住区密度与家庭能耗碳排放相关性研究——以上海曹杨新村为例

发布时间：2018-12-20 18:22

【摘要】：住区空间形态及模式类型划分与密度特征相关,家庭能耗产生的空间碳排放与密度分布有着逻辑对应关系。国内外相关研究表明,家庭特征、住房特征和能耗行为等因素对家庭生活能耗有着显著的影响,而有关密度与家庭能耗碳排放之间的相关研究尚需更多实证案例。本文以上海曹杨新村作为研究对象,通过调研问卷数据来估算54个小区样本的家庭能耗人均碳排放值,并对住区密度指标与碳排放进行相关性研究。从回归分析结果看,曹杨新村的家庭能耗消费与家庭特征、住房特征等因素存在着显著的线性关系,且家庭人口规模具有主导作用。在密度指标与碳排放相关性研究中,家庭能耗碳排放在物质密度与人口密度指标中分别具有区段波动性特征,通过进一步分析密度与碳排放影响变量之间的非线性逻辑对应关系,研究得出不同密度区段条件下的住区家庭能耗碳排放差异是居民家庭人口规模、收入水平等相关社会因素叠合作用造成的。因此,判断住区是否"低碳"首先当明确密度区段的选择条件,结合本国国情、地区发展条件、家庭社会经济特征等因素来引导未来住区发展模式。
[Abstract]:The spatial forms and patterns of residential areas are related to the density characteristics, and the spatial carbon emissions generated by household energy consumption are logically related to the density distribution. Related studies at home and abroad show that family characteristics, housing characteristics and energy consumption behavior have a significant impact on household energy consumption, while the correlation between density and household energy consumption carbon emissions need more empirical cases. This paper takes Cao Yang Xincun in Shanghai as the research object to estimate the energy consumption per capita carbon emission of 54 residential district samples by questionnaire data and to study the correlation between residential density index and carbon emission. From the result of regression analysis, it can be seen that there is a significant linear relationship between household energy consumption and family characteristics and housing characteristics in Cao Yangxin Village, and the size of family population plays a leading role. In the study of correlation between density index and carbon emission, household energy consumption carbon emissions have the characteristics of segment volatility in material density and population density index, respectively. Through the further analysis of the nonlinear logical correspondence between the density and the influence variables of carbon emissions, it is concluded that the difference of energy consumption carbon emissions of residential households under different densities is the size of household population. Income level and other related social factors overlap caused by. Therefore, to judge whether the residential area is "low carbon" or not, first of all, it is necessary to make clear the selection conditions of the density section, to guide the future residential development model by combining with the national conditions, regional development conditions, and the social and economic characteristics of the family and so on.
【作者单位】：同济大学建筑与城市规划学院;同济大学建筑与城市空间研究所;上海应用技术大学城市建设与安全工程学院;
【基金】：国家自然科学基金委项目(批准号:51178316)资助
【分类号】：TU984.12;X24

【相似文献】