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Comparison of the Aggregated Safety Performance Index for ground truth and test data.
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Over the last decade, researchers have explored various technologies and methodologies to enhance worker safety at construction sites. The use of advanced sensing technologies mainly has focused on detecting and warning about safety issues by directly relying on the detection capabilities of these technologies. Until now, very little research has e...
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... using a more accurate tracking system or a dense system network, this issue of underestimation or overestimation could be reduced. Table 1 compares results from the test data and the corresponding ground truth data. Certain cases-including Scenarios 1 and 4 in Testbed 1 and Scenario 3 in Testbed 3-that simulate a safe situation but are located near the hazard envelope, led to a fairly accurate estimation of the safety condition as they produced errors of 0.0024 and 0.009 critical safety incident per day. ...
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... BLE is another radio frequency-based technology that has recently gained relevance as a safety system [14][15][16]18,43,44]. BLE shows advantages such as its low cost and power consumption. ...
In order to reduce the accident risk in road construction and maintenance, this paper proposes a novel solution for road-worker safety based on an untethered real-time locating system (RTLS). This system tracks the location of workers in real time using ultra-wideband (UWB) technology and indicates if they are in a predefined danger zone or not, where the predefined safe zone is delimited by safety cones. Unlike previous works that focus on road-worker safety by detecting vehicles that enter into the working zone, our proposal solves the problem of distracted workers leaving the safe zone. This paper presents a simple-to-deploy safety system. Our UWB anchors do not need any cables for powering, synchronisation, or data transfer. The anchors are placed inside safety cones, which are already available in construction sites. Finally, there is no need to manually measure the positions of anchors and introduce them to the system thanks to a novel self-positioning approach. Our proposal, apart from automatically estimating the anchors’ positions, also defines the limits of safe and danger zones. These features notably reduce the deployment time of the proposed safety system. Moreover, measurements show that all the proposed simplifications are obtained with an accuracy of 97%.
... In recent years, there has been a significant amount of research conducted on clustering in wireless networks [19,20]. However, owing to the unique properties of automotive networks, such as fast speed, adequate power, and so on, the suggested wireless network algorithms are incompatible with vehicular networks based on data transmission with a dynamic backbone. ...
Vehicular Ad Hoc Networks (VANETs) play a critical role in ensuring safety and welfare applications for drivers and passengers amidst the escalating vehicular population in urban environments. The efficient functioning of VANETs hinges on addressing the challenge of load balancing among Road Side Units (RSUs). This paper introduces a groundbreaking approach aimed at enhancing real-time data transmission services within VANETs. The key contribution lies in the development of a multicast routing algorithm utilizing a geo-targeting protocol, facilitating simultaneous delivery of source data packets to multiple destinations. This innovative strategy aims to alleviate RSU congestion, thereby significantly enhancing the quality of real-time data transmission services. Moreover, this study presents advancements in the Statistical Match and Queuing algorithm, refining it over time to substantially mitigate network congestion and redundancy. Additionally, a Multi-Protocol Label Switching based algorithm is implemented to elevate service quality parameters, including end-to-end latency, packet loss, and overall network efficiency within in-vehicle networks. Importantly, this approach remains adaptable across various Layer two technologies, ensuring compatibility and scalability. Simulation results validate the efficacy of the proposed methodology, showcasing its superiority over existing methods. The findings underscore the innovative algorithms’ prowess in addressing load balancing challenges across diverse scenarios, affirming their potential to significantly enhance VANET service quality.
... A receiver embedded in the UAV then converts light into electricity. Accordingly, a UAV equipped with this technology would be able to remain in the air for an indefinite period of time without having to land to refuel (Park et al. 2018). Since an aerial power link area is used to recharge the UAV when it needs power, takeoffs and landings are made safer. ...
... To date, this simulation study has yet to be deployed under experimental conditions. Zhang et al. (2018a) and others have proposed combining fuzzy logic and state machines to create a hybrid approach (e.g., Park et al. 2018;Zhang et al. 2018a). With respect to UAV batteries and fuel cells, fuzzy logic is preferred; in contrast, state machines are used to manage energy when solar cells and batteries serve as power sources. ...
... These categories still do not encompass the other technology made for site connectivity that will be discussed shortly, which include but are not limited to, unmanned equipment, automated tools and machines, localization systems, video, point-cloud, and ambient environmental interaction mechanisms. Despite available sensing approaches and concerns on worker safety, there is a large gap among sensor data, modeling of safety issues, and individuals' safety performance (Park et al. 2018). ...
... To further explore the hotspots and the inter-relationship of these topics, the top ten documents of each of these topics were shortlisted and investigated for more details. Object tracking was primarily conducted with the help of sensors [48,49], computer vision techniques [50][51][52], and other real-time technologies [53]; real-time technologies have been widely adopted for various safety-related monitoring tasks on the job site [48,[54][55][56][57][58][59]; machine learning (or deep learning) algorithms have been commonly utilized to understand and classify accident narratives or safety reports [60][61][62][63] and predict injury severity and outcomes [64][65][66][67]; computer vision techniques have been frequently leveraged for safety equipment monitoring [68][69][70] and unsafe behavior detection [71][72][73]; and structural equation modeling has been gener-ally adopted to understand the relationship between safety and health performance and various other factors like stress [74,75], safety culture and climate [76,77], psychological capital [77,78], and psychological contract [79,80]. Results of this study suggest that there is increasing popularity in applying cuttingedge technologies, e.g., object tracking, real-time technology, machine learning, computer vision, and structural equation modeling, to construction safety and health research. ...
... To further explore the hotspots and the inter-relationship of these topics, the top ten documents of each of these topics were shortlisted and investigated for more details. Object tracking was primarily conducted with the help of sensors [48,49], computer vision techniques [50][51][52], and other real-time technologies [53]; real-time technologies have been widely adopted for various safety-related monitoring tasks on the job site [48,[54][55][56][57][58][59]; machine learning (or deep learning) algorithms have been commonly utilized to understand and classify accident narratives or safety reports [60][61][62][63] and predict injury severity and outcomes [64][65][66][67]; computer vision techniques have been frequently leveraged for safety equipment monitoring [68][69][70] and unsafe behavior detection [71][72][73]; and structural equation modeling has been generally adopted to understand the relationship between safety and health performance and various other factors like stress [74,75], safety culture and climate [76,77], psycholog- Despite the rapid growth and increasing popularity of the above-mentioned emerging topics, many of the traditional topics have not lost their momentum yet. For example, safety climate has been continuously recognized as a critical factor in safety performance [81,82] and has influenced workers' behaviors through organizational structure [83,84] and supervisors' management [85,86]; worker behavior research has been primarily focused on identifying different factors like cognitive factors [87], psychological drivers [78,88], organizational impact [89] and occupational stress [90,91] that have impacted workers' safety behaviors. ...
Safety and health have been one of the major issues in the construction industry worldwide for decades, and the relevant research has correspondingly drawn much attention in the academic field. Considering the expanding size and increasing heterogeneity of this research field, this paper proposes the topic modeling approach to cluster latent topics, extract coherent keywords, and discover evolving trends over the past three decades. Focusing on a total of 1984 articles published in 27 different journal sources until February 2023, this paper applied both unsupervised topic modeling techniques—Latent Dirichlet Allocation (LDA) and Correlation Explanation (CorEx)—and their semi-supervised versions—Guided LDA and Anchored CorEx. The evolving trends and inter-relationship of 15 research topics generated by the Anchored CorEx model (the best-performing model) were analyzed. Top-listed documents of major topics were analyzed to discuss their standalone research focuses. The results of this paper provided helpful insights and implications of existing research and offered potential guides for future research on construction safety and health by helping researchers (1) select research topics of interest and clearing decaying topics; (2) extract the top words of each research topic using systematic approaches; and (3) explore the interconnection of different research topics as well as their standalone focuses.
... Globally, records have shown that the construction sector has had several casualties and property losses. Melzner et al. [20], Mwangi [22], Park et al. [25], and Boateng [5] revealed that the sector is among the leading in cases of accidents. This is one industry that influences economic development yet faces safety issues. ...
... The outcome would prevent or mitigate injuries and losses [15]. Park et al. [25] opined that sensing technologies might focus on detecting and warning about construction safety issues by relying on the detection capabilities of these technologies. ...
... Regarding safety training and education, vision-based sensing, one of SBT can be used to provide a platform for staffers' safety training and learning (P11 and P24). Results agree with [25], and it was asserted that apart from detecting and warning about safety issues, they can be used for training construction safety-related matters. Findings from the observation of the eight sites show that only sites A and F attempted to use SBT in their safe operation but were faced with challenges. ...
Sensor-based technology (SBT) is a new method of advancing construction safety management. The technology may abate the scourge of accidents on sites and improve workplace safety performance in construction. Research about Nigerian construction contractors/property developers’ use of SBT is yet to receive in-depth studies. Thus, the study investigated the perceived encumbrances facing the implementation and recommended possible measures to improve safety by promoting SBT in Nigerian building project sites. The study adopted an interview type of qualitative research design and was complemented with eight construction sites observation to achieve the aim. The researchers engaged twenty-four participants (selected safety experts, property developers/building companies, and construction consultants). The paper adopted a thematic approach to analyse the collected data. Findings show that SBT usage is low across the eight construction sites studied. Three sub-themes (management, technical, and financial encumbrances) emerged from SBT usage issues. The study recommended feasible measures to improve SBT across high-rise Nigerian construction sites. Results from the study will strengthen and offer an insight into SBT on building sites. It would enlighten major industry practitioners (property developers and construction contracting firms) and policymakers to create an enabling platform for SBT improvement on construction sites.KeywordsConstruction siteFourth industrial revolution technologiesSafety TechnologySite accidentSmart construction
... This is characterized by workers' capabil-623 ity to respond during an unexpected situation (i.e., PR4 and PR5). 624 Supporting this finding, Zhou and Guo (2020) (Park, Cho, & Khodabandelu, 2018). In addition, 686 Abubakar, Zailani, Abdullahi, and Auwal (2021) (Grote, Weichbrodt, Günter, Zala-Mezö, & Künzle, 2009 (Jitwasinkul & Hadikusumo, 2011;Kasim, Hassan, Hamid, Emami, 749 & Danaee, 2018;Sugiono, Ali, & Miranda, 2020;Zou, 2011). ...
Introduction:
The complex and dynamic nature of building repair and maintenance (R&M) work tends to create safety risks for workers. Resilience engineering approach is identified as a complementary to conventional safety management techniques. Resilience of safety management systems is characterized by the capabilities to recover from, respond during, and prepare for unexpected situations. This research aims to conceptualize resilience of safety management systems in the building repair and maintenance context by introducing resilience engineering principles into the safety management system concept.
Method:
Data were collected from 145 professionals in building repair and maintenance companies in Australia. The structural equation modeling technique was utilized to analyze the collected data.
Results:
The results confirmed three dimensions (i.e., people resilience, place resilience, and system resilience) with 32 measurement items for assessing resilience of safety management systems. The results revealed that safety performance of building R&M companies was significantly affected by the interactions between people resilience and place resilience and the interactions between place resilience and system resilience.
Conclusions:
Theoretically, this study contributes to the safety management knowledge by theoretically and empirically supporting the development of concept, definition, and purpose of resilience for safety management systems.
Practical applications:
Practically, this research proposes a framework for assessing the level of resilience of safety management systems that is characterized by employees' capabilities, supportiveness of workplace, and supportiveness of management to recover from safety incidents, react during unexpected situations, and prepare for preventative actions before occurrence of undesirable events.
... The construction industry has long been suffering from a poor safety record [1], [2]. Based on the revealed statistics by the Occupational Safety and Health Administration (OSHA), 21.1% of the fatalities in the private sector are associated with the construction industry. ...
Construction laborers and crews play a critical role in achieving a safe and productive construction site. Many past research studies used top-down approaches/perspectives for studying the impact of laborers' performance on overall construction site outputs with limited flexibility in accounting for laborers' various characteristics. However, the recent reap in computational advances allowed applications of bottom-up architectures, which can potentially incorporate heterogeneous characteristics of laborers' individual behavioral and decision-making features effectively. Accordingly, agent-based modeling (ABM), as a tool to leverage a bottom-up methodological approach, has been widely adopted by recent research. Existing literature investigated the influence of changes in laborers' behaviors and interactions on either construction sites' safety performance or productivity performance individually, leaving the tradeoff between safety and productivity in this context relatively unexplored. Accordingly, this study aims to develop an agent-based framework to study the tradeoff between project safety and productivity performances resulting from changes in laborers' behaviors after attending safety trainings. Our findings via simulations indicate that proper safety trainings can improve safety performance without negatively impacting productivity performance.
... A receiver embedded in the UAV then converts light into electricity. Accordingly, a UAV equipped with this technology would be able to remain in the air for an indefinite period of time without having to land to refuel (Park et al., 2018). Since an aerial power link area is used to recharge the UAV when it needs power, takeoffs and landings are made safer. ...
... To date, this simulation study has yet to be deployed under experimental conditions. Zhang et al. (2012) and others have proposed combining fuzzy logic and state machines to create a hybrid approach (e.g., Park et al., 2018;. With respect to UAV batteries and fuel cells, fuzzy logic is preferred; in contrast, state machines are used to manage energy when solar cells and batteries serve as power sources. ...
Due to technology breakthroughs, mobility services are witnessing exceptional levels of innovation. These technology advancements in autonomous unmanned aerial vehicles (UAVs or drones), as well as developing regulations, may soon pave the path for their widespread use in delivery systems. The optimally of these growing delivery systems has been considered an essential aspect due to the necessity of energy-saving, CO2 emission, and ultimately environmental benefits in recent years. To accomplish the optimality of these systems, drones often employ a hybrid power supply system architecture to boost endurance and performance. Fuel cells, batteries, solar cells, and supercapacitors are examples of power sources that may be combined in a hybrid power architecture. To allow the effective functioning of modern drones, not only an appropriate energy management system must be chosen, but also accurate and optimal modeling should be provided. This chapter proposes a comprehensive review on drone energy supply management and strategies systems to identify gaps and provide insights and recommendations for future research.
... The existing automated equipment activity recognition methods can be categorized as follows: 1) vision-based [7][8][9][10][11], 2) kinematic-based [12][13][14], and 3) sound-based [4,15,16]. Even though these methods show encouraging results in recognizing equipment activities on construction job sites, they suffer from some limitations that need to be addressed. ...
