Abstract
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.
Similar content being viewed by others
Data availability
Data will be made available on request.
References
Aslam MS, Huang B, Cui L (2020) Review of construction and demolition waste management in China and USA. J Environ Manage 264:110445. https://doi.org/10.1016/j.jenvman.2020.110445
Chen J, Hua C, Liu C (2019) Considerations for better construction and demolition waste management: identifying the decision behaviors of contractors and government departments through a game theory decision-making model. J Clean Prod 212:190–199. https://doi.org/10.1016/j.jclepro.2018.11.262
Ding Z, Liu R, Wang Y, Tam VWY, Ma M (2021) An agent-based model approach for urban demolition waste quantification and a management framework for stakeholders. J Clean Prod 285. https://doi.org/10.1016/j.jclepro.2020.124897
Domingo N, Batty T (2021) Construction waste modelling for residential construction projects in New Zealand to enhance design outcomes. Waste Manag 120:484–493. https://doi.org/10.1016/j.wasman.2020.10.010
Du L, Feng Y, Lu W, Kong L, Yang Z (2020) Evolutionary game analysis of stakeholders’ decision-making behaviours in construction and demolition waste management. Environ Impact Assess Rev 84. https://doi.org/10.1016/j.eiar.2020.106408
Gamsu S, Donnelly M (2020) Social network analysis methods and the geography of education: regional divides and elite circuits in the school to university transition in the UK. Tijdschrift voor Economische en Sociale Geografie 112(4):370–386. https://doi.org/10.1111/tesg.12413
Guerra BC, Leite F, Faust KM (2020) 4D-BIM to enhance construction waste reuse and recycle planning: case studies on concrete and drywall waste streams. Waste Manag 116:79–90. https://doi.org/10.1016/j.wasman.2020.07.035
Hoang NH, Ishigaki T, Kubota R, Tong TK, Nguyen TT, Nguyen HG, Yamada M, Kawamoto K (2020) Waste generation, composition, and handling in building-related construction and demolition in Hanoi Vietnam. Waste Manag 117:32–41. https://doi.org/10.1016/j.wasman.2020.08.006
Hoang NH, Ishigaki T, Kubota R, Tong TK, Nguyen TT, Nguyen HG, Yamada M, Kawamoto K (2021) Financial and economic evaluation of construction and demolition waste recycling in Hanoi Vietnam. Waste Manag 131:294–304. https://doi.org/10.1016/j.wasman.2021.06.014
Hu R, Chen K, Chen W, Wang Q, Luo H (2021) Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: a case of commercial buildings in China. Waste Manag 126:791–799. https://doi.org/10.1016/j.wasman.2021.04.012
Huang B, Gao X, Xu X, Song J, Geng Y, Sarkis J, Fishman T, Kua H, Nakatani J (2020) A life cycle thinking framework to mitigate the environmental impact of building materials. One Earth 3(5):564–573. https://doi.org/10.1016/j.oneear.2020.10.010
Jain S, Singhal S, Jain NK, Bhaskar K (2020) Construction and demolition waste recycling: investigating the role of theory of planned behavior, institutional pressures and environmental consciousness. J Clean Prod 263. https://doi.org/10.1016/j.jclepro.2020.121405
Lau HH, Whyte A, Law PL (2008) Composition and characteristics of construction waste generated by residential housing project. International. J Environ Res 2(3):261–268
Li J, Liang J, Zuo J, Guo H (2020) Environmental impact assessment of mobile recycling of demolition waste in Shenzhen, China. J Clean Prod 263:121371. https://doi.org/10.1016/j.jclepro.2020.121371
Li ZH, Deng QX, Bai J, Li Y, Wang YZ, Liu NX, Gong YX (2022) Management system for engineering and decoration waste: an exploratory study in Shenzhen. J Environ Manag 314:15085. https://doi.org/10.1016/j.jenvman.2022.115085
Lima C, Caggiano A, Faella C, Martinelli E, Pepe M, Realfonzo R (2013) Physical properties and mechanical behaviour of concrete made with recycled aggregates and fly ash. Construct Build Mater 47:547–559. https://doi.org/10.1016/j.conbuildmat.2013.04.051
Liu JK, Wu P, Jiang YH, Wang XT (2021) Explore potential barriers of applying circular economy in construction and demolition waste recycling. J Clean Prod 326:129400. https://doi.org/10.1016/j.jclepro.2021.129400
Liu J, Li Y, Wang Z (2023) The potential for carbon reduction in construction waste sorting: a dynamic simulation. Energy 275:127477. https://doi.org/10.1016/j.energy.2023.127477
Lu W, Lou J, Webster C, Xue F, Bao Z, Chi B (2021) Estimating construction waste generation in the Greater Bay Area, China using machine learning. Waste Manag 134:78–88. https://doi.org/10.1016/j.wasman.2021.08.012
Mattioli G, Scheiner J (2022) The impact of migration background, ethnicity and social network dispersion on air and car travel in the UK. Travel Behav Soc 27:65–78. https://doi.org/10.1016/j.tbs.2021.12.001
Menegaki M, Damigos D (2018) A review on current situation and challenges of construction and demolition waste management. Curr Opin Green Sustain Chem 13:8–15. https://doi.org/10.1016/j.cogsc.2018.02.010
Miatto A, Schandl H, Forlin L, Ronzani F, Borin P, Giordano A, Tanikawa H (2019) A spatial analysis of material stock accumulation and demolition waste potential of buildings: a case study of Padua. Resour Conserv Recyc 142:245–256. https://doi.org/10.1016/j.resconrec.2018.12.011
Mishra S (2020) Social networks, social capital, social support and academic success in higher education: a systematic review with a special focus on ‘underrepresented’ students. Educat Res Rev 29. https://doi.org/10.1016/j.edurev.2019.100307
Santos MT, Lamego P, Frade P (2017) Management options for construction and demolition wastes from residential recuperation. Waste Biomass Valorizat 8(5):1679–1687. https://doi.org/10.1007/s12649-016-9675-1
Scott J (2017) Social network analysis. Sage Pubns Ltd
Sepasgozar SME, Mair DF, Tahmasebinia F, Shirowzhan S, Li H, Richter A, Yang LM, Xu SX (2021) Waste management and possible directions of utilising digital technologies in the construction context. J Clean Prod 324:129095. https://doi.org/10.1016/j.jclepro.2021.129095
Shahid MU, Thaheem MJ, Arshad H (2022) Quantification and benchmarking of construction waste and its impact on cost – a case of Pakistan. Eng Construct Architect Manag. https://doi.org/10.1108/ecam-07-2019-0375
Simmons L, Johnson AE, Shizuka D (2020) How demographic processes shape animal social networks. Behav Ecol 31(1):1–11. https://doi.org/10.1093/beheco/arz083
Sun P, Zhang N, Zuo J, Mao R, Gao X, Duan H (2020) Characterizing the generation and flows of building interior decoration and renovation waste: a case study in Shenzhen City. J Clean Prod 260. https://doi.org/10.1016/j.jclepro.2020.121077
Wang B, Pan X, Zhang S (2021a) Spatial autocorrelation, influencing factors and temporal distribution of the construction and demolition waste disposal industry. Waste Manag 127:158–167. https://doi.org/10.1016/j.wasman.2021.04.025
Wang QK, Chen L, Hu RB, Ren ZG, He YT, Liu DR, Zhou ZQ (2020) An empirical study on waste generation rates at different stages of construction projects in China. Waste Manag Res 38(4):433–443. https://doi.org/10.1177/0734242X19886635
Wang Z, Xie W, Liu J (2021b) Regional differences and driving factors of construction and demolition waste generation in China. Eng Construct Archit Manag. https://doi.org/10.1108/ecam-10-2020-0887
Wang Z, Zhang Z, Liu J (2022) Exploring spatial heterogeneity and factors influencing construction and demolition waste in China. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-022-19554-8
Wang ZS, Zhang ZS, Jin XH (2021c) A study on the spatial network characteristics and effects of CDW generation in China. Waste Manag 128:179–188. https://doi.org/10.1016/j.wasman.2021.03.022
Wang Z, Han F, Xia B, Liu J, Zhang C (2023) Regional differences and heterogeneity of construction and demolition waste with economic growth: evidence from China. Construct Manag Econ 41(1):44–59. https://doi.org/10.1080/01446193.2022.2137882
Wichmann BK, Kaufmann L (2016) Social network analysis in supply chain management research. Int J Phys Distrib Logist Manag 46(8):740–762. https://doi.org/10.1108/ijpdlm-05-2015-0122
Wu G, Wang L, Yang R, Hou W, Zhang S, Guo X, Zhao W (2022) Pollution characteristics and risk assessment of heavy metals in the soil of a construction waste landfill site. Ecol Inform 70:101700. https://doi.org/10.1016/j.ecoinf.2022.101700
Wu Z, Yu AT, Shen L, Liu G (2014) Quantifying construction and demolition waste: an analytical review. Waste Manag 34(9):1683–1692. https://doi.org/10.1016/j.wasman.2014.05.010
Wu Z, Yu ATW, Shen L (2017) Investigating the determinants of contractor’s construction and demolition waste management behavior in Mainland China. Waste Manag 60:290–300. https://doi.org/10.1016/j.wasman.2016.09.001
Yazdanbakhsh A (2018) A bi-level environmental impact assessment framework for comparing construction and demolition waste management strategies. Waste Manag 77:401–412. https://doi.org/10.1016/j.wasman.2018.04.024
Yu B, Wang J, Wu H, Wong AB, Liao Y, Zuo J (2021) Self-fulfillment degree of construction and demolition waste management capability based on the Triple-balance theory: a case study of Guangdong-Hong Kong-Macao Greater Bay Area. Waste Manag 133:99–109. https://doi.org/10.1016/j.wasman.2021.07.038
Yuan H, He L, Wu H, Zuo J (2023) Differentiated subsidy mechanism for promoting construction and demolition waste recycling. J Clean Prod 137051. https://doi.org/10.1016/j.jclepro.2023.137051
Yuan H, Wang Z, Shi Y, Hao J (2021) A dissipative structure theory-based investigation of a construction and demolition waste minimization system in China. J Environ Plann Manag 65(3):514–535. https://doi.org/10.1080/09640568.2021.1889484
Funding
This research was financially supported by the National Social Science Fund of China [Grant number: 20BGL187].
Author information
Authors and Affiliations
Contributions
Wenbo Du: Conceptualization, Methodology, Validation, Investigation, Writing—original draft preparation; Hongping Yuan: Resources, Writing—review and editing, Funding acquisition.
Corresponding author
Ethics declarations
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Du, ., Yuan, H. Investigation of spatial association network features of construction waste in major Chinese urban agglomeration. Environ Sci Pollut Res 30, 114936–114955 (2023). https://doi.org/10.1007/s11356-023-30399-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-30399-7