoping of catchment areas at each hierarchy

表3 各层级站点圈层分析结果<br/>Tab.3 Circle analysis results for each hierarchy of catchment areas

表3 各层级站点圈层分析结果
Tab.3 Circle analysis results for each hierarchy of catchment areas

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备注

引言

1 研究范围与目标

2 多维度评价体系的构建

3 成都地铁站域街道空间品质的多维评价

4 结论

期刊信息