Abstract
The application of deep learning (DL) for solving construction safety issues has achieved remarkable results in recent years that are superior to traditional methods. However, there is limited literature examining the links between DL and safety management and highlighting the contributions of DL studies in practice. Thus, this study aims to synthesize the current status of DL studies on construction safety and outline practical challenges and future opportunities. A total of 66 influential construction safety articles were analyzed from a technical aspect, such as convolutional neural networks, recurrent neural networks, and general neural networks. In the context of safety management, three main research directions were identified: utilizing DL for behaviors, physical conditions, and management issues. Overall, applying DL can resolve important safety challenges with high reliability; therein the CNN-based method and behaviors were the most applied directions with percentages of 75% and 67%, respectively. Based on the review findings, three future opportunities aiming to address the corresponding limitations were proposed: expanding a comprehensive dataset, improving technical restrictions due to occlusions, and identifying individuals who performed unsafe behaviors. This review thus may allow the identification of key areas and future directions where further research efforts need to be made with priority.
Highlights
Construction is a large, dynamic, and complex field offering a large number of job opportunities for millions of people worldwide [1]
Researchers and managers in the field of construction safety may better understand what type of method has achieved highly accurate results along with the type and amount of data has been used for a certain safety task, as well as the actions managers can take from the result of deep learning (DL) models for improving safety management
This study synthesized and reviewed the current DL studies applied to safety management in the construction industry
Summary
Construction is a large, dynamic, and complex field offering a large number of job opportunities for millions of people worldwide [1]. According to global statistical data, the construction industry’s accidental death and injury rates are three and two times higher than those of other industries, respectively [4]. The number of fatal injuries in this industry in the United States increased by 16%, from 781 in 2011 to 908 in 2014 [5], and its injuries and accidents in 2015 were 50% higher than those in any other industry [3]. These percentages reached 40% of the total accidents in Japan, 25% in the United Kingdom, and 50% in Ireland [6].
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