Approximately predicting the cost and duration of school reconstruction projects in Taiwan

Chen, Wei Tong; Huang, Ying‐Hua

doi:10.1080/01446190600953805

Cited by 31 publications

(10 citation statements)

References 13 publications

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“…Kaka and Price (1991), in the UK, and Chan and Kumaraswamy (1995) and Chan (1999), in Hong Kong, investigated the application of BTC model. Elsewhere in the world, Chen and Huang (2006) studied in the model in Taiwan, Chan (2001) and Endut et al (2006) examined it in Malaysia, Ogunsemi and Jagboro (2006) developed the model in Nigeria, and Hoffman et al (2007) re-examined the relationship in the USA. Moreover, Le-Hoai et al (2009) tried to fit empirical building project data for the BTC model in Vietnam.…”

Section: Literature Reviewmentioning

confidence: 99%

Time‐cost relationships of building construction project in Korea

Le‐Hoai

Lee

2009

Facilities

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Purpose -Time is an important factor in any project, especially in construction projects. Although using detailed scheduling techniques is unavoidable, a model to predict or benchmark time performance has interested many researchers. For an exploratory purpose, this paper aims to investigate the time-cost relationship proposed by Bromilow with data from construction projects in Korea. Design/methodology/approach -The data are collected from 34 historical building projects in Korea. Construction cost is adjusted using a building price index. Analysis is carried out on variety of project characteristics. Findings -It is shown that a time-cost relationship is applicable to the Korean construction industry. Further analysis indicates that the original Bromilow time-cost model is not the best fit regression form, and alternative models are proposed.Research limitations/implications -The data are limited to a small sample of 34 building projects. This limitation arises because of the data collection approach, which is direct contact with historical project documents supplied by construction firms. Originality/value -Models from this study can serve as a reference tool for practitioners in the early stages of building projects in Korea. The results from this study are not intended to reject or replace detailed construction scheduling techniques.

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Section: Literature Reviewmentioning

confidence: 99%

Time‐cost relationships of building construction project in Korea

Le‐Hoai

Lee

2009

Facilities

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“…In addition, Chan [9] introduced an appropriate BTC model on the Malaysian construction industry through conducting a similar study for public projects between the late 1980s and the early 1990s. Furthermore, Chen and Huang [11] showed that the original BTC model is suitable only for private sector's projects. Moreover, Le-Hoai and Lee [22] indicated that the time-cost relationship can be implemented in the building projects in South Korea.…”

Section: Model Validationmentioning

confidence: 99%

“…Hoffman et al [16] re-examined BTC model in the USA, Ogunsemi and Jagboro [25] developed time-cost model in Nigeria. Chen and Huang [11] investigated the time-cost model in Taiwan, Endut et al [14] and Chan [9] carried out the model in Malaysia. Bromilow and Henderson [5], Bromilow et al [6,7], Sidwell [28], Walker [31], Ng et al [24], and Love et al [23] have standardized BTC model in Australia.…”

Section: A Relationship Between Time and Costmentioning

confidence: 99%

Development of Time-Cost Models for Building Construction Projects in Bangladesh

Rahman¹,

Lee²,

Khanh³

et al. 2014

Journal of Construction Engineering and Project Management

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Estimating time and cost is an important mission in the early phase of a construction project, especially in feasibility study. It provides a foundation for making decision whether or not the project is performed on schedule and within budget. Thus, reliability of this estimate plays a key role in measuring the success of a project. This study was carried out to investigate the timecost relationship in building construction projects in Bangladesh. The mathematical equation used in this study is based on Bromilow's equation. The research data were collected from sixty-three completed building projects through questionnaire survey. Type of clients, type of projects, and tender methods are the project characteristics considered in this study. The results of analysis indicated that the Bromilow's time-cost (BTC) models developed for each project characteristic are appropriate due to quite high coefficient of determination and relatively small mean percent errors. Among them, the forecasted model for time and cost according to tender methods is the best fit model. It is concluded that the BTC model could be applied in building construction project to predict its time and cost in Bangladesh. Four different regression models were also developed in this study. The results of BTC model between some selected countries were compared to gain the comprehensive view.

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“…Chen and Huang [11] analyze retroft costs and duration for schools in Taiwan. The authors also compare linear regression to neural networks.…”

Section: Existing Literature and Alternative Methodologiesmentioning

confidence: 99%

“…On the surface, the procedure bears some similarity to standard re-sampling techniques such as the bootstrap, except that it is applied before the analysis. 11 11 The procedure is referred to as a generic "Monte Carlo Simulation" in FEMA 156/157 [4,5].…”

Section: The Fema 156/157 "Super Database"mentioning

confidence: 99%

A methodology for estimating seismic retroft costs

Fung¹,

Butry²,

Sattar³

et al. 2017

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Presidential Executive Order 13717 (EO 13717), Establishing a Federal Earthquake Risk Management Standard, encourages federal agencies to "enhance resilience... [to] future earthquakes" by evaluating and retroftting existing federal buildings based on current existing building codes. However, while guidance on evaluation and retroft practices is readily available, a standard approach to estimating retroft costs does not exist. Moreover, the absence of easily obtainable estimates can make retrofts prohibitive for decision-makers.This paper develops a cost-estimating methodology for seismic retrofts that (1) captures the essential factors that drive seismic retroft costs, such as building construction and square footage; and (2) is reproducible using data available to decision-makers.The methodology builds on FEMA 156 and 157, Typical Costs for Seismic Rehabilitation of Existing Buildings, Volumes 1 and 2. A series of regression models is ft to the data used for the FEMA reports, with the models varying in the level of data required; e.g., a decision-maker may not have information on building construction for each asset in their inventory. Thus, the trade-off from estimating retroft costs subject to data limitations can be quantifed in terms of prediction error, providing decision-makers with a set of options for estimating costs together with a measure of predictive performance. We fnd that a simple model, in terms of data requirements, can deliver reliable predictions.

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Approximately predicting the cost and duration of school reconstruction projects in Taiwan

Cited by 31 publications

References 13 publications

Time‐cost relationships of building construction project in Korea

Time‐cost relationships of building construction project in Korea

Development of Time-Cost Models for Building Construction Projects in Bangladesh

A methodology for estimating seismic retroft costs

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