Wong, J M W; Chan, A P C and Chiang, Y H (2008) Modeling and forecasting construction labor demand: Multivariate analysis. Journal of Construction Engineering and Management, 134(9), pp. 664-672. ISSN 0733-9364
Abstract
This paper presents the development of advanced labor demand forecasting models at project level. A total of 11 manpower demand forecasting models were developed for the total project labor and ten essential trades. Data were collected from a sample of 54 construction projects. These data were analyzed through a series of multiple linear regression analyses that help establish the estimation models. The results indicate that project labor demand depends not only on a single factor, but a cluster of variables related to the project characteristics, including construction cost, project complexity attributes, physical site condition, and project type. The derived regression models were tested and validated using four out-of-sample projects and various diagnostic tests. It is concluded that the models are robust and reliable, which merit for contractors and HKSAR government to predict the labor required for a new construction project and facilitate human resources planning and budgeting, and that the methodology used may be applied to develop equally useful models in other subsectors, and in other countries.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | forecasting; Hong Kong; labor; project management; regression models |
| Index terms: | budgeting, multivariate analysis, project complexity, methodology, construction project, human resource, estimation, construction cost, forecasting, Hong Kong, regression model, project management, regression analysis, modelling, construction labour |
| Subjects: | prediction and forecasting, financial and cost management, analytical methods, Geography, organizational theory, production management, project management theory and practice, management, financial management, research methods, statistical analysis |
| Topics: | Project Management, Geographical Context, Research Practice, Engineering Principles, Cost Management, Business Strategy, Site Management, Human Resources |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here