A Benchmark Model for Construction Duration in Public Housing Developments

Abstract Construction time has been perceived to be one of the most essential performance indicators among numerous successful projects. Considerable effort has been dedicated to the issue of how to benchmark best practice measures of construction time performance (CTP) for use in the construction industry. An industry-wide survey was launched to identify a set of critical factors affecting construction durations of high-rise public housing projects in Hong Kong. Data was derived from a representative sample of 56 standard ‘Harmony’ type residential blocks via mailed standard questionnaires. A multiple regression technique was applied to data analysis and model development. The results indicated that a benchmark model for predicting the durations of various primary work packages could be generated based on a group of significant variables identified. The testing and validity of the developed model was conducted using further project data obtained from the client organisation and confirmed significant. The model usefulness to future public housing developments was also highlighted. The regression model serves as an essential tool for benchmarking an optimum time estimate for delivery of a public housing project. A comprehensive study is currently being undertaken for private sector housing blocks in Hong Kong by adopting similar research methodology, for national and international comparisons.

[1]  Paul D Jeanne Ellis Ormrod Leedy,et al.  Practical Research: Planning and Design , 1974 .

[2]  W. W. Muir,et al.  Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .

[3]  Mohan M. Kumaraswamy,et al.  An evaluation of construction time performance in the building industry , 1996 .

[4]  Mohan M. Kumaraswamy,et al.  Compressing construction durations: lessons learned from Hong Kong building projects , 2002 .

[5]  Raymond N. Nkado Construction time information system for the building industry , 1992 .

[6]  Robert C. Camp,et al.  Benchmarking: The Search for Industry Best Practices That Lead to Superior Performance , 1989 .

[7]  Wai-ming Chan,et al.  Modelling construction durations for public housing projects in Hong Kong , 1998 .

[8]  Mohan M. Kumaraswamy,et al.  Forecasting construction durations for public housing projects: a Hong Kong perspective , 1999 .

[9]  Daniel W.M. Chan BEng,et al.  Reasons for delay in civil engineering projects - the case of Hong Kong , 1995 .

[10]  G Keller,et al.  Statistics for Management and Economics (4th Edn) , 1997 .

[11]  Farzad Khosrowshahi,et al.  Estimation of project total cost and duration for housing projects in the U.K. , 1996 .

[12]  Gerald Keller,et al.  Statistics for Management and Economics , 1990 .

[13]  Mohan M. Kumaraswamy,et al.  Determinants of construction duration , 1995 .

[14]  D. Wittink,et al.  The Application of Regression Analysis. , 1990 .

[15]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[16]  Derek H.T. Walker,et al.  Australian multi‐unit residential project construction time performance factors , 2000 .

[17]  Goh Bee-Hua,et al.  Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: the case of the Singapore residential sector , 2000 .

[18]  Mohan M. Kumaraswamy,et al.  Reasons for delay in civil engineering projects - the case of Hong Kong , 1995 .

[19]  Mohan M. Kumaraswamy,et al.  A comparative study of causes of time overruns in Hong Kong construction projects , 1997 .

[20]  Ka Chi Lam,et al.  The predictive ability of Bromilow's timecost model , 2001 .

[21]  U. Sekaran,et al.  Research Methods for Business : A Skill Building Approach (5th Edition) , 1992 .

[22]  Mohan M. Kumaraswamy,et al.  Modelling and predicting construction durations in Hong Kong public housing , 1999 .

[23]  P. Watson,et al.  Management Systems for Construction , 2000 .

[24]  D Walker Investigation into factors that determine building construction time performance , 1994 .