利用探索性空间数据分析(ESDA)和地理加权回归模型(GWR),对2012年全国312个地级及以上城市私家车碳排放的空间分异格局、总体趋势、空间异质性和驱动因素进行研究。结果表明,中国地级城市私家车碳排放空间分异显著,碳排放总量呈现中部〉东部〉西部、中部〉北方〉南方的变化趋势,人均碳排放量表现为东高西低、北高南低的态势,地均碳排放量则呈现南高北低、东高西低的态势。人均储蓄存款余额对私家车人均碳排放的影响最大,其次是人均GDP和城镇居民可支配收入,且影响因素具有明显的经度或纬度地带性规律。
A study was carried out on spatial differentiation pattern, general trend, spatial heterogeneity and drivin tors of carbon emission from private cars in 312 cities of prefecture or above level in 2012, using the exploratory spati g facal da- ta analysis (ESDA) and the geographic weight regression (GWR) model. Results show that spatial difference in carbon emission from private cars is significant between the cities, displaying a general trend of Central China 〉East China 〉West China, and Central China 〉North China 〉South China, in terms of total volume of carbon emission, East China 〉West China, and North China 〉 South China in terms of per capita carbon emission, and East China 〉West China, and South China 〉 North China in terms of carbon emissions per unit area of land. GWR analysis shows that the driving factor of the per capita carbon emission from private cars also varied saving deposit is the major factor affecting the per capita between cities of prefecture-or above levels in China. Per capita carbon emissions from private cars, and the latter is closely relat- ed to the former. Per capita gross domestic product (GDP) comes the second, also has a positive relationship with carbon emission and then is followed by disposable income of urban residents, per capita living space, urbanization rate, density of the road network and Engel's coefficient. Per capital annual expenditure of urban residents on consumption has the least influence. The influencing factors of carbon emission from private cars in the cities of prefecture or above levels in China show a clear latitudinal zonality or longitudinal zonality.