Selecting the Affected Factors on Pavement Distress Problems Using Analytical Hierarchy Process [AHP]

  • Abstract
  • Keywords
  • References
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  • Abstract

    This study describes the implementation of analytical hierarchy process [AHP] in pavement multi-criteria selection problem solving. The practice of expressing flexible pavement distress priority is widely accepted. However, an insistent demand exists for a technique that allows decision makers to determine their priorities, rational weights of the importance of pavement distress priority and the ranking of these factors. In this study, AHP is adopted in selecting the best level of distress in flexible pavements in Malaysia as an example of a tropical region. Knowledgeable and experienced experts in flexible pavement maintenance at jabatan kerja raya [JKR] and Kumpulan Ikram Sdn Bhd [IKRAM] were interviewed; as pairwise comparisons, their inputs were structured. Four criteria are set as follows: cracking, surface defects, surface deformations and patching and potholes. These criteria developed into a few other sub-criteria. Results show that cracking is the most significant factor [0.5500], followed by surface deformations [0.2300], patching and potholes [0.1600] and surface defects [0.0600]. Thus, cracking has the most significant distress among the four factors.

  • Keywords

    Analytic hierarchy process; Flexible pavement; Pavement maintenance; Pavement deterioration

  • References

    1. [1] Milad A, Basri NEA, Borhan MN, Rahmat RAAO. A review of web based expert systems for flexible pavement maintenance. Jurnal Teknologi. 2016;78[6]:139-47.

      [2] Sharaf EA. Ranking versus simple optimization in setting pavement maintenance priorities: a case study from Egypt. Transportation Research Record. 1993[1397].

      [3] Farhan J, Fwa T. Use of Fuzzy Analytic Hierarchy Process in Pavement Maintenance Planning.

      [4] Meade LM, Presley A. R&D project selection using the analytic network process. Engineering Management, IEEE Transactions on. 2002;49[1]:59-66.

      [5] Saaty TL. Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks. Pittsburgh, USA: RWS publications; 2005. 47-8 p.

      [6] Fang F, Nan W. Optimal Hierarchical Decision-Making for Heat Source Selection of District Heating Systems. Mathematical Problems in Engineering,. 2014;2014:1-10.

      [7] Alonso JA, Lamata MT. Consistency in the analytic hierarchy process: a new approach. International journal of uncertainty, fuzziness and knowledge-based systems. 2006;14[04]:445-59.

      [8] Hülle J, Kaspar R, Möller K. Analytic network process–an overview of applications in research and practice. International Journal of Operational Research. 2013;16[2]:172-213.

      [9] Nor AM, Masirin MM, Sanik ME. Site Investigation Of Road Drains For Rural Road On Batu Pahat Soft Clay [BPSC]. IOSR J Mech Civ Eng. 2014;11[2]:12-9.

      [10] Endut IR, Holt GD, Shehu Z, Elma N. Factors influencing road infrastructure damage in Malaysia. 2014.




Article ID: 14004
DOI: 10.14419/ijet.v7i2.29.14004

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