A CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects

Choong Wan Koo, Tae Hoon Hong, Chang Taek Hyun, Kyo Jin Koo

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

Decision-making in the early stage of a project has a significant impact on the project. However, limited and uncertain information on the project and a complex correlation among various factors that affect the project's construction duration and cost, make it difficult to predict and manage the project. Therefore, this study developed a case-based reasoning (CBR)-based hybrid model with which to predict the construction duration and cost of a project in its early stage. One hundred and one cases among multi-family housing projects that were completed between 2000 and 2005 were used. The CBR-based hybrid model developed in this study is the result of integrating the advantages of (i) prediction methodolo-gies, such as case-based reasoning, multiple regression analysis, and artificial neural networks, (ii) the optimization process using a genetic algorithm, and (iii) the probability distribution and the analysis process of outlier using Monte-Carlo simu-lation. The results of this study are expected to support the owners and managers who are in charge of estimating budget and construction duration in both public and private sectors, in predicting accurately the construction duration and cost at the business planning or early stage of a project.

Original languageEnglish
Pages (from-to)739-752
Number of pages14
JournalCanadian Journal of Civil Engineering
Volume37
Issue number5
DOIs
Publication statusPublished - 2010 May 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Environmental Science(all)

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