| Cities are the main battlefield of global carbon emissions,and carbon emissions from urban transportation and travel are one of their main sources.However,carbon emissions from residents’ daily life and travel show significant differences due to differences in residential areas.Research on the relationship between carbon emissions from urban settlements and daily life and travel has become a focus.At present,empirical research by domestic and foreign scholars shows that the spatial layout of residential areas and the socio-economic characteristics of residents both affect the carbon emissions of residential residents’ travel.Their travel mainly includes commuting and commuting,and there is a lack of research on the influencing factors of carbon emissions based on daily life travel,as well as quantitative and specific influencing factors.Based on the above background,this study selected 50 sample residential areas within the Third Ring Road of Xi’an as the research objects to conduct a study on spatial layout characteristics based on differences in carbon emissions from daily life travel.Firstly,select existing sample residential areas with different spatial layout characteristics and residents’ social characteristics to ensure the differences in carbon emissions during travel in the selected residential areas.By establishing 1km within the Third Ring Road × A 1km fishing net network is used to classify the surrounding conditions of residential areas from two directions: location level and housing price level.Existing residential areas are divided into four types-good location level,high housing price,good location level,low housing price,poor location level,high housing price,and poor location level.50 residential areas are selected as research samples to ensure the diversity of the sample residential areas.Secondly,using a carbon emission measurement model,calculate the carbon emissions of daily life and travel in each sample residential area,and compare their hierarchical distribution characteristics.Using Arcgis to establish a basic spatial information database for residential areas within the Third Ring Road in Xi’an,distributing survey questionnaires to obtain data on residents’ social and travel characteristics,and dividing residential carbon emissions levels based on per capita travel carbon emissions.The per capita daily life carbon emissions are generally distributed in a circular pattern.Thirdly,establish a multi perspective and multi-dimensional indicator system for residential spatial layout and residents’ social characteristics,and study the impact of residential spatial layout and residents’ social characteristics on carbon emissions from residents’ daily life and travel.Through Pearson correlation analysis and multiple regression analysis on the spatial layout and social characteristics of each sample residential area and per capita daily life travel carbon emissions,it is found that the density of single element public transport network,density of public transport stations,family structure,annual family income,number of private cars owned and occupation are significantly related to per capita travel carbon emissions,and the functional entropy of mixing The density of bus stops and the number of private cars owned are significantly different among the comprehensive characteristics.Fourthly,study the correlation between carbon emissions from daily life travel and spatial layout,and clarify the spatial layout characteristics of "low carbon emissions" and "high carbon emissions" residential areas.Due to the fact that the spatial layout characteristics of residential areas can better describe the carbon emissions characteristics of daily life travel,by studying the correlation between daily life travel carbon emissions and spatial layout,the spatial layout characteristics of "low-carbon emission" residential areas with highly mixed functional land use,fine and intensive road network,close distribution of public transportation facilities,and high-density facility points are summarized."High carbon emission" residential areas have wide and sparse roads The spatial layout characteristics of public transportation with low sharing rate and facility configurations that do not match the needs of residents.Finally,Hongji was selected as a typical "high carbon emission" residential area and its spatial layout characteristics were summarized.Propose optimization strategies for "high carbon emissions" residential areas from three aspects: functional optimization combined with replacement and supplementation,road network optimization combined with addition and improvement,and public transportation facility optimization combined with supplementation and guidance.Take Hongji as an example to implement specific optimization strategies. |
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