In　tandem　with　the　urbanisation　process,　China＇s　transport　sector　is　currently　experiencing　rapid　development　and　was　ranked　third　out　of　all　the　industrial　sectors　in　terms　of　generating　CO2　emissions　in　2020,　which　poses　a　huge　challenge　to　achieving　carbon　neutrality.　Primarily　using　the　energy　consumption　data　from　China＇s　transport,　storage　and　postal　sectors　(TSPS)　and　input　and　output　data　between　2007　and　2020,　this　study　first　uses　the　Tapio　decoupling　model　to　evaluate　the　decoupling　effect　in　the　TSPS.　Structural　decomposition　analysis　is　then　applied　to　explore　sectoral　linkages　and　decompose　the　forces　driving　CO2　emissions.　Additionally,　we　explore　the　main　determinants　of　the　energy　structure　effect　and　final　demand　in　terms　of　energy　consumption　and　industrial　sector　demand.　Our　results　show　that　the　target　sector　experienced　a　weak　decoupling,　which　implies　that　the　low-carbon　transformation　of　this　sector　became　increasingly　apparent.　Factor　decomposition　shows　that　improvements　in　energy　intensity,　energy　structure　and　the　production　input　and　output　structure　have　contributed　significantly　to　reducing　CO2　emissions,　but　these　gains　have　been　largely　offset　by　final　demand,　resulting　in　a　net　reduction　of　27.97　million　tons　from　2007　to　2020.　The　increased　usage　of　low　carbon　forms　of　energy,　such　as　natural　gas,　is　the　key　driver　behind　the　emissions　reduction　effect　in　terms　of　the　energy　structure.　However,　the　higher　final　demand　from　the　construction　sector　and　the　wholesale　and　retail　trades　are　the　main　factors　that　have　increased　CO2　emissions.　By　adopting　a　sectoral　and　energy　structure　decomposition　perspective,　our　study　can　be　used　to　provide　guidance　to　governments　seeking　to　pursue　carbon-reduction　policies　to　achieve　carbon　peak　and　carbon　neutrality,　in　the　TSPS　in　particular.　©　2024　Elsevier　Ltd