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Grey Forecasting of Construction Demand in Hong Kong over the Next Ten Years

Authors: Tan, Yongtao; Langston, Craig; Wu, Min; Ochoa, J. Jorge;

Grey Forecasting of Construction Demand in Hong Kong over the Next Ten Years

Abstract

AbstractThe Hong Kong construction industry since 1997 has experienced a difficult time in regard to construction output until recently. The future of the local construction industry remains uncertain. Forecasting of future development would be attractive to parties in the industry. Based on past data of the local construction industry, a grey forecasting model is developed to predict the annual growth of construction demand for Hong Kong over the next ten years. With the implementation of ten large infrastructure projects and further collaboration with the Pearl River Delta region, there will be many potential opportunities for the local industry, especially in the transportation sector. The data and the forecast are useful reference for clients, contractors and other industry participants to formulate their short-term and long-term strategic planning.

Country
Australia
Keywords

690, grey model, forecasting, construction demand, Hong Kong, Grey model, Construction Engineering

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Average
    impulse
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average