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Abstract：
Based on the relevant data of construction waste (CW) in the People\'s Republic of China (PRC) from 2010 to 2018, this study applied K-means clustering algorithm and grey prediction methods to systematically investigate the spatiotemporal characteristic distribution and provincial clustering of CW in the PRC, and predicted the annual output of CW in the next five years from the scientific perspective. Results showed that the annual output of CW in the PRC displayed an overall trend of \"rising first and then falling\" and \"being high in the middle east and low in the northwest,\" and the areas with obvious agglomeration gradually spread from the west to the middle and eastern regions. The law of development was consistent with the goals of the Chinese government to promulgate urban agglomeration development policies, prefabricated building encouragement policies, and CW management regulations. In the next five years, the annual output of CW in the PRC will increase by a small margin. Thus, all aspects of CW resource management should be conducted in a planned and step-by-step manner.
摘要：
本研究以中华人民共和国(PRC)2010-2018年建筑垃圾(CW)的相关数据为基础,应用K-means聚类算法和灰色预测方法,对中国CW的时空特征分布和省级聚类进行了系统的研究。并从科学的角度预测了未来五年CW的年产量。结果表明，中国CW年产量呈现“先升后降”和“中东高，西北低”的总体趋势，“，集聚明显的地区逐渐从西部向中东部地区蔓延。发展规律符合中国政府颁布城市群发展政策的目标,预制建筑鼓励政策，和CW管理规定。在接下来的五年里,中国CW的年产量将小幅增长。因此，CW资源管理的各个方面都应以有计划和有步骤的方式进行。
