北京街区活力影响机制及空间分异特征研究——基于多尺度地理加权回归

RESEARCH ON THE INFLUENCE MECHANISM AND SPATIAL HETEROGENEITY CHARACTERISTICS OF BLOCK VITALITY IN BEIJING:BASED ON MULTI-SCALE GEOGRAPHICALLY WEIGHTED REGRESSION

以北京市五环内街区作为研究对象,通过相关性分析、空间自相关分析对街区活力及其影响因素在空间上的相似性和依赖性进行分析,利用多尺度地理加权回归模型,进一步分析街区活力的空间分异特征。相比传统的多元线性回归模型和地理加权回归模型,多尺度地理加权回归不仅能有效分析街区活力在空间上的异质性,更能自动调节不同影响因素的回归带宽,进而更真实地反映影响街区活力的影响因素在空间上的变化。结果表明,北京市街区活力整体上呈现明显的“马太效应”,且各影响因素在不同街区呈现出明显的影响力大小差异性分布情况。

Taking blocks within the Fifth Ring Road in Beijing as the research object,this paper analyzes the spatial similarity and dependence of block vitality and its influencing factors through correlation analysis and spatial autocorrelation analysis,and further examines the spatial heterogeneity characteristics of block vitality using a multi-scale geographically weighted regression model.Compared with the traditional multiple linear regression model and geographically weighted regression model,multi-scale geographically weighted regression can not only effectively analyze the spatial heterogeneity of block vitality,but also automatically adjust the regression bandwidth of different influencing factors,so as to reflect the real spatial changes of factors influencing block vitality.The results show that the overall block vitality in Beijing shows an obvious“Matthew effect”,and the influence of various factors on vitality shows an obvious differential distribution pattern in different blocks.