Table of contents - Special Issue: Working Smarter and Advanced Technologies in Construction: Enhancing Capacity and Capability in Construction Sector to Deliver Infrastructure Projects
Guest Editors: Mostafa Babaeian Jelodar, Monty Sutrisna
A simulation-based decision support tool for integrating site layout and construction planning of tunneling projects
SeyedReza RazaviAlavi, Simaan AbouRizkIntegrating construction and site layout planning in mechanized tunnel infrastructure projects is essential due to the mutual impacts of construction planning and site layout…
A new blockchain system design to improve the supply chain of engineering, procurement and construction (EPC) companies – a case study in the oil and gas sector
Rashid Amiri Ara, Klara Paardenkooper, Ron van DuinThis paper aims to propose a new blockchain system design to improve engineering, procurement and construction (EPC) companies’ supply chain for constructing oil and gas…
A principal component analysis of barriers to the implementation of blockchain technology in the South African built environment
Opeoluwa Israel Akinradewo, Clinton Ohis Aigbavboa, David John Edwards, Ayodeji Emmanuel OkeBlockchain technology is one of the emerging innovative technologies making waves globally, and it has been adjudged to have the capability to transform businesses. With the…
Systematic review on the identification of safety risks in off-site manufacturing (OSM)
Sadith Chinthaka Vithanage, Michael Sing, Peter Davis, Manikam PillayOff-site manufacturing (OSM) has emerged as a method of modern construction that provides several benefits including achieving lower costs, a quicker schedule and environmentally…
Prototyping an IoT-based system for monitoring building indoor environment
Na Zhou, Alice Chang-Richards, Kevin I-Kai Wang, Kim Natasha DirksThis study aims to develop an architectural prototype of a Cyber-Physical System (CPS), as well as lay a technological foundation for future smart housing with improved health and…
Developing a new deep learning CNN model to detect and classify highway cracks
Faris Elghaish, Saeed Talebi, Essam Abdellatef, Sandra T. Matarneh, M. Reza Hosseini, Song Wu, Mohammad Mayouf, Aso Hajirasouli, The-Quan NguyenThis paper aims to Test the capabilities/accuracies of four deep learning pre trained convolutional neural network (CNN) models to detect and classify types of highway cracks, as…
Level of awareness of formwork design in the Ghanaian construction industry; enabling future technology application
Clement Boakye Danquah, Alex Acheampong, Theophilus Adjei-KumiIn the Ghanaian construction industry (GCI), the option for stakeholders to adopt formwork design as a building construction requirement is uncommon place. This is due to the low…
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ISSN:
1726-0531e-ISSN:
1758-8901ISSN-L:
1726-0531Online date, start – end:
2003Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Dr Nicholas Chileshe