Construction Innovation: Volume 22 Issue 3

Guest editorial: Enabling the development and implementation of digital twins

Farzad Pour Rahimian, Nashwan Dawood, Ali Ghaffarianhoseini, Amirhossein Ghaffarianhoseini

Augmented reality in design and construction: thematic analysis and conceptual frameworks

Aso Hajirasouli, Saeed Banihashemi, Rob Drogemuller, Abdulwahed Fazeli, Saeed Reza Mohandes

This study aims to present a comprehensive review, critical analysis and implications of the augmented reality (AR) application and implementation in the construction industry…

Application of semantic Web ontologies for the improvement of information exchange in existing buildings

Farhad Sadeghineko, Bimal Kumar

Facilitating the information exchange and interoperability between stakeholders during the life-cycle of an asset can be one of the fundamental necessities for developing an…

Awareness of Big Data concept in the Dominican Republic construction industry: an empirical study

Paola Reyes Veras, Suresh Renukappa, Subashini Suresh

The construction industry, being one of the main activities in the ever-demanding need for technology developments, sometimes falls short of other industries in terms of…

BIM-based mixed-reality application for bridge inspection and maintenance

Duy-Cuong Nguyen, The-Quan Nguyen, Ruoyu Jin, Chi-Ho Jeon, Chang-Su Shim

The purpose of this study is to develop a building information modelling (BIM)-based mixed reality (MR) application to enhance and facilitate the process of managing bridge…

A smart objects library for BIM-based construction site and emergency management to support mobile VR safety training experiences

Vito Getuli, Pietro Capone, Alessandro Bruttini, Tommaso Sorbi

Health and safety training via immersive virtual reality (VR) in the construction sector is still limited to few early adopters despite the benefits it could provide in terms of…

Active personalized construction safety training using run-time data collection in physical and virtual reality work environments

Emil L. Jacobsen, Alex Solberg, Olga Golovina, Jochen Teizer

Accidents resulting from poorly planned or setup work environments are a major concern within the construction industry. While traditional education and training of personnel…

Deep learning for detecting distresses in buildings and pavements: a critical gap analysis

Faris Elghaish, Sandra T. Matarneh, Saeed Talebi, Soliman Abu-Samra, Ghazal Salimi, Christopher Rausch

The massive number of pavements and buildings coupled with the limited inspection resources, both monetary and human, to detect distresses and recommend maintenance actions lead…

The application of “deep learning” in construction site management: scientometric, thematic and critical analysis

Faris Elghaish, Sandra T. Matarneh, Mohammad Alhusban

The digital construction transformation requires using emerging digital technology such as deep learning to automate implementing tasks. Therefore, this paper aims to evaluate the…

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

Koki Taniguchi, Satoshi Kubota, Yoshihiro Yasumuro

The purpose of this study is to propose a method for vulnerable pedestrians to visualize potential obstacles on sidewalks. In recent years, the number of vulnerable pedestrians…

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

Saeed Talebi, Song Wu, Mustafa Al-Adhami, Mark Shelbourn, Joas Serugga

The utilisation of emerging technologies for the inspection of bridges has remarkably increased. In particular, non-destructive testing (NDT) technologies are deemed a potential…

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

Faris Elghaish, Sandra T. Matarneh, David John Edwards, Farzad Pour Rahimian, Hatem El-Gohary, Obuks Ejohwomu

This paper aims to explore the emerging relationship between Industry 4.0 (I4.0) digital technologies (e.g. blockchain, Internet of Things (IoT) and artificial intelligence (AI)…

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

Yee Sye Lee, Ali Rashidi, Amin Talei, Mehrdad Arashpour, Farzad Pour Rahimian

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A…