Abstract: Urban park green space carbon sequestration plays a crucial role in achieving “ dual carbon” goals. Accurate measurement of carbon storage levels and influencing factors is vital for optimizing urban green development. Using typical park green spaces in Ji'nan City as the study object, this research constructs a carbon sequestration measurement system combining remote sensing monitoring and ground surveys. Allometric growth equations were used to estimate vegetation carbon storage, stratified sampling method was applied to determine soil carbon storage, and multiple regression analysis and geographically weighted regression models were employed to identify key influencing factors. The comprehensive parks achieve total carbon storage of 108. 50 t/hm², significantly higher than roadside green spaces at 42. 85 t/hm². Stand density, soil organic matter content, and tree species diversity index are the dominant controlling factors, with relative importance of 22. 8%, 19. 6%, and 15. 9% respectively. Vegetation structure factors directly affect carbon fixation processes by regulating light interception efficiency, while environmental condition factors play regulatory roles by changing growth limiting conditions. This methodological system would provide scientific support for carbon sequestration function assessment and optimization management of national forest city green spaces.