摘要
Abstract
In the field of urban transportation,the carbon emission proportion is high and growing rapidly,making it a crucial area for urban decarbonization.This article focuses on the urban agglomeration scale,utilizing urban statistical yearbooks and multisource spatial data.Based on the ArcGIS platform and Geoda software,the study employs geographic detectors and spatial autocorrelation models.It selects a series of indicators from three dimensions:urban land use,transportation network,and transportation capacity,analyzing their spatial correlations with urban transportation carbon emissions.Research findings indicate that factors such as built-up area,road area,the number of public buses(electric)in operation,and the number of operating taxis significantly impact transportation carbon emissions in urban built environments.Additionally,the spatial density of the city and road network density exhibit spatial clustering characteristics positively correlated with high(low)values of urban transportation carbon emissions.In contrast,the urban road mileage shows a spatially negative correlation with urban transportation carbon emissions.Finally,combining the study with transportation and construction planning in the Yangtze River Delta region,this article proposes relevant spatial optimization strategies for the low-carbon development of urban agglomeration transportation.关键词
空间相关性/交通碳排放/长三角城市群Key words
spatial correlation/transportation carbon emissions/the Yangtze River Delta Urban Agglomeration分类
建筑与水利
