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Spatio-temporal analysis of trajectories for safer construction sites

Muhammad Arslan (Department of Computer Sciences, IUT Dijon-Auxerre, Universite de Bourgogne , Dijon, France)
Christophe Cruz (Department of Computer Sciences, IUT Dijon-Auxerre, Universite de Bourgogne , Dijon, France)
Ana-Maria Roxin (Department of Computer Sciences, IUT Dijon-Auxerre, Universite de Bourgogne , Dijon, France)
Dominique Ginhac (Department of Computer Sciences, IUT Dijon-Auxerre, Universite de Bourgogne , Dijon, France)

Smart and Sustainable Built Environment

ISSN: 2046-6099

Article publication date: 3 April 2018

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Abstract

Purpose

The purpose of this paper is to improve the safety of construction workers by understanding their behaviors on construction sites using spatio-temporal (ST) trajectories.

Design/methodology/approach

A review of construction safety management literature and international occupational health and safety statistics shows that the major reasons for fatalities on construction sites are mobility-related issues, such as unsafe human behaviors, difficult site conditions, and workers falling from heights and striking against or being struck by moving objects. Consequently, literature has been reviewed to find possible technological solutions to track the mobility of construction workers to reduce fatalities. This examination has suggested that location acquisition systems, such as Global Positioning System (GPS), have been widely used for real-time monitoring and tracking of workers on construction sites for hazard prevention. However, the raw data captured from GPS devices are generally available as discrete points and do not hold enough information to understand the workers’ mobility. As a solution, an application to transform raw GPS data into ST trajectories using different preprocessing algorithms is proposed for enhancing worker safety on construction sites.

Findings

The proposed system preprocesses raw GPS data for stay point detection, trajectory segmentation and intersection of multiple trajectories to find significant places and movements of workers on a construction site to enhance the information available to H&S managers for decision-making processes. In addition, it reduces the size of trajectory data for future analyses.

Originality/value

Application of location acquisition systems for construction safety management is very well addressed in the existing literature. However, a significant gap has been found: the usage of preprocessed ST trajectories is still missing in workers’ safety monitoring scenarios in the area of construction management. To address this research gap, the proposed system uses preprocessed ST trajectories to monitor workers’ movements on a construction site to identify potentially unsafe behaviors.

Keywords

Acknowledgements

This publication is based on the work supported by an award given by the French Ministry of Research. The authors thank the Conseil Régional de Bourgogne-Franche-Comté, SATT Grand-Est, and IUT-Dijon (http://iutdijon.u-bourgogne.fr) for allowing the authors to conduct a real-time case study in their laboratory. In addition, the authors want to thank Orval Touitou for his technical assistance to this research work.

Citation

Arslan, M., Cruz, C., Roxin, A.-M. and Ginhac, D. (2018), "Spatio-temporal analysis of trajectories for safer construction sites", Smart and Sustainable Built Environment, Vol. 7 No. 1, pp. 80-100. https://doi.org/10.1108/SASBE-10-2017-0047

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited