摘要
选取北京市不同区域的8个滨水街区,借助热力分析数据对其工作日和休息日的活力测度进行矢量处理,并定量对影响滨水街区活力的各项因素进行分析,采用地理探测器模型对各因子的影响进行排序。结果表明,滨水街区与各项因素存在不同的显著关联性,其中功能混合度对滨水街区活力的影响最大,其余依次是容积率、开敞度、公共交通频率、设施完备度、业态多样性,而房价对滨水街区活力分异的作用机制不明显,同时,不同影响因素共同作用时对滨水街区活力的影响更为显著。
In this paper,eight waterfront blocks in different regions of Beijing are selected for vector processing through the vitality measurement of weekdays and weekends using thermal analysis data,and the factors affecting the vitality of waterfront blocks are quantitatively analyzed.Then,the impact of each factor is ranked by a geographical detector model.The results indicate that waterfront blocks have a different and significant correlation with various factors,among which the mixed function degree has the greatest impact on the vitality of waterfront blocks.The other factors that have a significant impact are the floor area ratio,open degree,public transport frequency,facility completeness degree,and format diversity index,while the influence of housing price on the vitality differentiation of waterfront blocks is not obvious.Moreover,the combined results of different factors have a greater influence on the vitality of waterfront blocks.
出处
《建筑学报》
CSSCI
北大核心
2021年第S01期120-127,共8页
Architectural Journal
关键词
街区活力
滨水街区
影响因素
北京
block vitality
waterfront block
influencing factor
Beijing
