Study On The Mixed Degree Of Household Carbon Emissions And Residential Land Function Based On Behavioral Characteristics

With the acceleration of urbanization process,urban traffic carbon emission gradually increased,low-carbon cities,low-carbon settlements construction has been widely concerned by scholars at home and abroad.Optimizing the functional layout of residential land,reducing the single functional land and stimulating the internal vitality of residential areas are the key to the construction of low-carbon settlements.Taking the high water area of Mianyang as an example,this paper aims to explore the interaction among residents' daily travel behavior,residential function mixing and household carbon emission,which is of positive significance to the construction of low-carbon settlements.Firstly,the mathematical calculation model of household travel carbon emission and function mixing degree,the statistical analysis model of travel behavior and function mixing degree,function mixing degree and carbon emission are established.based on collating relevant literature and summarizing relevant research results,this study takes travel behavior as the link medium between functional mixing degree and carbon emission,makes theoretical assumptions about the interaction of travel behavior,functional mixing degree and household carbon emission,and establishes relevant quantitative research models.Secondly,from the perspective of carbon emissions,the difference of residents' travel behavior is compared and analyzed.Based on the travel behavior survey data of 471 households in 12 sample areas or research units selected in the high water area in2019,the total carbon emissions of each sample area were calculated according to the established quantitative estimation model of household travel carbon emissions.Using carbon emission as a tool to measure residents' travel behavior,the difference of residents' daily travel behavior in 12 sample areas of high water was analyzed by comparing the distribution of different functional land in real space environment.The comparison found that shopping,entertainment and medical travel in the sample area in the northern part of the high water produced higher carbon emissions than in other regions;this reflects the absence of corresponding service facilities around the sample area or the mismatch with residents' needs.Then,the mechanism of residents' travel behavior and carbon emission from household travel is discussed.According to the multiple linear regression model of residential area function mixing degree and resident travel distance,travel mode,function mixing degree and household carbon emission linear regression analysis model,the interactive mechanism of function mixing degree-behavior-household carbon emission is discussed.Through the analysis,it is found that improving the mixing degree of residential function can help to reduce the daily travel distance of residents and reduce the dependence of private cars,solve the living needs of residents,and thus reduce the carbon emissions of household travel.Finally,the path of mixed optimization of residential function is proposed.According to the planning standard of 15-minute living circle and residents' satisfaction with the surrounding service facilities,we should adjust the pattern of residential areas,stimulate the vitality of the community,and urge the residents to solve the daily life needs in the vicinity,so as to reduce the frequency of motor vehicles used by residents and increase the frequency of walking or public.