Regression modelling of risk impacts on construction cost flow forecast

Henry A. Odeyinka, John Lowe, Ammar Kaka

    Research output: Contribution to journalArticle

    Abstract

    Significant risk factors inherent in construction cost flow forecast were identified in this study. The aim of this paper is to develop regression models to assess the impacts of the identified risks on the baseline forecast at the in-progress stage of construction. Two stages were involved in data collection. The first was a structured questionnaire survey administered on 370 UK contractors to identify significant risk factors inherent in cost flow forecast. The second stage was the collection of forecast and actual cost flow data from 55 case study projects. Variations between these pair of data sets were measured at 30 per cent, 50 per cent, 70 per cent and 100 per cent completion periods.
    Original languageEnglish
    Pages (from-to)203-221
    Number of pages19
    JournalJournal of Financial Management of Property and Construction
    Volume17
    Issue number3
    DOIs
    Publication statusPublished - 2012

    Fingerprint

    Modeling
    Construction costs
    Risk factors
    Costs
    Contractors
    Data flow
    Data collection
    Regression model
    Questionnaire survey

    Keywords

    • construction projects
    • cost flow
    • contractors
    • regression modelling
    • risk factors
    • construction industry
    • risk management

    Cite this

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    abstract = "Significant risk factors inherent in construction cost flow forecast were identified in this study. The aim of this paper is to develop regression models to assess the impacts of the identified risks on the baseline forecast at the in-progress stage of construction. Two stages were involved in data collection. The first was a structured questionnaire survey administered on 370 UK contractors to identify significant risk factors inherent in cost flow forecast. The second stage was the collection of forecast and actual cost flow data from 55 case study projects. Variations between these pair of data sets were measured at 30 per cent, 50 per cent, 70 per cent and 100 per cent completion periods.",
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    Regression modelling of risk impacts on construction cost flow forecast. / Odeyinka, Henry A.; Lowe, John; Kaka, Ammar.

    In: Journal of Financial Management of Property and Construction, Vol. 17, No. 3, 2012, p. 203-221.

    Research output: Contribution to journalArticle

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