Investigating　the　Spatiotemporal　Evolution　and　Pathway　Migration　of　Urban　Carbon　Intensity　in　China　from　2005　to　2020　using　Map　Visualization,　Kernel　Density　Estimation,　and　Standard　Deviation　Ellipses.　Empirical　Examination　of　Spatiotemporal　Heterogeneity　of　Factors　Affecting　Urban　Carbon　Intensity　using　a　Geographically　and　Temporally　Weighted　Regression　(GTWR)　Model.　The　study　finds　that:　(1)　Carbon　emission　intensity　in　Chinese　cities　has　decreased　over　the　years　but　remains　significantly　higher　than　that　of　developed　countries　during　the　same　period,　with　considerable　room　for　emission　reduction.　Spatially,　there　is　a　＇north-south＇　disparity　in　carbon　emission　intensity,　which　has　become　more　prominent　in　the　later　period　of　the　study.　(2)　The　differences　in　carbon　emission　intensity　of　cities　within　each　region　gradually　converged,　and　the　distribution　became　more　balanced.　The　multi-level　differentiation　of　carbon　emission　intensity　in　the　eastern　region　was　remarkable,　and　there　were　still　high　carbon　agglomerations　in　the　west.　The　region　with　high　carbon　emission　intensity　gradually　shifted　to　the　northwest,　and　the　northwest　became　the　main　contributor　to　China＇s　carbon　emissions.　(3)　In　general,　high-carbon　energy　consumption　has　a　positive　effect　in　promoting　carbon　intensity,　while　industrial　upgrading,　economic　development,　population　agglomeration,　technological　research　and　development,　and　foreign　investment　intensity　have　mainly　negative　inhibitory　effects.　However,　at　the　local　level,　the　effects　of　these　factors　exhibit　significant　spatiotemporal　heterogeneity.　The　direction　and　strength　of　the　fluctuations　of　various　influencing　factors　vary　across　different　regions　and　periods.　©　2023　Chinese　Society　for　Environmental　Sciences.　All　rights　reserved.