Impact of GIS-supported three-dimensional urban building patterns on road traffic noise
Road traffic noise has strong spatial and temporal characteristics Based on geographic information perspective,this paper selects a complex ring road in southwest city as the research object,constructs a geographic information system(GIS)prediction system for ring road traffic noise,and explores the relationship between urban three-dimensional architectural pattern and road traffic noise pollution through correlation analysis and construction of geographically weighted regression(GWR)model.The results show that the GIS prediction results of ring road traffic noise conform to normal distribution,and there is no significant difference between the predicted and measured values,and the prediction error is controllable.Within the smallest study cell of the neighborhood grid,the average GIS prediction(Ave_GIS)explanatory variables were the average perimeter of buildings(Ave_C),the ratio of building footprint to total site area(BCR),and the average complaint density(Ave_TSMD)explanatory variables were the proportion of buildings with heights>24 m(HBR),the sum of the number of buildings with heights>24 m(NHB)and the difference between the maximum and minimum height of all buildings(LHR).Geographically weighted regression fits better than ordinary least squares,and the distribution of spatial impacts of different 3D building pattern elements on both noise pollution indices of Ave_GIS and Ave_TSMD was uneven,with the related impacts BCR>Ave_C;NHB>LHR>HBR.After analyzing the degree of influence and the reasons,we put forward relevant suggestions for urban road traffic noise prevention and control in order to reduce the impact of noise pollution and improve the quality of human environment.
3D building patternRoad traffic noiseSimulation predictionGeographically weighted regression
万方数据
维普
