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Cost estimation of road wear due to heavy vehicles on the Namibian paved network

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dc.contributor.author Kemp, Lana
dc.contributor.author Nordengen, Paul A
dc.contributor.author Steenkamp, Anton J
dc.contributor.author Ithana, T
dc.date.accessioned 2018-11-27T11:52:33Z
dc.date.available 2018-11-27T11:52:33Z
dc.date.issued 2018-10
dc.identifier.citation Kemp, L. et al. 2018. Cost estimation of road wear due to heavy vehicles on the Namibian paved network. 6th SARF / IRF / PIARC Regional Conference for Africa, 9-11 October 2018, Durban ICC, Durban, South Africa en_US
dc.identifier.uri http://www.sarf-irf2018.co.za/wp-content/uploads/2018/10/Draft-Programme-Outline-071018.pdf
dc.identifier.uri http://hdl.handle.net/10204/10538
dc.description Paper presented at the 6th SARF / IRF / PIARC Regional Conference for Africa, 9-11 October 2018, Durban ICC, Durban, South Africa en_US
dc.description.abstract This paper presents the results of a newly-developed methodology that quantifies the road wear caused by heavy vehicles on the Namibian paved road network in terms of equivalent standard axles and a monetary value. This was achieved by converting the spectrum of heavy vehicles travelling on the Namibian trunk road network per road section in one year to an equivalent number of standard axle-km travelled in the same year and multiplying the standard axle-km by the estimated unit construction and maintenance costs per uniform pavement section on the road network. The conversion of the spectrum of heavy vehicles to an equivalent number of standard axle-km travelled involved the calculation of load equivalency factors for the different vehicle configurations using the South African Mechanistic Empirical Design Method, which is based on data obtained from the Heavy Vehicle Simulator (HVS) and Stress-In-Motion (SIM) systems over the past few decades. Data obtained from the Namibia Roads Authority included traffic count data, weighbridge data, road network data and pavement data. This study has allowed for the development of a suitable platform to efficiently, and with improved accuracy, calculate the cost of road wear caused by heavy vehicles on the Namibian paved road network. The developed methodology will enable the Roads Authority to monitor changes in the road wear costs attributed to heavy vehicles. It also provides the Road Authority with a tool to determine the effect of initiatives such as improved overload control and for making more informed strategic decisions. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;21662
dc.subject Road wear en_US
dc.subject Heavy vehicles en_US
dc.subject Namibia en_US
dc.subject Cost estimation en_US
dc.title Cost estimation of road wear due to heavy vehicles on the Namibian paved network en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kemp, L., Nordengen, P. A., Steenkamp, A. J., & Ithana, T. (2018). Cost estimation of road wear due to heavy vehicles on the Namibian paved network. http://hdl.handle.net/10204/10538 en_ZA
dc.identifier.chicagocitation Kemp, Lana, Paul A Nordengen, Anton J Steenkamp, and T Ithana. "Cost estimation of road wear due to heavy vehicles on the Namibian paved network." (2018): http://hdl.handle.net/10204/10538 en_ZA
dc.identifier.vancouvercitation Kemp L, Nordengen PA, Steenkamp AJ, Ithana T, Cost estimation of road wear due to heavy vehicles on the Namibian paved network; 2018. http://hdl.handle.net/10204/10538 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kemp, Lana AU - Nordengen, Paul A AU - Steenkamp, Anton J AU - Ithana, T AB - This paper presents the results of a newly-developed methodology that quantifies the road wear caused by heavy vehicles on the Namibian paved road network in terms of equivalent standard axles and a monetary value. This was achieved by converting the spectrum of heavy vehicles travelling on the Namibian trunk road network per road section in one year to an equivalent number of standard axle-km travelled in the same year and multiplying the standard axle-km by the estimated unit construction and maintenance costs per uniform pavement section on the road network. The conversion of the spectrum of heavy vehicles to an equivalent number of standard axle-km travelled involved the calculation of load equivalency factors for the different vehicle configurations using the South African Mechanistic Empirical Design Method, which is based on data obtained from the Heavy Vehicle Simulator (HVS) and Stress-In-Motion (SIM) systems over the past few decades. Data obtained from the Namibia Roads Authority included traffic count data, weighbridge data, road network data and pavement data. This study has allowed for the development of a suitable platform to efficiently, and with improved accuracy, calculate the cost of road wear caused by heavy vehicles on the Namibian paved road network. The developed methodology will enable the Roads Authority to monitor changes in the road wear costs attributed to heavy vehicles. It also provides the Road Authority with a tool to determine the effect of initiatives such as improved overload control and for making more informed strategic decisions. DA - 2018-10 DB - ResearchSpace DP - CSIR KW - Road wear KW - Heavy vehicles KW - Namibia KW - Cost estimation LK - https://researchspace.csir.co.za PY - 2018 T1 - Cost estimation of road wear due to heavy vehicles on the Namibian paved network TI - Cost estimation of road wear due to heavy vehicles on the Namibian paved network UR - http://hdl.handle.net/10204/10538 ER - en_ZA


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