MPC Research Reports
Report Details

Title:	Optimize Work Zone Safety with Spatial Information Technology and Eye Tracker
Authors:	Peng Liu and Chengyi Zhang
University:	University of Wyoming
Publication Date:	Jul 2022
Report #:	MPC-22-472
Project #:	MPC-653
TRID #:	01858612
Keywords:	construction and maintenance personnel, eye movements, training, work zone safety

Abstract

This project aims to using eye-tracking technology to optimize work zone safety. First, a systematic literature review was conducted to present the background of its application in construction safety. In total, 81 publications were screened from Web of Science (WoS), Scopus, and American Society of Civil Engineers (ASCE) library. A statistical analysis was conducted from time-series, location, publication, and co-author analysis. The procedures of the research were summarized, including how to recruit participants, experiment design, and eye-tracking metrics. Opportunities and challenges of the technology on construction safety were also presented. The project revolved around three research aims: (1) test the elements that can influence workers' hazard identification rate (HIR); (2) verify whether the immediate training is efficient in improving workers' HIR; (3) illustrate whether the safety training has an effect on visual search strategy for different groups. The result shows that field of study can influence workers' HIR but safety training certificates and related work experience cannot, and safety training has a different effect on high-rate and low-rate groups. It recommends that the organization should adopt various safety training methods to improve its visual search strategy.

How to Cite

Liu, Peng, and Chengyi Zhang. Optimize Work Zone Safety with Spatial Information Technology and Eye Tracker, MPC-22-472. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2022.