An empirical investigation of automation technology as material waste mitigation measure at Johor construction sites

Frontiers in Built Environment

Built Environment

Yaser Gamil¹  Riduan Yunus²  Mahdi Mohammed Abdullah Abkar²  Ahmed Saleh Ahmed Saif Al-Shameri³  Ahmed Harouache³ 

[1] Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden;Department of Civil Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia;Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Johor, Malaysia;Faculty of Technology Management & Business, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Johor, Malaysia;

关键词: automation technology;    material waste mitigation;    construction site performance;    construction waste management (CWM);    Johor construction sites;   

DOI  :  10.3389/fbuil.2023.1232195

 received in 2023-05-31, accepted in 2023-09-04,  发布年份 2023

来源: Frontiers

【 摘 要 】

Automation technology in the construction industry is the use of advanced tools, devices, and processes that reduce manual labor and enhance efficiency in various construction activities. Automation technology can minimize waste, optimize resource utilization, and reduce the environmental impact of construction processes. This study aims to examine the relationship between automation technology adoptions (ATAs) utilizing reduce, reuse, and recycle (3R), building information modeling (BIM), industrialized building systems (IBSs), green building index (GBI), and Internet of Things (IoT) practices toward construction site performance (CSP) to measure their influences on material waste mitigation measures at Johor construction sites. To achieve these goals, five hypotheses were developed to explore the association between ATA and CSP. Data were gathered utilizing an online survey. The participants were contractors and expert practitioners in the Johor construction industry, including architects, project managers, and academicians/researchers. A total of 257 valid responses were used to investigate the assumptions. The partial least squares structural equation modeling (PLS-SEM) procedure was used. The findings revealed that ATA utilizing 3R, BIM, IBS, GBI, and IoT as material mitigation measures positively enhances CSP.

【 授权许可】

Unknown   
Copyright © 2023 Abkar, Yunus, Al-Shameri, Harouache and Gamil.