Investigation of spatial association network features of construction waste in major Chinese urban agglomeration

The illegal dumping of construction waste (CW) poses an increasingly serious environmental pollution problem with the accelerated rate of urbanization. As CW disposal capacity struggles to match municipal needs, some CW is being diverted to higher resource endowment cities rather than recycled. To address this situation, it is necessary to obtain reliable information on the characteristics and evolution of CW generation networks in China. This study combines a modified gravity model with Social Network Analysis (SNA) to analyze the spatial association networks of CW generation in four Chinese urban agglomerations between 2000 and 2020. Results reveal the evolution characteristics of the CW generation network, including increasing density and correlation and decreasing network efficiency. Furthermore, the Quality Assurance Procedure (QAP) indicates that urbanization level and population size are positively correlated with CW generations, whereas distance plays a negative role, but resources are insignificant for network formation. The findings provide insight into current patterns of waste distribution and a theoretical basis for government policy formulation in the future.

Automated summary

By analyzing the spatial association networks of construction waste generation in four Chinese urban agglomerations, this study reveals the evolution characteristics of construction waste generation and finds that urbanization level and population size have a positive effect on waste generation, while distance has a negative effect and resources have no significant impact on network formation. These findings provide important insights into current waste distribution patterns and serve as a theoretical basis for future government policy formulation.