Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6291
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dc.contributorDepartment of Building and Real Estate-
dc.creatorYi, W-
dc.creatorChan, APC-
dc.date.accessioned2014-12-11T08:26:54Z-
dc.date.available2014-12-11T08:26:54Z-
dc.identifier.issn0742-597X-
dc.identifier.urihttp://hdl.handle.net/10397/6291-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rightsCopyright 2014 by the American Society of Civil Engineersen_US
dc.rightsThis is the author’s version of a work that was accepted for publication in Journal of Management in Engineering. The article is available at http://dx.doi.org/10.1061/(ASCE)ME.1943-5479.0000284en_US
dc.subjectHot and humid climateen_US
dc.subjectConstruction workersen_US
dc.subjectEnvironmental indicatoren_US
dc.subjectHeat stress modelen_US
dc.subjectHeat tolerance timeen_US
dc.titleWhich environmental indicator is better able to predict the effects of heat stress on construction workers?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1061/(ASCE)ME.1943-5479.0000284-
dcterms.abstractExtremely 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 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 in two different construction sites. The mean absolute percentage error (MAPE) and Theil's U inequality coefficient were used to assess these models in terms of predictive accuracy. Wet bulb globe temperature (WBGT) was found to have the highest validity (MAPE = 6.5%, Theil's U inequality coefficient = 0.05) and practicality in predicting the effects of heat stress on construction workers. Specific heat stress guidelines can be formulated based on WBGT, which can protect well the health and safety of site personnel working in hot and humid weather conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of management in engineering, 10.1061/(ASCE)ME.1943-5479.0000284 (Jan. 9, 2014)-
dcterms.isPartOfJournal of management in engineering-
dcterms.issued2014-01-09-
dc.identifier.eissn1943-5479-
dc.identifier.rosgroupidr71060-
dc.description.ros2013-2014 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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