居民不合理的电力消费带来过度能源消耗与碳排放问题日益严峻，从行为角度开展居民可持续消费方面的研究已经成为能源消费领域的热点与新趋势。尤其是大数据背景下，大规模、多种来源数据不断涌现，产生新的科学问题的同时也为居民低碳消费行为研究提供新的契机。为此，本课题综合利用多种来源数据（居民用电实时监测数据、网络爬取数据与微观调研数据等），构建中国城镇居民电力消费行为基础数据库。在此基础上，厘清城镇居民用电行为特征与模式、识别影响居民用电行为关键影响因素、揭示居民节电行为机理、基于居民节电行为情景进行环境综合效应评估，进而提出有针对性的政策清单及管理策略。该成果为解决新时期我国居民用电多元化发展和电力市场供给不平衡、不充分之间的矛盾具有重要现实意义，同时对于丰富和完善居民可持续消费行为理论体系具有一定学术价值。

Excessive energy consumption and carbon emissions caused by unreasonable residential electricity utilization behavior have become increasingly serious in recent years. Study from the perspective of behavioral science has becoming a hot spot and new trend in the field of residential sustainable consumption in energy consumption analysis. Especially in the context of big data, large-scale, multi-sources data outpouring continually, which provide us both challenges for addressing new scientific issues and, also, new possibilities for residents' low carbon consumption behavior study. In this context, our project utilizes multiple sources of data (real-time monitoring data, data crawling from web pages and survey data, etc.) comprehensively to build an electricity consumption behavior basic database for urban residents in China. And on this data basis, characteristics and patterns of residential electricity utilization behavior could be clarified, key influence factors of residential electricity utilization behavior could be identified, mechanism of residential electrical energy saving behavior could be revealed. Then after residents’ electricity saving scenario building and environmental synthetic effect assessment, the targeted policy list and management strategy could be proposed. Which not only contribute to resolve the practical conflicts between unbalanced and inadequate electricity supply and the diversified development of domestic residential electricity consumption, but also making academic contribution to enriching and improving theoretical system of residential sustainable consumption behavior.