Study on Key Drivers and Collaborative Management Strategies for Construction and Demolition Waste Utilization in New Urban District Development: From a Social Network Perspective

Abstract

Construction and demolition waste (C&DW) during new district development shows the characteristics of large quantity, concentrated distribution, and long duration on both supply and demand sides. The construction of the new district has objective conditions to promote the scale development of recycling industries and achieve green development through local digestion, so the recycling indicators for the new district proposed by the government are generally higher than those of other regions. However, many new districts have yet to systematically identify key drivers (KDs) of recycling and form win-win governance mechanisms with multiple government and market subjects, resulting in uncontrolled accumulation or high-cost discard of C&DW. This paper identifies 29 recycling drivers and 8 governing subjects through literature research and a field study of five national new districts in China. Then, a 2-mode social network and two 1-mode social networks are constructed to analyze the complex interactions between drivers and governing subjects, taking Nanjing Jiangbei New District as an example. The results of the study show that most of the drivers need at least 2 governance subjects to promote together, which indicates that it is necessary to build a collaborative governance mechanism of multiple subjects. This study provides a structured framework to analyze the drivers of recycling in new district development and the collaborative governance of multiple subjects, which can provide a basis for promoting efficient recycling of new district development.

Advanced Meteorological Hazard Defense Capability Assessment: Addressing Sample Imbalance with Deep Learning Approaches

“…Junfeng Yao et al (2023) utilized network analysis and the Petri net model to foster organizational collaboration, concentrating on the synergy of emergency management entities and disaster response protocols, thereby enhancing efficiency and reducing response time [13]. On another front, Ling Shen et al (2023) leveraged a social networking perspective to amplify emergency management competencies, advocating for a collaborative governance mechanism involving multiple entities, particularly emphasizing grassroots governments [14].…”