Data-driven Urban Road Greening Planning:Multi-dimensional Quality Assessment and Optimization by Incorporating Street View Data
This study aims to improve the green quality of urban design and policies from a human perspective and through quality enhancement.A total of 48 streets in the main urban area of Suzhou were selected for multi-dimensional evaluation of urban road greening quality using three indicators:average NDVI,PGVI,and daily activity network accessibility.The study screened for roads with high network accessibility but low green coverage and further analyzed the causes of the green layout and design for the three types of low-green-quality roads.The results showed that the green quality of urban roads could be effectively improved by increasing the adjacent green coverage and permeability,increasing the green area of sidewalks and lanes,and creating three-dimensional green spaces by changing perspectives.These research findings provide useful references for urban greening planning and design.
万方数据
维普
