Predictors of construction time in detached housing projects

Forsythe, P; Davidson, W; Phua, F

Predictors of construction time in detached housing projects

Forsythe, P Davidson, W Phua, F

Permalink

Publisher:: The University of Melbourne
Publication Type:: Conference
Citation:: Forsythe Perry, Davidson Warwick, and Phua Florence 2010, 'Predictors of construction time in detached housing projects', , The University of Melbourne, http://www.msd.unimelb.edu.au/events/conferences/aubea2010/, , pp. A019-1-A019-17.
Issue Date:: 2010

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download 2010000016OK.pdfAdobe PDF (677.41 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Forsythe, P	en_US
dc.contributor.author	Davidson, W	en_US
dc.contributor.author	Phua, F	en_US
dc.contributor.editor	NA	en_US
dc.date	20100714	en_US
dc.date.accessioned	2012-02-02T11:10:54Z
dc.date.available	2012-02-02T11:10:54Z
dc.date.issued	2010	en_US
dc.identifier	2010000016	en_US
dc.identifier.citation	Forsythe Perry, Davidson Warwick, and Phua Florence 2010, 'Predictors of construction time in detached housing projects', , The University of Melbourne, http://www.msd.unimelb.edu.au/events/conferences/aubea2010/, , pp. A019-1-A019-17.	en_US
dc.identifier.issn	-	en_US
dc.identifier.other	E1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16611
dc.description.abstract	Building on previous literature on construction time performance (CTP), this study looks at the extent to which Gross Floor Area (GFA) and Number of Levels (NoL) are important factors in determining the construction time in Australian detached housing projects. Using a dataset of 196 comparable detached housing projects the results show that while GFA and NoL correlate strongly with estimated construction time, they correlated weakly with actual construction time. Dynamically changing events during construction appear to be the reason for the difference. Analyses indicate that cost variations brought about by Design changes, Site management errors; Site workmanship problems and Unforeseen site problems are significant factors in explaining the difference between actual and estimated construction time. Further, these factors affect larger housing projects (>400m2) more significantly than they do smaller projects (<350m2). It would therefore seem that even though GFA on its own has a poor correlation with actual construction time, this improves when teamed with the above cost variations. These results open up avenues for future research to look more closely at the effects of project dynamics (e.g. using causes of cost increases as a proxy) when predicting CTP, rather than relying too heavily on static variables like GFA or NoL. It is important that such variables are taken into account as a basis for teaching and promulgating an analytical basis to predicting construction time.	en_US
dc.publisher	The University of Melbourne	en_US
dc.relation.ispartof	Verified OK	en_US
dc.relation.ispartof	AUBEA 2010 Conference	en_US
dc.relation.isbasedon	http://www.msd.unimelb.edu.au/events/conferences/aubea2010/conference-papers/pdf/A019-Forsythe-Davidson-Phua.pdf	en_US
dc.subject	Construction; time performance; Australian housing.	en_US
dc.subject.classification	Building	en_US
dc.title	Predictors of construction time in detached housing projects	en_US
dc.type	Conference
utslib.location	http://www.msd.unimelb.edu.au/events/conferences/aubea2010/	en_US
utslib.citation.startpage	A019-1	en_US
utslib.citation.endpage	A019-17	en_US
utslib.identifier.org	DAB.School of Built Environment	en_US
utslib.for	120200	en_US
utslib.percentage	100	en_US
dc.location.activity	The University of Melbourne, Melbourne	en_US
utslib.copyright.status	open_access

Abstract:

Building on previous literature on construction time performance (CTP), this study looks at the extent to which Gross Floor Area (GFA) and Number of Levels (NoL) are important factors in determining the construction time in Australian detached housing projects. Using a dataset of 196 comparable detached housing projects the results show that while GFA and NoL correlate strongly with estimated construction time, they correlated weakly with actual construction time. Dynamically changing events during construction appear to be the reason for the difference. Analyses indicate that cost variations brought about by Design changes, Site management errors; Site workmanship problems and Unforeseen site problems are significant factors in explaining the difference between actual and estimated construction time. Further, these factors affect larger housing projects (>400m2) more significantly than they do smaller projects (<350m2). It would therefore seem that even though GFA on its own has a poor correlation with actual construction time, this improves when teamed with the above cost variations. These results open up avenues for future research to look more closely at the effects of project dynamics (e.g. using causes of cost increases as a proxy) when predicting CTP, rather than relying too heavily on static variables like GFA or NoL. It is important that such variables are taken into account as a basis for teaching and promulgating an analytical basis to predicting construction time.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16611