contributor author | Wen Yi | |
contributor author | Albert P. C. Chan | |
date accessioned | 2017-05-08T22:25:50Z | |
date available | 2017-05-08T22:25:50Z | |
date copyright | July 2015 | |
date issued | 2015 | |
identifier other | 44585042.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/80510 | |
description abstract | Extremely hot and humid environments are common in numerous occupational settings. Construction work is tough and physically demanding, and the difficulty is exacerbated by the hot and humid weather of tropical and subtropical regions. Having established heat stress models through different environmental indicators, this study aims to ascertain which environmental indicator would be better able to predict the effects of heat stress on construction workers. Field studies were conducted during the summer in Hong Kong from July 2011 to August 2011. Physiological, work-related, environmental, and personal parameters were measured to validate the established heat stress models on the basis of 411 sets of synchronized meteorological and physiological data collected from construction workers on two different construction sites. The mean absolute percentage error (MAPE) and Theil’s | |
publisher | American Society of Civil Engineers | |
title | Which Environmental Indicator Is Better Able to Predict the Effects of Heat Stress on Construction Workers? | |
type | Journal Paper | |
journal volume | 31 | |
journal issue | 4 | |
journal title | Journal of Management in Engineering | |
identifier doi | 10.1061/(ASCE)ME.1943-5479.0000284 | |
tree | Journal of Management in Engineering:;2015:;Volume ( 031 ):;issue: 004 | |
contenttype | Fulltext | |