In recent years, as low-carbon city gradually has become a significant research field on studies on global climate change, the scholars at home and abroad have launched a series of research from various angles. However, there is little research discussing about urban commuting carbon emission characteristics and the influencing factors of carbon emissions at disaggregated level. The data used in this study came from a 2011-2012 survey of 291 residents from households in three typical communities from different parts of Guangzhou. The variables used in this study consist of four categories: demographics, auto ownership and use, built environment characteristics, and attitudes. In the survey, respondents were asked to report the number of automobiles in their households and their travel behavior. The survey also contained a list of demographic characteristics, including household size,household income, gender, age, education underground, having a driver's license, and occupation. Consistent with previous studies, we develop a coefficient method for calculating the amount of commuting carbon emissions. In this study, we adopt categorization and Lorenz curve to analyze the differentiation of commuting carbon emissions characteristics between different individuals, inner- community and trans- community. Specifically, we developed a multiple regression analysis method to analyze the impact of selected 16 variables on commuting carbon emissions. The results of commuting carbon emission characteristics analyses show that commuting carbon emission of residents in urban districts is lower than that of their counterparts in county-level cities. Dufu, Nanyayuan and Lijiang Garden communities are consistent with the rule of 60-20" proposed from the UK experience. Multiple regression analysis suggests that commuting distance, travel modes of residents, commuting frequency, income and population density of the sub-district have significant effects on CO_2 emissions. Finally, on the basis of the above findings, the paper puts forward some policy suggestions for reducing commuting carbon emissions.