Regression modelling of risk impacts on construction cost flow forecast

Henry A. Odeyinka, John Lowe, Ammar Kaka

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)


    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
    Issue number3
    Publication statusPublished - 2012


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


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