TY - JOUR
T1 - Model for public sector design-build project selection
AU - Molenaar, Keith R.
AU - Songer, Anthony D.
PY - 1998/11
Y1 - 1998/11
N2 - Public sector owners are rapidly identifying new construction procurement methods. Changing procurement laws and documented project success are encouraging owners to attempt the design-build method of project procurement. Design-build is a radical departure from the traditional design-bid-build method. This paper reports on the analysis of 122 case studies and the resulting automated tool for public sector design-build project selection. Prediction models are developed for five performance criteria that correlate specific project characteristics to success. Performance criteria and associated models include budget variance, schedule variance, conformance to expectations, administrative burden, and overall user satisfaction. Project characteristics are categorized as project, owner, market, and relationship variables. Statistically significant correlations with success include scope definition, schedule definition, budget definition, project complexity, agency experience, agency staffing, owner design input, design-build market, design-builder prequalification, and method of selection.
AB - Public sector owners are rapidly identifying new construction procurement methods. Changing procurement laws and documented project success are encouraging owners to attempt the design-build method of project procurement. Design-build is a radical departure from the traditional design-bid-build method. This paper reports on the analysis of 122 case studies and the resulting automated tool for public sector design-build project selection. Prediction models are developed for five performance criteria that correlate specific project characteristics to success. Performance criteria and associated models include budget variance, schedule variance, conformance to expectations, administrative burden, and overall user satisfaction. Project characteristics are categorized as project, owner, market, and relationship variables. Statistically significant correlations with success include scope definition, schedule definition, budget definition, project complexity, agency experience, agency staffing, owner design input, design-build market, design-builder prequalification, and method of selection.
UR - http://www.scopus.com/inward/record.url?scp=0032208060&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)0733-9364(1998)124:6(467)
DO - 10.1061/(ASCE)0733-9364(1998)124:6(467)
M3 - Article
AN - SCOPUS:0032208060
SN - 0733-9364
VL - 124
SP - 467
EP - 479
JO - Journal of Construction Engineering and Management
JF - Journal of Construction Engineering and Management
IS - 6
ER -