Ten Years Road Maintenance Activity and Forecast: A Case Study

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    This paper discusses the result of a research activity on forecasting activities as well as related financial requirement in maintaining state roads in a single local district. This forecasting is based on Pavement Condition Assessment (PCA) conducted on routes in this district, and then data was analyzed. Current practice of road maintenance does not allow local authority to project the financial requirement in maintaining the roads, as corrective actions are taken based on report and scheduled maintenance check. Hence, the condition of the road will deteriorate further and this may affect the socio-economics of the surrounding areas. For this situation, preventive maintenance will be a viable solution. With this, a method was developed to forecast 10 years of maintenance works and financial requirement. The steps taken to design this model are through pavement condition assessment (PCA) where the analysis were done. The result produces a 10 year forecast of the financial requirement for the purpose of road maintenance in the district. Based on analysis a total of RM 21.27 million is required in a span of 10 years, where 35% of the total amount is needed in the first year for corrective maintenance works.




  • Keywords

    Pavement Condition Analysis; Road Maintenance; Forecast Maintenance; Preventive Maintenance; Infrastructure Management

  • References

      [1] Claes, A., Andreas, B. & Derek, M. (1996). Road maintenance and regravelling (ROMAR) using labour-based methods [handbook]. Practical Action, London.

      [2] Dronan, M. (2016), The political economy of road management reform: Papua New Guinea’s national road rund. Asia & the Pacific Policy Studies, 3(3), pp. 443–457.

      [3] Bakó, A., Csicsely-Tarpay M., Gáspár L. & Szakos P. (1998). The development and application of a combined highway pavement management system in Hungary. 4th International Conference on Managing Pavements, 3, 1091-1105

      [4] Harvey, M. (2012). Optimising road maintenance. International Transport Forum Discussion Papers, No. 2012/12, OECD Publishing.

      [5] Anastasopoulos, P., McCullouch, B., Gkritza, K., Mannering, F. & Sinha, K. (2009). A cost savings analysis of performance-based contracts for highway maintenance operations. Journal of Infrastructure Systems, 16(4), 251-263.

      [6] Amal, M., Mohamad, M. & Aziz, N. (2012). Privation of maintenance for federal roads in Peninsular Malaysia. 5th Malaysia Road Conference.

      [7] Tillotson, H., Kerali, H. & Snaith, M. (1996). Proceedings of the International Symposium on Infrastructure of the Future, 220 – 227.

      [8] Grigg, N. (1985). Infrastructure engineering and management. A Wiley-Interscience Publication.

      [9] Chao, C., Lin, D., Luo, H., Wang, Y. & Lo, W. (2017). Non-destructive evaluation of a city roadway for pavement rehabilitation: A case study. International Journal of Pavement Research and Technology.

      [10] Nega, A., Nikraz, H. & Al-Qadi, I. (2016). Dynamic analysis of falling weight feflectometer. Journal of Traffic and Transportation Engineering (English Edition), 3(5), 427-437.




Article ID: 28846
DOI: 10.14419/ijet.v8i1.12.28846

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.