Modeling Prioritization of Urban Road Maintenance with Super Decision Software (Case Study: Hamedan City)

Document Type : Research Paper

Authors

1 MSc. in Civil Engineering, Faculty of Civil Engineering and Architecture, Malayer University, Malayer, I R. Iran.

2 Assistant Professor, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Malayer University, Malayer, I. R. Iran.

Abstract

In the past, engineers were not familiar with pavement management and only paid attention to pavement maintenance. Pavements that require repair and maintenance should be selected for repair and maintenance before reaching a critical state, and this operation requires the experience of engineers based on the pavement management status. Prioritizing road maintenance is one of the most essential measures for allocating funds to road and pavement improvement projects. The simultaneous use of different factors in conventional project prioritization models seems to be essential. In this study, using factors such as Damage Index (PCI), traffic and service level, surrounding uses, accident rates, and machinery, the maintenance of several important streets in Hamedan city has been prioritized using the Analytical Network Process (ANP) method. Results of the sensitivity analysis showed that Axis 2 (Mahdieh Street) with a weight of 0.39 and Axis 1 (Sadaf Street) with a weight of 0.27 have the lowest priority. This indicates that relying on a single criterion cannot provide a correct analysis of the condition of the existing roads.

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References

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Journal of Transportation Infrastructure Engineering
Volume 11, Issue 3 - Serial Number 43
In Progress
November 2025
Pages 91-115

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History

  • Receive Date: 16 August 2025
  • Revise Date: 13 October 2025
  • Accept Date: 14 October 2025

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