Vol. 3 No. 4 (2025): SJESR - December 2025
Articles

Assessing the impact of excluded risks on cost and time of construction projects in Samarra using the relative importance index (RII)

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Published 2026-01-28

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Copyright (c) 2026 Samarra Journal of Engineering Science and Research

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How to Cite

Assessing the impact of excluded risks on cost and time of construction projects in Samarra using the relative importance index (RII). (2026). Samarra Journal of Engineering Science and Research, 3(4), 1-19. https://doi.org/10.65115/x2q6mt60

Abstract

This study examined the impact of excluded risks on the cost and schedule performance of construction projects in Samarra, a city affected by persistent security-related challenges. A quantitative research approach was adopted using a structured questionnaire distributed to 49 engineers and construction experts from different engineering disciplines. The collected data were analyzed using the Relative Importance Index (RII) to evaluate excluded risks in terms of likelihood of occurrence, impact on project cost, and impact on project duration. The results indicated that security-related risks, particularly those associated with war conditions and civil disturbances, were perceived as the most critical, with RII values exceeding 0.70 in several cases. In contrast, risks related to partial occupation of projects by the employer, contract-driven design constraints, and nuclear-related considerations were assessed as less significant, with RII values generally below 0.50. The findings also showed that contracts incorporating proactive risk mitigation measures were perceived as more effective in reducing cost overruns and schedule delays than traditional insurance-based risk allocation approaches. The study concluded that improving construction project performance in security-dominant environments requires preventive contractual strategies, locally adapted risk management frameworks, and continuous professional training for engineers and contractors.

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References

  1. W. Won, W. Jung, S. Baek, and S. H. Han, “Probability and Impact Perspectives on Cost and Schedule Risks in International Construction Projects: An Empirical Investigation,” KSCE Journal of Civil Engineering, vol. 28, no. 7, pp. 2600–2612, Jul. 2024, doi: 10.1007/s12205-024-2598-7.
  2. S. Zhang, L. Zhang, and Y. Gao, “Risk allocations in construction contracts: A comparison of China’s Standard Form of Construction Contract and FIDIC Conditions of Contract for Construction,” Surveyor Times, vol. 15, no. 5, pp. 35–41, 2006.
  3. Y. Hameed and G. R. Abduljabbar, “Risk assessment process for construction projects in Iraq using an MCDM framework applying the combined TOPSIS–SWARA method,” OSF Preprints, 2022, doi: 10.17605/OSF.IO/TNAWV.
  4. N. G. Bunni, FIDIC’s International Conditions of Contract: Managing Risk, seminar paper, IBC/FIDIC, London, Oct. 2005.
  5. J. P. Fitzsimmons, R. Lu, Y. Hong, and I. Brilakis, “CONSTRUCTION SCHEDULE RISK ANALYSIS - A HYBRID MACHINE LEARNING APPROACH,” Journal of Information Technology in Construction, vol. 27, pp. 70–93, 2022, doi: 10.36680/j.itcon.2022.004.
  6. I. L. Abramov and Z. A. K. Al-Zaidi, “Assessing of the Performance of Construction Companies in Iraq in Terms of Managing Risk Factors,” in AIP Conference Proceedings, American Institute of Physics Inc., Nov. 2023. doi: 10.1063/5.0177948.
  7. A. Lapidus, D. Topchiy, T. Kuzmina, and O. Chapidze, “Influence of the Construction Risks on the Cost and Duration of a Project,” Buildings, vol. 12, no. 4, Apr. 2022, doi: 10.3390/buildings12040484.
  8. E. Hindaryanto, M. Ardans, D. Kurnia, and H. H. Purba, “A systematic review of project risk in construction projects,” Advance Researches in Civil Engineering, vol. 6, no. 1, pp. 57–70, 2024, doi: 10.30469/arce.2025.496131.1081.
  9. V. Aarthipriya, G. Chitra, and J. S. Poomozhi, “Risk and its impacts on time and cost in construction projects,” Journal of Project Management (Canada), vol. 5, no. 4, pp. 245–254, 2020, doi: 10.5267/j.jpm.2020.6.002.
  10. C. Engineering Center of Expertise, “USACE Recommended Best Practices, Cost & Schedule Risk Analysis (CSRA),” 2024.
  11. I. Mahdi et al., “Developing risk assessment model for FIDIC, NEC and local contracts in construction projects,” Online, 2021. Available: https://www.researchgate.net/publication/351083148
  12. Hassoon, A. (2025). Growing demand for housing and productivity challenges in the construction industry: workforce and management factors. Publication Source. https://doi.org/10.1186/s43065-025-00116-4
  13. A. H. Nassar and A. M. Elbisy, “A Machine Learning Approach to Predict Time Delays in Marine Construction Projects,” Engineering, Technology and Applied Science Research, vol. 14, no. 5, pp. 16125–16134, Oct. 2024, doi: 10.48084/etasr.8173.
  14. Bunni, N. G. (2001). FIDIC’s new suite of contracts: Clauses 17 to 19—Risk, responsibility, liability, indemnity, insurance, and force majeure. *International Construction Law Review*, 18(3).
  15. S. Mohammed and A. Hasan, “In-depth analysis of critical factors affecting Iraqi construction projects performance,” Open Engineering, vol. 14, no. 1, Jan. 2024, doi: 10.1515/eng-2024-0006.
  16. H. Z. Faeq and T. A. Khaleel, “Determine the Most Important Construction Risks and Know the Degree of Their Impact on Construction Projects in Iraq,” International Journal of Safety and Security Engineering, vol. 13, no. 5, pp. 933–943, 2023, doi: 10.18280/ijsse.130517.
  17. A. Had, F. E. M. Ghazali, B. Jrew, and A. Hassoon, “Sustainable development strategies for improving the efficiency and safety of a highway in Iraq,” Edelweiss Applied Science and Technology, vol. 9, no. 5, pp. 43–52, Jun. 2025, doi: 10.55214/25768484.v9i5.6775.
  18. Ariza-Flores, V. A., & Zavala Ascaño, G. (2025). Quantitative risk analysis framework for cost and time estimation in road infrastructure projects. Infrastructures, 10(6), 139. https://doi.org/10.3390/infrastructures10060139
  19. Ichsan, Muhammad. (2025). Monte Carlo simulation for enhancing schedule and cost risk analysis in construction projects. Applied Sciences, 15(13), Article 7464. https://doi.org/10.3390/app15137464
  20. H. S. M. A. Alshehhi, R. S. @ M. Sidek, and E. A. Rozali, “The impact of risk management on the performance of construction projects,” in Proc. Singapore International Conference on Management & Business Practices (MBP), Singapore, Mar. 13–14, 2024, pp. 207–208, doi: 10.20319/icbellp.207208.
  21. AACE International. (2008, October). Risk analysis and contingency determination using range estimating (TCM framework: 7.6 – Risk management) (Recommended Practice No. 41R-08). AACE International.
  22. Restrepo Ramirez, A. F., & Rua Machado, C. A. (2025). Predicting delays and cost overruns in construction projects: A machine learning approach. Revista EIA, 22(44), 1–30. https://doi.org/10.24050/reia.v22i43.1861
  23. AACE International, Recommended Practice No. 44R-08: Risk Analysis and Contingency Determination Using Expected Value, TCM Framework: 7.6 – Risk Management, AACE International, Morgantown, WV, USA, 2012.

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