Ranking of Factors Affecting Construction Project Quality Using the Hierarchical Method (Case Study: Kabul)

Authors

  • Mohammad Hossein Mahdavi Department of Civil Engineering, International University of Chabahar, Chabahar, Iran.
  • Amir Bahador Moradikhou * Department of Civil Engineering, International University of Chabahar, Chabahar, Iran. https://orcid.org/0000-0001-9289-3384

https://doi.org/10.48314/ijrceai.v2i2.47

Abstract

In this study, attempts will be made to prioritize factors that affect the quality of construction projects in Kabul using the Analytical Hierarchy Process (AHP). The reason for the need to consider the quality in construction projects is extremely important because of the large financial, social, and environmental expenses. So, determining factors influencing quality in construction projects could increase management effectiveness. In this study, initially, the factors affecting the quality of construction projects were identified by reviewing literature and interviewing experts in the construction sector. Then, the prioritization of factors affecting the quality of construction projects was made by using the AHP. In the AHP method, an analytical hierarchy of influential factors was formed, which includes different levels of main factors and subfactors, such as communication, managerial, legal, social and cultural, project-related, occupational, environmental, and safety factors. According to the results, communication factor having relative weight of 0.299, takes first place; the managerial factor with a relative weight of 0.256, second; the legal, social, and cultural factor with a weight of 0.139, third; and the safety factor with a weight of 0.048 lastly. Conclusions from this study will be helpful for project managers and policy makers in improving construction project quality in terms of construction industry in Kabul. It can provide a foundation for further research into this field in other parts of the world. In general, this study indicates that there are several factors that affect construction project quality in Kabul and a multidimensional approach should be taken.

Keywords:

Construction project quality, Analytical hierarchy process, Project management, Materials and equipment

References

  1. [1] Nawaz, W., Linke, P., & Koҫ, M. (2019). Safety and sustainability nexus: A review and appraisal. Journal of cleaner production, 216, 74–87. https://doi.org/10.1016/j.jclepro.2019.01.167

  2. [2] Kakar, A. S., Hasan, A., Jha, K. N., & Singh, A. (2022). Project cost performance factors in the war-affected and conflict-sensitive Afghan construction industry. Journal of engineering, design and technology, 22(5), 1570–1590. https://doi.org/10.1108/JEDT-11-2021-0657

  3. [3] Zarei, E., Khan, F., & Abbassi, R. (2022). A dynamic human-factor risk model to analyze safety in sociotechnical systems. Process safety and environmental protection, 164, 479–498. https://doi.org/10.1016/j.psep.2022.06.040

  4. [4] Liu, B., & Lu, Q. (2020). Creating a sustainable workplace environment: Influence of workplace safety climate on Chinese healthcare employees’ presenteeism from the perspective of affect and cognition. Sustainability, 12(6), 1–17. https://doi.org/10.3390/su12062414

  5. [5] Gunduz, M., & Almuajebh, M. (2020). Critical success factors for sustainable construction project management. Sustainability, 12(5), 1–17. https://doi.org/10.3390/su12051990

  6. [6] Negash, Y. T., Hassan, A. M., Tseng, M. L., Ali, M. H., & Lim, M. K. (2023). Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry. Environmental science and pollution research, 30(25), 67303–67325. https://doi.org/10.1007/s11356-023-27060-8

  7. [7] Farhat, K. R., & Rana, A. S. (2021). Significant factors affecting quality and quality maximizing methods of construction projects in outskirt areas of Afghanistan. IOP conference series: Earth and environmental science, 889(1), 12078. https://doi.org/10.1088/1755-1315/889/1/012078

  8. [8] Elraaid, U., Badi, I., & Bouraima, M. B. (2024). Identifying and addressing obstacles to project management office success in construction projects: An AHP approach. Spectrum of decision making and applications, 1(1), 33–45. https://doi.org/10.31181/sdmap1120242

  9. [9] Soltanzadeh, A., Mahdinia, M., & Sadeghi-Yarandi, M. (2026). An integrated hybrid HAZOP and fuzzy analytic hierarchy process framework for enhanced safety risk prioritization in process industries. https://doi.org/10.1038/s41598-026-46519-5

  10. [10] Chan, A. P. C., Yang, Y., Choi, T. N. Y., & Nwaogu, J. M. (2022). Characteristics and causes of construction accidents in a large-scale development project. Sustainability, 14(8), 1–25. https://doi.org/10.3390/su14084449

  11. [11] Ayoobi, A. W., Inceoğlu, G., & Inceoğlu, M. (2024). Prioritizing sustainable building design indicators through global SLR and comparative analysis of AHP and SWARA for holistic assessment: A case study of Kabul, Afghanistan. Journal of building pathology and rehabilitation, 9(2), 139. https://doi.org/10.1007/s41024-024-00494-4

  12. [12] Mohandes, S. R., Sadeghi, H., Mahdiyar, A., Durdyev, S., Banaitis, A., Yahya, K., & Ismail, S. (2020). Assessing construction labours’ safety level: A fuzzy MCDM approach. Journal of civil engineering and management, 26(2), 175–188. https://doi.org/10.3846/jcem.2020.11926

  13. [13] Choi, S. D., Guo, L., Kim, J., & Xiong, S. (2019). Comparison of fatal occupational injuries in construction industry in the United States, South Korea, and China. International journal of industrial ergonomics, 71, 64–74. https://doi.org/10.1016/j.ergon.2019.02.011

  14. [14] Zhou, X. H., Shen, S. L., Xu, Y. S., & Zhou, A. N. (2019). Analysis of production safety in the construction industry of China in 2018. Sustainability, 11(17), 1–14. https://doi.org/10.3390/su11174537

  15. [15] Ahmadi, O., Mohammad Amini, M., & Zarei, E. (2024). System safety causal analysis models considering risk influence factors (RIFs). In Safety causation analysis in sociotechnical systems: Advanced models and techniques (pp. 317–362). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-62470-4_13

  16. [16] Kiani Mavi, R., & Standing, C. (2018). Critical success factors of sustainable project management in construction: A fuzzy DEMATEL-ANP approach. Journal of cleaner production, 194, 751–765. https://doi.org/10.1016/j.jclepro.2018.05.120

  17. [17] Project Management Institute. (2013). A guide to the project management body of knowledge (PMBOK Guide). Newtown Square, PA: Project Management Institute, Inc.

Published

2025-06-13

How to Cite

Mahdavi, M. H., & Moradikhou, A. B. (2025). Ranking of Factors Affecting Construction Project Quality Using the Hierarchical Method (Case Study: Kabul). International Journal of Researches on Civil Engineering With Artificial Intelligence , 2(2), 106-116. https://doi.org/10.48314/ijrceai.v2i2.47

Similar Articles

11-20 of 23

You may also start an advanced similarity search for this article.