Modelling and predicting high-rise dwellings costs in Singapore
The public housing in Singapore (commonly known as the HDB flats) accommodates about 87% of the population in Singapore. Due to the current competitive construction market, the common estimating methods adopted for the Lump Sum Contract without Bills of Quantities have imposed more risks on tenderer...
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sg-ntu-dr.10356-194672020-09-26T21:14:39Z Modelling and predicting high-rise dwellings costs in Singapore Chua, Beng Hwa. Tan, Yong Meng. Poh, Paul Soon Huat Centre for Advanced Construction Studies DRNTU::Engineering::Civil engineering::Construction management The public housing in Singapore (commonly known as the HDB flats) accommodates about 87% of the population in Singapore. Due to the current competitive construction market, the common estimating methods adopted for the Lump Sum Contract without Bills of Quantities have imposed more risks on tenderers. Many research studies have been based on the principle of cost significance, which hypothesizes that a relatively small number of cost-significant items (about 20% of the total number of items) contributes to a large proportion (about 80%) of the total cost. Master of Science (International Construction Management) 2009-12-11T09:18:31Z 2009-12-11T09:18:31Z 1996 1996 Thesis http://hdl.handle.net/10356/19467 en NANYANG TECHNOLOGICAL UNIVERSITY 192 p. application/pdf |
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DRNTU::Engineering::Civil engineering::Construction management Chua, Beng Hwa. Tan, Yong Meng. Modelling and predicting high-rise dwellings costs in Singapore |
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The public housing in Singapore (commonly known as the HDB flats) accommodates about 87% of the population in Singapore. Due to the current competitive construction market, the common estimating methods adopted for the Lump Sum Contract without Bills of Quantities have imposed more risks on tenderers. Many research studies have been based on the principle of cost significance, which hypothesizes that a relatively small number of cost-significant items (about 20% of the total number of items) contributes to a large proportion (about 80%) of the total cost. |
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Poh, Paul Soon Huat |
author_facet |
Poh, Paul Soon Huat Chua, Beng Hwa. Tan, Yong Meng. |
format |
Theses and Dissertations |
author |
Chua, Beng Hwa. Tan, Yong Meng. |
author_sort |
Chua, Beng Hwa. |
title |
Modelling and predicting high-rise dwellings costs in Singapore |
title_short |
Modelling and predicting high-rise dwellings costs in Singapore |
title_full |
Modelling and predicting high-rise dwellings costs in Singapore |
title_fullStr |
Modelling and predicting high-rise dwellings costs in Singapore |
title_full_unstemmed |
Modelling and predicting high-rise dwellings costs in Singapore |
title_sort |
modelling and predicting high-rise dwellings costs in singapore |
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2009 |
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http://hdl.handle.net/10356/19467 |
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