Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5622
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estate-
dc.creatorChan, APC-
dc.creatorYi, W-
dc.creatorChan, DWM-
dc.creatorWong, DP-
dc.date.accessioned2014-12-11T08:27:27Z-
dc.date.available2014-12-11T08:27:27Z-
dc.identifier.issn0742-597X-
dc.identifier.urihttp://hdl.handle.net/10397/5622-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rightsCopyright 2013 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 open URL of the article: http://dx.doi.org/10.1061/(ASCE)ME.1943-5479.0000162en_US
dc.subjectHeat stress modelen_US
dc.subjectToleranceen_US
dc.subjectOutdooren_US
dc.subjectHeat strokeen_US
dc.titleUsing the Thermal Work Limit (TWL) as an environmental determinant of heat stress for construction workersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage414-
dc.identifier.epage423-
dc.identifier.volume29-
dc.identifier.issue4-
dc.identifier.doi10.1061/(ASCE)ME.1943-5479.0000162-
dcterms.abstractConstruction 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of management in engineering, 20 Oct. 2012, v. 29, no. 4, p. 414-423-
dcterms.isPartOfJournal of management in engineering-
dcterms.issued2012-10-20-
dc.identifier.isiWOS:000324467400012-
dc.identifier.scopus2-s2.0-84884655726-
dc.identifier.eissn1943-5479-
dc.identifier.rosgroupidr65409-
dc.description.ros2012-2013 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Chan_TWL_Evironmental_Workers.pdfPre-published version3.25 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

147
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

578
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

48
Last Week
0
Last month
1
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

43
Last Week
0
Last month
0
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.