Abstract Most studies that focus on heating-related greenhouse gas (GHG) emissions do so with either a focus on technical aspects or a focus on heating-related attitudes and behavior. Either way, they assign little attention to the influence of sociodemographic factors. However, if an integrated understanding of the sociological factors behind heating-related GHG emissions is to be developed, the interrelationship of sociologically relevant predictors, emission-relevant technological parameters, and impact indicators must be assessed. In this study, we analyzed the impact of sociodemographic variables and of the intention to use energy sustainably on technological dwelling characteristics and heating-related GHG emissions by applying linear and logistic regression models on data of 604 Austrian households. Our analyses show that not only the household size but also the composition (the specific numbers of adults and children living together) affect the emissions. We found not only that sociodemographic variables explain a considerable proportion of the variance in the available living space but also that there are relationships among occupants’ sociodemographic data, their intentions, and technical characteristics of the dwellings in which they live.

中文翻译：

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估算与供暖相关的温室气体排放：基于家庭构成的调查方法的优势

摘要 大多数关注与供暖相关的温室气体 (GHG) 排放的研究要么侧重于技术方面，要么侧重于与供暖相关的态度和行为。无论哪种方式，他们都很少关注社会人口因素的影响。然而，如果要综合理解与供暖相关的温室气体排放背后的社会因素，就必须评估社会相关预测因子、排放相关技术参数和影响指标之间的相互关系。在这项研究中，我们通过对 604 个奥地利家庭的数据应用线性和逻辑回归模型，分析了社会人口变量和可持续使用能源的意图对技术住宅特征和与供暖相关的温室气体排放的影响。我们的分析表明，不仅家庭规模而且构成（共同生活的成人和儿童的具体数量）都会影响排放。我们发现，社会人口统计学变量不仅解释了可用居住空间的很大一部分差异，而且居住者的社会人口统计学数据、他们的意图和他们居住的住宅的技术特征之间也存在关系。