Growing consumption has brought a series of environmental problems. Sustainable consumption patterns which could meet human needs, improve the quality of lives, and reduce pollutants in the product life cycle emerge and develop. With the development and application of information and network technology, the scale and variety of data are increasing rapidly; advances in data analytics have made the economy, and consumption, quantifiable and visible. At present, many scholars rely on a big-data background and carry out research on sustainable consumption. Therefore, we called for sustainable and consumption papers for special volume of Journal of Cleaner Production (JCLPRO). We received submissions from all over the world and eventually accepted 45. This Special Issue forming a study on sustainable energy consumption, low-carbon transportation, waste recovery and recycling, climate change cost assessment, application and policy modelling for big data and sustainable consumption to promote sustainable development in the fields of energy consumption, low-carbon transportation, waste recovery, and so on. The authors have analysed the problems of pollution and carbon emission in different regions and product production cycles, according to the background of specific regions and enterprises, through data mining, measurement models, and an evaluation index system. Some suggestions are provided for urban construction and enterprise development according to the results.

消费的增长带来了一系列环境问题。可以满足人类需求，改善生活质量并减少产品生命周期中污染物的可持续消费模式应运而生。随着信息和网络技术的发展和应用，数据的规模和种类正在迅速增加。数据分析的进步使经济性和消耗变得可量化且可见。当前，许多学者依靠大数据背景进行可持续消费研究。因此，我们呼吁为特殊数量的《清洁生产杂志》（JCLPRO）撰写可持续性和消耗性论文。我们收到了来自世界各地的意见书，最终被接受了45条。该期特刊构成了一项关于可持续能源消耗，低碳交通，废物回收和再循环，气候变化成本评估，大数据和可持续消费的应用和政策模型，以促进能源消耗，低碳运输，废物回收等领域的可持续发展。作者根据特定区域和企业的背景，通过数据挖掘，测量模型和评估指标体系，分析了不同区域和产品生产周期中的污染和碳排放问题。根据研究结果，为城市建设和企业发展提供了一些建议。废物回收等。作者根据特定区域和企业的背景，通过数据挖掘，测量模型和评估指标体系，分析了不同区域和产品生产周期中的污染和碳排放问题。根据研究结果，为城市建设和企业发展提供了一些建议。废物回收等。作者根据特定区域和企业的背景，通过数据挖掘，测量模型和评估指标体系，分析了不同区域和产品生产周期中的污染和碳排放问题。根据研究结果，为城市建设和企业发展提供了一些建议。