Identifying and matching ventilation spaces in old urban areas from the perspective of supply and demand
Urban ventilation space,as a place for wind environment optimization,is also an important carrier for heat island effect mitigation and residents'comfort improvement.The study of ventilation space in old urban areas based on the perspective of supply and demand can provide support and guidance for the adaptive and low-carbon development strategies adopted by cities to address global climate change.Taking Xuhui District in Shanghai,Liwan District in Guangzhou,Gulou District in Nanjing,and Qiaokou District in Wuhan as examples,the ventilation supply index(VSI)and ventilation demand index(VDI)were constructed based on architectural morphology data,remote sensing data,point of interest(POI)data,and resident population density data to evaluate the ventilation supply capacity and demand level of the old urban areas,respectively.Then,a bivariate local spatial autocorrelation model was used to measure the degree of correlation between ventilation supply space and demand space.Additionally,this study identified different types of ventilation supply and demand areas and priority areas for regulatory intervention.The results show that:1)The old urban areas have low average ventilation supply coefficients and high average ventilation demand coefficients,both of which have significant spatial heterogeneity.High supply coefficients are mainly distributed in open spaces such as green space and water,while high demand coefficients are mainly clustered in high-density and high-development intensity spaces.2)The ventilation supply and demand spaces in the old urban areas include four types:high supply-high demand,low supply-low demand,high supply-low demand,and low supply-high demand.The proportion of spatial units with low supply-high demand is approximately 14.9％to 19.7％.This indicates that the matching of ventilation supply and demand in the old urban areas is not optimistic,and there is an urgent need for control and optimization to enhance the ventilation supply capacity.3)The high-priority control areas in the old urban areas are Xujiahui Street in Xuhui District,Shanghai;Hualin Street,Duobao Street,Lingnan Street,Shamian Street,and Huadi Street in Liwan District,Guangzhou;Huaqiaolu Street,Hunanlu Street,and Yijiangmen Street in Gulou District,Nanjing;and Zongguan Street and Hanzheng Street in Qiaokou District,Wuhan.
urban ventilation spacesupply and demand matchingbivariate local spatial autocorrelation modelcontrol priorityold urban areas
万方数据
维普
