A large amount of greenhouse gas(GHG)emissions are generated by the freight transport sector,which have significant influence on the global climate change.In this paper,the spatiotemporal variation of GHG emissions in cities was analyzed with the integration of microscopic emission investigation and spatially local assessment.This paper calculated the spatial distribution and changes of GHG emissions of freight transportation in 286cities of China in 2000,2005,2010and 2015with microscopic emission model,and explored the influence of potential variables on distribution of GHG emissions by geographically weighted regression(GWR)model.Results showed that the GHG emissions had significant spatial agglomeration characteristics,especially in hot-spot regions;compared with the linear regression, GWR had significantly improved the estimation accuracy,the economy,population and freight strength variables had positively associations with GHG emissions.This study will provide a quantitative scientific basis for formulating energy conservation and emission reduction policies in various cities in China.