Filter-out hypothesis: Can outward flows of foreign direct investment contribute to a cleaner productive system in the European Union? DOI
Gonzalo Hernández Soto

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107542 - 107542

Published: May 1, 2024

Language: Английский

Estimating construction waste generation in the Greater Bay Area, China using machine learning DOI

Weisheng Lu,

Jinfeng Lou, Chris Webster

et al.

Waste Management, Journal Year: 2021, Volume and Issue: 134, P. 78 - 88

Published: Aug. 17, 2021

Language: Английский

Citations

115
Machine learning in construction and demolition waste management: Progress, challenges, and future directions DOI
Yu Gao,

Jiayuan Wang,

Xiaoxiao Xu

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 162, P. 105380 - 105380

Published: March 16, 2024

Language: Английский

Citations

29
Pollution characteristics and risk assessment of heavy metals in the soil of a construction waste landfill site DOI

Gaofeng Wu,

Lili Wang,

Ran Yang

et al.

Ecological Informatics, Journal Year: 2022, Volume and Issue: 70, P. 101700 - 101700

Published: June 3, 2022

Language: Английский

Citations

62
The technology-environment relationship revisited: Evidence from the impact of prefabrication on reducing construction waste DOI
Ruibo Hu, Ke Chen,

Weili Fang

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 341, P. 130883 - 130883

Published: Feb. 10, 2022

Language: Английский

Citations

46
A hybrid machine-learning model for predicting the waste generation rate of building demolition projects DOI
Gi-Wook Cha,

Hyeun Jun Moon,

Young‐Chan Kim

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 375, P. 134096 - 134096

Published: Sept. 14, 2022

Language: Английский

Citations

44
Characterizing temporal and spatial characteristics of urban building material metabolism and embodied carbon emissions through a 4D GIS-MFA-LCA model DOI

Yuqiong Long,

Qingbin Song, Beijia Huang

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 206, P. 107642 - 107642

Published: April 19, 2024

Language: Английский

Citations

9
Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach DOI Creative Commons

Mohamed KhairEldin,

Ahmed Osama Daoud,

Ahmed H. Ibrahim

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 23, 2025

Effective construction waste (CW) management, mainly concrete, brick, and steel, is a critical challenge due to its significant environmental economic impacts. This study addresses this by proposing multiple linear regression models predict generation in residential buildings within the Egyptian industry, considering influence of factors such as building design site management features. Using data from 25 case studies, demonstrated high predictive accuracy, with adjusted R² values 0.877, 0.893, 0.889 for bricks, steel waste, respectively. These R2 indicate that explain approximately 88-89% variance buildings, highlighting their effectiveness enhancing resource planning strategies. The findings suggest incorporating variables total area, consistency, organization significantly improves accuracy predictions. Although show acceptable performance, future research should aim expand dataset, incorporate additional variables, test across different types projects validate further refine these tools. offer valuable insights practices, minimizing supporting sustainable development Egypt's industry. With accurate forecasts generation, help project managers stakeholders plan CW more effectively, mitigating unnecessary material consumption reducing adopt improved recycling processes decreased dependence on landfills, support Vision 2030.

Language: Английский

Citations

1
Design and development of smart Internet of Things–based solid waste management system using computer vision DOI Open Access
Senthil Sivakumar Mookkaiah,

Gurumekala Thangavelu,

Rahul Hebbar

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(43), P. 64871 - 64885

Published: April 27, 2022

Language: Английский

Citations

32
Assessment of heavy metal pollution in the soil of a construction and demolition waste landfill DOI
Amirhossein Balali,

Sahar Gholami,

Mohammadreza Javanmardi

et al.

Environmental Nanotechnology Monitoring & Management, Journal Year: 2023, Volume and Issue: 20, P. 100856 - 100856

Published: July 18, 2023

Language: Английский

Citations

20
Enhancing information standards for automated construction waste quantification and classification DOI Creative Commons

Subarna Sivashanmugam,

Sergio Rodríguez, Farzad Pour Rahimian

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 152, P. 104898 - 104898

Published: May 10, 2023

Accurate quantification and detailed classification of construction waste are paramount to improving their management. Over the last decades, various models have been developed measure, manage, report generation. A understanding those is essential explore applications across life-cycle stages a built asset. Existing reviews primarily focused on analysing functions methodologies, but digital information standards automate process under-explored in existing literature. review adopted analyse papers published from 2012 2022. Out 279 articles retrieved, 71 meeting eligibility criteria were included. critical analysis indicates that unified data structure, standard information, approach interoperability between BIM knowledge bases vital reinforce efficiency. Based findings, conceptual framework demonstrate workflow for building projects. The outcomes will facilitate researchers identify prevailing gaps enhance system meet demands.

Language: Английский

Citations

19