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Buildings
Special Issues
Emerging Technologies and Approaches for Construction Safety Management
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Emerging Technologies and Approaches for Construction Safety Management

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 6031

Special Issue Editors

Dr. Akeem Pedro

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Guest Editor
Construction Technology Innovation Laboratory, School of Architecture and Building Science, Chung-Ang University, Seoul 06974, Republic of Korea
Interests: construction safety; safety education; construction informatics; virtual reality; augmented reality
Dr. Mehrtash Soltani

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Guest Editor
Construction Technology Innovation Laboratory, School of Architecture and Building Science, Chung-Ang University, Seoul 06974, Republic of Korea
Interests: construction safety; fall accident prevention; worker motivation
Dr. Hai Chien Pham

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Guest Editor
Applied Computational Civil and Structural Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
Interests: construction safety; visualization; construction management

Special Issue Information

Dear Colleagues,

For decades, improving health, wellbeing, and safety in construction has proved to be a major challenge. Despite diverse efforts, injury and fatality rates remain disproportionately high in construction. Construction job sites are dynamic, complicated, and unpredictable environments where workers are often exposed to diverse hazards on a daily basis. A variety of emerging technologies may offer promising solutions to the long-standing safety challenges encountered in construction. In recent years, construction practitioners and academics have begun to leverage innovative technologies towards improved safety outcomes in the construction sector. However, many questions and challenges regarding technologically enhanced safety management approaches remain unaddressed. Many emerging technological tools and solutions for construction safety are still at a low level of maturity, and there is a lack of documented work on how they can be implemented in practice. This Special Issue will engage not only technological perspectives, but also managerial, cultural, and organizational aspects in managing safety in construction. Authors are invited to submit any novel work focused on improving construction safety and health. The listed keywords suggest just a few of the many possibilities.

Dr. Akeem Pedro
Dr. Mehrtash Soltani
Dr. Hai Chien Pham
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • safety training, education, and learning
  • human behavior and safety
  • design for safety
  • accident analysis and prevention
  • safety planning
  • innovative technologies in construction safety
  • health and safety for migrant workers
  • safety climate and culture
  • automation and computing in safety management

Published Papers (4 papers)

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Research

21 pages, 5737 KiB  
Article
Analyzing the Unsafe Behaviors of Frontline Construction Workers Based on Structural Equation Modeling
by Ying Li, Jingjing Pei, Shuangyan Wang and Yun Luo
Buildings 2024, 14(1), 209; https://doi.org/10.3390/buildings14010209 - 12 Jan 2024
Viewed by 680
Abstract
The unsafe behavior of frontline workers at construction sites is the most important cause of construction accidents. This study proposed a comprehensive model of frontline workers’ unsafe behaviors based on a systems perspective and used structural equation modeling (SEM) to explore the influence [...] Read more.
The unsafe behavior of frontline workers at construction sites is the most important cause of construction accidents. This study proposed a comprehensive model of frontline workers’ unsafe behaviors based on a systems perspective and used structural equation modeling (SEM) to explore the influence mechanisms between the objective conditions (e.g., work environment, work climate, and task complexity), safety management (e.g., safety education and training, safety reward and punishment regulations, safety inspection, safety technology disclosure, and safety warning signs), group influence (propagation of unsafe behaviors among workers), personal perception (subjective judgment of operators on their safety knowledge and skills), and unsafe behaviors. Data from 460 frontline workers were collected through questionnaires and the correlation hypotheses were tested using SPSS 26.0 and Amos 26.0 software. The following conclusions were obtained: (1) objective conditions directly positively influence safety management, group influence, and personal perception but indirectly negatively influence unsafe behavior; (2) safety management not only directly positively affects personal perception but also directly negatively affects unsafe behavior. However, the direct effect of safety management on group influence is not significant; (3) group influence has a direct positive effect on unsafe behavior, but the direct effect on personal perception is not significant; (4) the direct effect of personal perception on unsafe behavior is insignificant. These findings can be used as preliminary data to guide decision makers or managers in construction companies to develop reasonable management plans to curb the unsafe behaviors of frontline workers. Full article
(This article belongs to the Special Issue Emerging Technologies and Approaches for Construction Safety Management)
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22 pages, 8190 KiB  
Article
A Human Detection Approach for Intrusion in Hazardous Areas Using 4D-BIM-Based Spatial-Temporal Analysis and Computer Vision
by Si Van-Tien Tran, Doyeop Lee, Quy Lan Bao, Taehan Yoo, Muhammad Khan, Junhyeon Jo and Chansik Park
Buildings 2023, 13(9), 2313; https://doi.org/10.3390/buildings13092313 - 12 Sep 2023
Cited by 1 | Viewed by 1356
Abstract
Detecting intrusion in hazardous areas is one of the priorities and duties of safety enhancement. With the emergence of vision intelligence technology, hazardous-area-detection algorithms can support safety managers in predicting potential hazards and making decisions. However, because of the dynamic and complex nature [...] Read more.
Detecting intrusion in hazardous areas is one of the priorities and duties of safety enhancement. With the emergence of vision intelligence technology, hazardous-area-detection algorithms can support safety managers in predicting potential hazards and making decisions. However, because of the dynamic and complex nature of the jobsite, high-risk zones have a different geometry and can be changed following the schedule and workspace of activity. This leads to hazardous areas being annotated manually. Thus, this study proposes a computer vision and a 4D BIM-based approach for intrusion detection in hazardous areas, called IDC4D. IDC4D comprises three modules: (1) the 4D BIM-based safety planning (4BSP) module, which analyzes the hazardous area; (2) the hazardous area registration (HAR) module, which delivers the hazardous area from the BIM model to the camera’s first frame image; and (3) the hazardous-area-intrusion-detection module (HAID), which applies the computer vision algorithm to identify the correlation between workers and hazardous areas. The efficiency of the IDC4D approach is validated by testing a maintenance project on the construction site. IDC4D supports the planner in choosing the plan and detecting the event of workers entering hazardous areas while working. It showed an average precision of 93% and 94% in phase 1 and phase 2, respectively. These findings provide insight into how varying geometries of diverse hazard areas can be handled for enhancing intrusion detection. Full article
(This article belongs to the Special Issue Emerging Technologies and Approaches for Construction Safety Management)
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36 pages, 20687 KiB  
Article
Construction Work-Stage-Based Rule Compliance Monitoring Framework Using Computer Vision (CV) Technology
by Numan Khan, Syed Farhan Alam Zaidi, Jaehun Yang, Chansik Park and Doyeop Lee
Buildings 2023, 13(8), 2093; https://doi.org/10.3390/buildings13082093 - 17 Aug 2023
Cited by 5 | Viewed by 1968
Abstract
Noncompliance with safety rules is a major cause of unsatisfactory performance in construction safety worldwide. Although some research efforts have focused on using computer vision (CV) methods for safety rule inspection, these methods are still in their early stages and cannot be effectively [...] Read more.
Noncompliance with safety rules is a major cause of unsatisfactory performance in construction safety worldwide. Although some research efforts have focused on using computer vision (CV) methods for safety rule inspection, these methods are still in their early stages and cannot be effectively applied on construction job sites. Therefore, it is necessary to present a feasible prototype and conduct a detailed analysis of safety rules to ensure compliance at the job site. This study aims to extend the validation of safety rule analysis through four case scenarios. The proposed structured classification of safety rules includes categorizing them based on project phases and work stages. The construction phase-related rules are divided into four groups: (1) before work, (2) with intervals, (3) during work, and (4) after work. To validate the proposed framework, this research developed prototypes for each group’s scenarios using deep learning algorithms, a storage database to record compliance with safety rules, and an Android application for edge computing, which is required in the “before work” and “after work” groups. The findings of this study could contribute to the development of a compact CV-based safety monitoring system to enhance the current safety management process in the construction industry. Full article
(This article belongs to the Special Issue Emerging Technologies and Approaches for Construction Safety Management)
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24 pages, 5089 KiB  
Article
Construction Safety Risks of Metro Tunnels Constructed by the Mining Method in Wuhan City, China: A Structural Equation Model-Fuzzy Cognitive Map Hybrid Method
by Qiankun Wang, Zhihua Xiong, Ke Zhu and Peiwen Guo
Buildings 2023, 13(5), 1335; https://doi.org/10.3390/buildings13051335 - 20 May 2023
Cited by 5 | Viewed by 1363
Abstract
A hybrid method based on the structural equation model (SEM) and a fuzzy cognitive map (FCM) was developed to study the influences of the construction safety risks (CSR) of metro tunnels constructed by the mining method on the project risk (PR). An SEM [...] Read more.
A hybrid method based on the structural equation model (SEM) and a fuzzy cognitive map (FCM) was developed to study the influences of the construction safety risks (CSR) of metro tunnels constructed by the mining method on the project risk (PR). An SEM was used to identify and verify the correlations between the CSR and PR. An FCM was developed adopting the verified standardized causality and path coefficient in the SEM. On this basis, predictive reasoning and diagnostic reasoning were performed in the framework of an FCM to simulate the CSR and PR. The feasibility of the developed method was validated based on the construction project of a metro tunnel in Wuhan City, China. The results show that (1) the cause concept node C2 (tunnel excavation) shows the strongest positive correlation with the target concept node CT (PR). According to their risks, the construction stages are ranked in descending order as C2 (tunnel excavation), C1 (advanced support), C6 (auxiliary measures), C4 (structure waterproofing), C3 (primary support), and C5 (secondary lining). (2) The target concept node CT is most sensitive to changes in the cause concept nodes C2 and C1. (3) Close attention should be paid to key risks, such as X9 (over-excavation and under-excavation) and X8 (unreasonable determination of excavation footage and sequence) in stage C2. Originality and significance: (1) A hybrid method that can simulate the dynamic interaction between the CSR and PR is proposed. (2) A new perspective for the dynamic evaluation of a PR is provided. (3) The method can be used as a decision-making tool for controlling the PR. Full article
(This article belongs to the Special Issue Emerging Technologies and Approaches for Construction Safety Management)
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