THE EFFECT OF TRAFFIC LOADS ON PAVEMENT DAMAGE ROAD SEGMENT: ROAD GOVERNOR SARKAWI CITY OF BANJARBARU
Abstract
Currently, population growth is increasing rapidly, and of course it will be directly proportional to the growth in transportation needs. At the same time, it is necessary to ensure that the infrastructure supporting the use of transportation is in good condition, otherwise the activities of transportation users will be destroyed. The purpose of this research is to get traffic volume on the Jalan Governor Sarkawi section, knowing the value of road damage on the Jalan Governor Sarkawi section, analyzing the effect of traffic volume on road damage on the Jalan Governor Sarkawi section, analyzing the effect of CESA on road damage on the Jalan Governor Sarkawi section. The method used in this study is the Bina Marga method using regression and correlation analysis, so as to obtain the relationship with the value of rand which shows the magnitude of the influence between the level of road damage with traffic volume and traffic load. This research was conducted in the Jl. Governor Sarkawi. There is a relationship between traffic volume and road damage, traffic volume relationship (pcu/hour) to road damage , standard load relationship (CESA) to damage. Where is the magnitude of the relationship between traffic volume and the value of road damage that affects the most, namely the value of rof 0.6436 with a value of 0.001 and an r-value of 0.7432 with a P-value of 0.007. While the relationship between LHR (pcu/hour) on road damage obtained an r value of 0.8787 and for CESA relationship to road damage an r value of 0.7263 was obtained. From this analysis, the results obtained if the relationship between the variables x and y to find the relationship between vehicle volume and the value of road damage, or the relationship between traffic load and the value of road damage, influence each other. Because the greater the correlation, the greater the influence of the x variable on the y variable.
Keywords : Road Damage Value, Traffic, Standard Load, Regression, CorrelationFull Text:
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DOI: https://doi.org/10.20527/crc.v6i7.13243
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