Research on Green View Index of Industrial Historical and Cultural Blocks Based on Spatial Metrics and Street Space Quality
In the revitalization of historical and cultural districts,vegetation plays a crucial role in enhancing street quality.The balancing of green visual experiences with other spatial metrics is a significant focus for improving the quality of Workers'Village historical and cultural streets in Shenyang.This study analyzes the current spatial status of the historical district,employing correlation analysis to explore the relationship between green view ratio and other spatial metrics,as well as their combined impact on street space quality.A multiple regression model is established to investigate the mechanism through which spatial quality is influenced by spatial metric characteristics in historical and cultural street areas.The research findings indicate:High values of green view ratio,visibility of historical buildings,enclosure,and landscape diversity are significant features in historical and cultural districts,while openness of sky and participation exhibit low significance and notable spatial differences.The spatial quality of historical and cultural districts is primarily influenced by green view ratio,openness of sky,visibility of historical buildings,and enclosure.Green view ratio shows a positive correlation with spatial quality but a negative correlation with other spatial metrics.This study is guided by a quantitative analysis of spatial metric features in historical and cultural street areas,proposing design guidelines for street spaces based on these metrics,thereby laying the groundwork for regulatory frameworks.
historic and cultural districtsgreen view indexstreet space qualitysemantic segmentationmultivariate linear regression model
万方数据
维普
