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Title: Using the Thermal Work Limit (TWL) as an environmental determinant of heat stress for construction workers
Authors: Chan, APC 
Yi, W 
Chan, DWM 
Wong, DP
Issue Date: 20-Oct-2012
Source: Journal of management in engineering, 20 Oct. 2012, v. 29, no. 4, p. 414-423
Abstract: Construction workers are vulnerable to heat stress in summer as evidenced by deaths and injuries caused by heat stroke. Over the past centuries, many heat stress indices have been developed to assist with the management of these problems. To address this pressing need of the industry, an enhanced model based on a multi-dimensional environmental indicator, the Thermal Work Limit (TWL) index, is developed. Field studies were conducted between July and September 2010 in Hong Kong on ten apparently healthy and experienced construction rebar workers. Based upon 281 sets of synchronized meteorological and physiological data collected from four different construction sites, physiological, work—related, environmental and personal parameters were measured to construct the heat stress model. Multiple linear regression showed that a total of ten determining factors are able to predict the workers' subjective Rating of Perceived Exertion (RPE) (adjusted R² =.79, p<.05). The accuracy of the TWL heat stress model was found to be statistically acceptable (Mean Absolute Percentage Error = 4.3%, Theil's U inequality coefficients = 0.003). Alcohol drinking habit, age and work duration are the three most important predictors to determine the physiological responses of construction workers. The model reported in this paper provides a scientific prediction of the reality which may benefit the construction industry to produce solid guidelines for workers working in hot weather.
Keywords: Heat stress model
Tolerance
Outdoor
Heat stroke
Publisher: American Society of Civil Engineers
Journal: Journal of management in engineering 
ISSN: 0742-597X
EISSN: 1943-5479
DOI: 10.1061/(ASCE)ME.1943-5479.0000162
Rights: Copyright 2013 by the American Society of Civil Engineers
This is the author’s version of a work that was accepted for publication in Journal of Management in Engineering. The open URL of the article: http://dx.doi.org/10.1061/(ASCE)ME.1943-5479.0000162
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