Research on the Influence Factors and Spatial Characteristics of Urban Coastal Space Vitality via Multi-Scale Geographically Weighted Regression:A Case Study of Tsingtao East Coast
Research on the Influence Factors and Spatial Characteristics of Urban Coastal Space Vitality via Multi-Scale Geographically Weighted Regression:A Case Study of Tsingtao East Coast
Urban coastal space is an important public space resource in cities,and its vitality is an external characterization of spatial quality.Taking the east coast of Qingdao as an example,this article uses the spatiotemporal distribution of crowds reflected by Baidu Heatmap to describe the vitality of coastal spaces.Through spatial autocorrelation analysis,the spatial differentiation and clustering characteristics of its vitality are analyzed.Furthermore,the Multiscale Geographically Weighted Regression(MGWR)model is used to further analyze the influencing mechanism of coastal space vitality.The results showed that the vitality of the coastal space on the east coast of Qingdao has strong spatial autocorrelation and exhibits an east-high and west-low spatial pattern.The vegetation index of open public spaces along the coast,shoreline form,spatial compactness,and the accessibility of surrounding transportation,as well as residential density,have significant effects on the vitality of coastal spaces.Moreover,compared with other models,the MGWR model has a better fit and can more accurately reflect the spatial variation of factors affecting vitality.This study provides new research ideas and methods for exploring the vitality and influencing factors of urban coastal spaces,and also offers guidance and suggestions for the spatial optimization and planning of urban coastal spaces.
万方数据