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Sensor-Based Safety Performance Assessment of Individual Construction Workers

Department of Civil and Environmental Engineering and Construction, The University of Nevada, Las Vegas, NV 89154, USA
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3897;
Received: 12 October 2018 / Revised: 6 November 2018 / Accepted: 6 November 2018 / Published: 12 November 2018
(This article belongs to the Section Intelligent Sensors)
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 explored methods to quantitatively assess individual workers’ safety performance. For this, this study uses a tracking system to collect and use individuals’ location data in the proposed safety framework. A computational and analytical procedure/model was developed to quantify the safety performance of individual workers beyond detection and warning. The framework defines parameters for zone-based safety risks and establishes a zone-based safety risk model to quantify potential risks to workers. To demonstrate the model of safety analysis, the study conducted field tests at different construction sites, using various interaction scenarios. Probabilistic evaluation showed a slight underestimation and overestimation in certain cases; however, the model represented the overall safety performance of a subject quite well. Test results showed clear evidence of the model’s ability to capture safety conditions of workers in pre-identified hazard zones. The developed approach presents a way to provide visualized and quantified information as a form of safety index, which has not been available in the industry. In addition, such an automated method may present a suitable safety monitoring method that can eliminate human deployment that is expensive, error-prone, and time-consuming. View Full-Text
Keywords: construction; safety; awareness; communication; sensing construction; safety; awareness; communication; sensing
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MDPI and ACS Style

Park, J.; Cho, Y.K.; Khodabandelu, A. Sensor-Based Safety Performance Assessment of Individual Construction Workers. Sensors 2018, 18, 3897.

AMA Style

Park J, Cho YK, Khodabandelu A. Sensor-Based Safety Performance Assessment of Individual Construction Workers. Sensors. 2018; 18(11):3897.

Chicago/Turabian Style

Park, JeeWoong, Yong K. Cho, and Ali Khodabandelu. 2018. "Sensor-Based Safety Performance Assessment of Individual Construction Workers" Sensors 18, no. 11: 3897.

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