Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27970
Title: Modeling and forecasting construction labor demand : multivariate analysis
Authors: Wong, JMW
Chan, APC 
Chiang, YH 
Keywords: Forecasting
Hong Kong
Labor
Project management
Regression models
Issue Date: 2008
Publisher: American Society of Civil Engineers
Source: Journal of construction engineering and management, 2008, v. 134, no. 9, p. 664-672 How to cite?
Journal: Journal of construction engineering and management 
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.
URI: http://hdl.handle.net/10397/27970
ISSN: 0733-9364
EISSN: 1943-7862
DOI: 10.1061/(ASCE)0733-9364(2008)134:9(664)
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