Methodology for assessing geodetic risks in bridge construction

Authors

DOI:

https://doi.org/10.31617/2.2025(56)07

Keywords:

risk management, geodetic works, bridge construction, MORAG, occupational safety, ISO 31000.

Abstract

The issue of risk management in geodetic works for bridge construction projects is examined, which is relevant due to the high sensitivity of structural assembly accuracy to measurement errors and their impact on personnel safety. The study is based on the hypothesis that including the safety indicator S in the integrated risk index improves risk prioritization accuracy and ensures a preven­tive approach to management. The methodo­logy is based on a modification of the MORAG method, supplemented with the safety criterion and an algorithm for calculating weighting coefficients using the Analytic Hierarchy Process (AHP). A quantitative risk analysis was conducted using data from five similar bridge construc­tion projects. The results showed that the highest integrated risk (R = 0.342) is asso­ciated with the deviation in the position of structural supports, while the lowest (R = 0.087) is related to geodetic network inaccuracy. The proposed approach aligns with international standards ISO 31000 and ISO/IEC 31010 and can be applied for planning and monitoring geodetic works in complex engineering projects.

Author Biography

Olena PALIIENKO, State University of Trade and Economics

PhD (Technical Sciences), Associate Professor of the Department of Engineering and Land Management

References

ISO 31000:2018. Risk management - Guidelines. International Organization for Standardization. https://www.iso.org/standard/65694.html

ISO/IEC 31010:2019. Risk management - Risk assessment techniques. International Organization for Standardization. https://www.iso.org/standard/72140.html

Kowacka, M. et al. (2019). Risk analysis in geodetic works for transport construction projects. Journal of Civil Engineering, 45(3), 112-124.

Li, X., & Yin, Y. (2022). Multi-criteria risk assessment in infrastructure projects. Engineering Structures, 250, 112-130.

Saaty, T. (1980). The Analytic Hierarchy Process. McGraw-Hill. https://doi.org/10.21236/ADA214804

Tu, Z. et al. (2024). System dynamics approach for risk control in large-scale construction. Safety Science, 160, 109-125.

Wu, D. et al. (2024). Machine learning approaches for risk prediction in construction. Automation in Construction, 152, 104-118.

Yin, Y., et al. (2023). Safety-oriented risk management in bridge engineering. Structural Safety, 101, 200-215.

Published

2025-12-16

How to Cite

[1]
PALIIENKO О. 2025. Methodology for assessing geodetic risks in bridge construction. Commodity science. Technologies. Engineering. 56, 4 (Dec. 2025), 82–90. DOI:https://doi.org/10.31617/2.2025(56)07.

Issue

Section

GEOENGINEERING AND ENVIRONMENTAL PROTECTION