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A scientometric review of construction progress monitoring studies

Tirth Patel (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)
Brian H.W. Guo (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)
Yang Zou (Department of Civil and Environmental Engineering, University of Auckland, Auckland, New Zealand)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 23 July 2021

Issue publication date: 24 November 2022

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Abstract

Purpose

This article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.

Design/methodology/approach

The science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.

Findings

This study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).

Practical implications

This study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.

Originality/value

This paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

Keywords

Citation

Patel, T., Guo, B.H.W. and Zou, Y. (2022), "A scientometric review of construction progress monitoring studies", Engineering, Construction and Architectural Management, Vol. 29 No. 9, pp. 3237-3266. https://doi.org/10.1108/ECAM-10-2020-0799

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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