School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian 116023, China.
School of Engineering, Design and Built Environment, Western Sydney University, New South Wales 2747, Australia.
Waste Manag. 2021 Jun 1;128:179-188. doi: 10.1016/j.wasman.2021.03.022. Epub 2021 May 13.
In this paper, the province construction and demolition waste (CDW) generation in China from 2005 to 2018 is calculated by using the area estimation method. Together with the use of the gravity model and the social network analysis method (SNA), the characteristics and effects of the spatial correlation structure network of China's province construction and demolition waste generation are studied. It has been found that from 2005 to 2018, the construction and demolition waste in China had seen a significant rise, and the spatial difference in province generation is significant. During that time, China's inter-provincial construction and demolition waste generation demonstrated significant characteristics of a spatial correlation network with a complex network hierarchy and showed a trend of year-by-year increase in its overall network density and number of correlation. In this spatial connection network, nine provinces, including Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, Hubei and Guangdong, played a core role as "bridges", Beijing, Shanghai, Jiangsu, Guangdong, Shandong, Fujian and Zhejiang provinces are "beneficiaries", Chongqing, Tianjin, Hubei, Anhui, Sichuan, Henan, Jiangxi, Hunan and Hebei are "brokers" while other provinces are "the damaged". Indexes such as network density, network hierarchy and network efficiency all have a significant impact on the national construction and demolition waste generation intensity. The reduction of network density, the improvement of network hierarchy and network efficiency can significantly reduce the difference in construction and demolition waste generation intensity. The structure of spatial correlation network has significant influence on the difference of construction and demolition waste generation intensity.
本文采用面积估算法计算了 2005-2018 年中国省域建设-拆除废物（CDW）的产生量。同时，利用重力模型和社会网络分析方法（SNA），研究了中国省域建设-拆除废物产生的空间相关结构网络的特征和效应。研究发现，2005-2018 年中国建设-拆除废物呈显著上升趋势，且省域间产生差异显著。在此期间，中国省际建设-拆除废物生成表现出显著的空间相关网络特征，具有复杂的网络层次结构，整体网络密度和关联数量呈逐年增加的趋势。在这个空间连接网络中，北京、天津、上海、江苏、浙江、福建、山东、湖北和广东等九个省作为“桥梁”发挥了核心作用，北京、上海、江苏、广东、山东、福建和浙江是“受益者”，重庆、天津、湖北、安徽、四川、河南、江西、湖南和河北是“经纪人”，而其他省份则是“受损者”。网络密度、网络层次和网络效率等指标对全国建设-拆除废物产生强度都有显著影响。网络密度的降低、网络层次的提高和网络效率的提高可以显著降低建设-拆除废物产生强度的差异。空间相关网络结构对建设-拆除废物产生强度的差异有显著影响。
