Assessment of Cost Escalation factors for Building and Civil Engineering Projects in Nigerian Construction Industry: a Multiple Regression Approach

Authors

  • Nasiru Zakari Muhammad Construction Research Centre (CRC), Institute of Smart Infrastructures and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ali Keyvanfar Construction Research Centre (CRC), Institute of Smart Infrastructures and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Muhd Zaimi Abd Majid Construction Research Centre (CRC), Institute of Smart Infrastructures and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Arezou Shafaghat Construction Research Centre (CRC), Institute of Smart Infrastructures and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Aliyu Muhammad Magana Bayero University Kano
  • Hasan Lawan Kano University of Science and Technology Wudil
  • Saeed Balubaid Construction Research Centre (CRC), Institute of Smart Infrastructures and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4614

Keywords:

Cost escalation, factors, multiple regression models

Abstract

Estimation of cost for building and civil engineering projects with minimum error at the conceptual stage of project development is crucial for planning. This paper evaluated the most significant cost escalation causing factors in building and civil engineering projects. Questionnaires were administered to clients, consultants and contractors to elicit information regarding their opinions with regard to these factors. Mean score value for each factor was determined. Also level of agreement of ranking of such factors between groups was investigated. The results of the analysis show that the most significant causes were the “Fluctuation of price of material†and “Variations†with the highest mean score values of 3.9 and 3.73 respectively. Also there was agreement in the opinions between all the groups with regard to these factors. A linear multiple regression models for the prediction of final cost of construction of building and civil engineering projects were developed using Statistical Package for Social Sciences (SPSS).

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Published

2015-05-25

How to Cite

Assessment of Cost Escalation factors for Building and Civil Engineering Projects in Nigerian Construction Industry: a Multiple Regression Approach. (2015). Jurnal Teknologi, 74(4). https://doi.org/10.11113/jt.v74.4614