Health, Safety, and Environment (HSE) in the Building and Construction Industry

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5790

Special Issue Editors


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Guest Editor
Division of Architecture & Urban Design, College of Urban Sciences, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea
Interests: intelligent facility management; smart construction management
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Guest Editor
Department of Interior Architecture Design, Hanyang University, Seoul 04763, Republic of Korea
Interests: future cities; IOT/AR/VR; digital twin; smart design; human behavior
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We have recently seen the rapid development of advanced technologies to enhance the health, safety, and environment (HSE) in the building and construction industry, along with the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and virtual/augmented reality (VR/AR). These advancements have led the move in the direction of multidisciplinary research on personalized health and safety management..

Meanwhile, the construction industry accounts for approximately 20% of worker deaths or injuries, being continuously caused by safety hazards such as falls, being struck by falling or swinging items, and electrocutions. In addition, during the lockdowns that many countries imposed on account of the coronavirus since 2019 (COVID-19), it has been learned that, as time spent indoors increases, the impact of indoor environmental quality on occupants’ comfort, health, and productivity also increases. The need for appropriate management of the HSE in the building and construction industry is of utmost importance and cannot be compromised, which covers the following aspects: social, technological, economic, environmental, and political.

The purpose of this Special Issue is to provide a platform for a wide range of professionals to enhance interdisciplinary research and to share the best management practices, focused on health, safety, and environment (HSE) in the building and construction industry. Any type of article aligned with the journal (e.g., original research, case study, technical report, and reviews) is welcome in this Special Issue. Related fields include but are not limited to:

  • Sustainable services and applications for the HSE in the building and construction industry, in the COVID-19 pandemic context;
  • Personalized health and safety management and advanced technologies in the building and construction industry;
  • Physiological and cognitive (psychological) response to the built environment, in the context of the HSE and its services;
  • Heat stress and thermal comfort in the built environment, in the context of the HSE and its services;
  • Artificial intelligence to understand the relationship between human behavior and the HSE in the building and construction industry;
  • Descriptive, diagnostic, predictive, and prescriptive analytics for the identification and mitigation of occupational health and safety hazards;
  • IoT and big data for the HSE in the building and construction industry;
  • Wearable devices for personalized health and safety management in real time;
  • Virtual-reality-based training system for the HSE in the building and construction industry;
  • Augmented reality for occupational health and safety management in the building and construction industry;
  • Unmanned aerial vehicle for occupational health and safety management in the building and construction industry.

If you would like to contribute a paper to this Special Issue, we would need to receive your manuscript by 30 June 2022. Details on the manuscript preparation and categories may be found at Instructions for Authors (https://0-www-mdpi-com.brum.beds.ac.uk/journal/applsci/instructions); please check there for more information on the journal’s policies and the submission process.

Prof. Dr. Choongwan Koo
Prof. Dr. Seung Hyun Cha
Guest Editors

Manuscript Submission Information

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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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (2 papers)

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Research

23 pages, 1990 KiB  
Article
Understanding Safety Performance of Prefabricated Construction Based on Complex Network Theory
by Liangliang Song, Haiyan Li, Yongliang Deng and Chaozhi Li
Appl. Sci. 2022, 12(9), 4308; https://0-doi-org.brum.beds.ac.uk/10.3390/app12094308 - 24 Apr 2022
Cited by 4 | Viewed by 2079
Abstract
With the rapid expansion of prefabricated construction in China, significant changes in safety performance are still unapparent for numerous prefabricated constructions, and safety accidents are constantly exposed in public. The ignorance of interactions among safety risks impedes efficacious improvement, which instructs the need [...] Read more.
With the rapid expansion of prefabricated construction in China, significant changes in safety performance are still unapparent for numerous prefabricated constructions, and safety accidents are constantly exposed in public. The ignorance of interactions among safety risks impedes efficacious improvement, which instructs the need for a thorough analysis of these interactions based on complex network theory. This paper starts with the identification of 37 safety risks refined through literature review and expert interviews, and 90 interrelationships among them verified by virtue of the questionnaire survey, laying a foundation for the establishment of a prefabricated construction safety risk network (PCSRN). The topological analysis results prove that PCSRN is a scale-free as well as a small-world network, which indicates the high-efficiency propagation and diffusion among safety risks in prefabricated constructions. Moreover, eight critical nodes are identified with four different ranking criteria, and corresponding safety strategies are proposed to address them. The developed method not only provides a novel insight to interpret the safety risks of prefabricated construction but also has the potential to advance safety performance of this sector. Full article
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17 pages, 4201 KiB  
Article
Beacon-Based Individualized Hazard Alarm System for Construction Sites: An Experimental Study on Sensor Deployment
by Fansheng Kong, Seungjun Ahn, JoonOh Seo, Tae Wan Kim and Ying Huang
Appl. Sci. 2021, 11(24), 11654; https://0-doi-org.brum.beds.ac.uk/10.3390/app112411654 - 08 Dec 2021
Viewed by 2280
Abstract
Researchers have proposed several forms of beacon sensor-based hazard alarm systems for increasing construction workers’ awareness of site hazards, but research on how to deploy beacon sensors so that the system is adequate for achieving timely individualized hazard alarms is scarce. Against this [...] Read more.
Researchers have proposed several forms of beacon sensor-based hazard alarm systems for increasing construction workers’ awareness of site hazards, but research on how to deploy beacon sensors so that the system is adequate for achieving timely individualized hazard alarms is scarce. Against this background, this research investigates the impact of different beacon sensor locations in a construction site on how quickly a worker can receive the individualized hazard alarms. This research took an experimental study approach to address this objective. After a prototype of a beacon-based hazard alarm system was developed, the system was tested in a concrete structure building under construction. In the experiment, the locations where the experimenter received the first hazard alarm were recorded in repetitive trials while the beacon sensor was located in four different locations, such as (1) at the entrance of the room, (2) behind the front side wall, (3) on the internal wall facing the access point, and (4) on the internal wall not facing the access point and in a partially enclosed room in the concrete structure. The rate of successful alarm notification (i.e., the rate that the person received the hazard alarm before arriving at the target location) was 89%, 68%, 48%, and 19%, respectively, for the four locations of the beacon sensor. Meanwhile, the heat maps indicating where the hazard alarm notification was received show that the “behind the front side wall” setting yielded the most desired pattern of notification reception, wherein the person received the hazard alarm just before arriving at the room. These results show that the hazard alarm function of the system could be severely affected by the beacon sensor’s location and implies that the locations of beacon sensors should be decided carefully based on the type of hazard involved and the workers targeted for receiving the alarms. Full article
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