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AUTHOR(S): Uneb Gazder
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TITLE Determining Toll of Freight Transport Based on Pavement Damage Costs in Pakistan |
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ABSTRACT The effect of freight vehicles, on the requirement for the road maintenance is considerable. It is clearly necessary, for road maintenance purposes, to know the value of the actual axle loading since minor underestimation can shorten the expected/design life of a pavement. In this study, marginal pavement damage cost (MPDC) was estimated for National Highways of Pakistan. For model estimation, cost data were obtained from the MR&R strategies. Total traffic load (ESALs) was calculated using AADT and WIM data. Statistical model was estimated using OLS regression techniques. Lastly, a comparison is carried out between current road use toll and actual damage incurred by different truck classes to pavement for N-5. Marginal PDC was estimated to be Rs. 0.59/ ESAL km - (2016 fixed rupees) per share of the load in 2016. PDC as Rs. 0.475 / ESAL- km (2016 fixed rupees) (80% share of the load in the cost of damage to the pier) for the national highway system. It was revealed from the comparison of the current toll and the cost of actual damages, that it is appropriate to charge vehicles based on PDC. Moreover, rate of fines and tolls on the national highway system must be based on the damage (ESALs) resulting from each vehicle class. With the initiation of CPEC, it is expected that the local transport industry will not be able to cope with the challenge of increase in demand with the present fleet. Hence, it is essential to update and enforce the axle load management regulations in accordance with the international standards. Moreover, human resource and infrastructure development are also issues to be considered for fully utilizing the benefits of CPEC for the national economy. |
KEYWORDS pavement damage; Pakistan; freight transportation; highways; Pakistan |
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Cite this paper Uneb Gazder. (2025) Determining Toll of Freight Transport Based on Pavement Damage Costs in Pakistan. International Journal of Mathematical and Computational Methods, 10, 71-92 |
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