Seeking　low-carbon　development　in　residential　buildings　is　very　important.　We　aimed　to　explore　the　mechanism　of　the　urban　form　on　residential　building　carbon　emissions　at　the　urban　block　level.　When　Beijing　was　adopted　as　a　case　study,　blocks　were　categorized　into　enclosed,　radial,　intensive,　and　axial　types.　Geographic　information　data　of　30　typical　residential　districts　were　extracted　via　ArcGIS　software.　Through　the　integration　of　parametric　modeling　and　performance　analysis　techniques,　the　embodied　and　operational　carbon　emissions　of　typical　districts　were　calculated.　We　analyzed　carbon　emission　differences　from　the　perspective　of　spatial　factors　such　as　the　plot　ratio,　building　density,　and　average　building　height,　as　well　as　temporally,　by　quantifying　the　correlations　and　mechanisms　between　urban　form　factors　and　building　carbon　emissions.　The　results　revealed　that　the　carbon　emissions　of　the　enclosed　blocks　were　the　lowest,　and　the　carbon　emissions　of　the　intensive　blocks　were　the　highest.　The　plot　ratio　and　average　building　height　were　negatively　correlated　with　operation　and　embodied　carbon　emissions,　whereas　building　density　was　positively　correlated　with　operation　and　embodied　carbon　emissions.　This　research　bridges　the　gap　in　the　understanding　of　the　relationship　between　residential　building　carbon　emissions　and　the　urban　form　at　the　urban　block　level..