Forecasting residential construction demand in Singapore: a comparative study of the accuracy of time series, regression and artificial neural network techniques
BEEHUA GOH - Engineering, Construction and Architectural …, 1998 - emerald.com
It is widely believed that the construction industry is more volatile than other sectors of the
economy. Accurate predictions of the level of aggregate demand for construction are of vital …
economy. Accurate predictions of the level of aggregate demand for construction are of vital …
Models of UK private sector quarterly construction demand
An analysis is made of private sector construction demand (quarterly new orders) grouped
into housing, commercial and industrial construction, respectively and their relationship with …
into housing, commercial and industrial construction, respectively and their relationship with …
Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
GB Hua - Construction Management and Economics, 1996 - Taylor & Francis
In recent years, demand for residential construction has been growing rapidly in Singapore.
This paper proposes the use of economic indicators to predict demand for residential …
This paper proposes the use of economic indicators to predict demand for residential …
Forecasting construction tender price index in Hong Kong using vector error correction model
JMW Wong, ST Ng - Construction management and Economics, 2010 - Taylor & Francis
Reliable short‐to medium‐term prediction of the tender price index (TPI) is crucial to
construction stakeholders, and this has stimulated the interest of the research community to …
construction stakeholders, and this has stimulated the interest of the research community to …
The dynamic effects of the Asian financial crisis on construction demand and tender price levels in Singapore
BH Goh - Building and Environment, 2005 - Elsevier
The paper aims to demonstrate the usefulness of applying a sophisticated technique to
examine, by measuring, the dynamic effects of an external shock on the construction …
examine, by measuring, the dynamic effects of an external shock on the construction …
Multiplier model for forecasting manpower demand
To better manage and forecast the demand for labor in the construction industry, a
mathematical model is developed using a distributed lag model and labor multiplier …
mathematical model is developed using a distributed lag model and labor multiplier …
Application of a bottom-up approach to estimate economic impacts of building maintenance projects: cladding rectification program in Australia
Purpose This paper critically reviews economic impact assessment methods adopted in
construction-related projects, to develop and present a novel bottom-up approach suitable to …
construction-related projects, to develop and present a novel bottom-up approach suitable to …
A discriminant model for measuring competition intensity of construction market
Purpose–“Competition intensity” is a factor in addressing competitiveness. The
understanding on competition intensity is prerequisite to the formulation of industrial …
understanding on competition intensity is prerequisite to the formulation of industrial …
The accuracy and optimal linear correction of UK construction tender price index forecasts
E Fitzgerald, A Akintoye - Construction Management and …, 1995 - Taylor & Francis
This paper uses a number of quantitative methods to assess the accuracy of the UK
construction tender price index forecast (TPI) produced by experts for the Building Cost …
construction tender price index forecast (TPI) produced by experts for the Building Cost …
Impact assessment of political administrations on the performance of the construction sector: a time series analysis
Purpose The complex interaction of politics and the economy is a critical factor for the
sustainable growth and development of the construction sector (CNS). This study aims to …
sustainable growth and development of the construction sector (CNS). This study aims to …