Analysis of the Effects of Traffic Volume on the Pavement Condition in the Educational Zone of Merauke Regency

DOI

10.2991/icst-18.2018.86How to use a DOI?

Keywords

Traffic Volume; Road Class; Educational Zone; Pavement Conditions

Abstract

Among types of land use vital for the development of Merauke Regency is the land use intended to provide its population with education. Land use for educational purposes (the educational zone) in Merauke Regency, such as the one in Pendidikan Road, Kamizaun Road, and Ternate Road, constitutes important access toschools and universities in the region. As a result, there is a fairly high volume of vehicles every day due to public activities to meet their educational needs. As a result of an increasing number of vehicle movements, there is an increase in the traffic volume, which includes motorcycles, light vehicles, and heavy vehicles in particular roads. Road damage results from several factors, one of which is the traffic volume [1]. In the event of damage to the road taken, the word “easy” will certainly be interpreted otherwise. This is descriptive quantitative research. This research describesthe actual conditions of the research object using numbers.Based on the scores for the road condition index and traffic classes, it is revealed that the priority scores for Jl. Pendidikan, Jl. Kamizaun, and Jl. Ternate are 4 3, and 5, respectively. Based on those results,it is necessary to include Jl.Pendidikan and Jl.Ternate in the periodic maintenance program while Jl.Kamizaun needs to be included in the improvement program.Based on the whole data analysis undertaken, a model for the relationshipid179 between the traffic volume and the score for the pavement condition index was then examined. The analysis of the relationship model wasundertaken using the application Microsoft Excel. The variables used in the analysis were the score for the pavement condition index as the dependent variable and the traffic volume as the independent variable. Results of the analysis undertaken using regression generated a multiple R value of 0.4124, which means that the traffic volume does not exercise a significant effect on the score for the pavement condition index, the R square by 0.1701 means that the model’s goodness of fit is not really good.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dewi Sriastuti Nababan
AU  - Herbin Florensius Betaubun
AU  - Theresia Widi Asih Cahyanti
AU  - Budi Doloksaribu
AU  - Jeni Paresa
PY  - 2018/12
DA  - 2018/12
TI  - Analysis of the Effects of Traffic Volume on the Pavement Condition in the Educational Zone of Merauke Regency
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 411
EP  - 415
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.86
DO  - 10.2991/icst-18.2018.86
ID  - Nababan2018/12
ER  -