Pemodelan Jumlah Kematian di Jalan Raya Per Satu Juta Penduduk
DOI:
https://doi.org/10.22487/renstra.v3i2.426Keywords:
multivariate analysis, road fatalities per one million inhabitants, multiple linear regressionAbstract
This study aims to decide the factors that influence Road fatalities per one million inhabitants in member countries of the Organization for Economic Co-operation and Development (OECD). This research data uses a dataset covering 19 member countries of the Organization for Economic Co-operation and Development in 2010 – 2018. This research method uses multivariate analysis with multiple linear regression techniques using several indicators. Nine independent variables are used in this model, namely (X1) road passenger transport in passenger-km per one thousand units of current Gross Domestic Product (GDP) United States Dollar (USD), (X2) road freight transport in tonne-km per one thousand units of current Domestic Product (GDP) United States Dollar (USD), (X3) density of road (km per 100 sq. km), (X4) road transport infrastructure investment in constant United States Dollar (USD) per inhabitant, (X5) goods road motor vehicles per one thousand inhabitants, (X6) motorcycles per one thousand inhabitants, (X7) passenger cars per one thousand inhabitants, (X8) road motor vehicles per one thousand inhabitants, (X9) road traffic in thousand vehicle -km per road motor vehicle. One variable (Y) road fatalities per one million inhabitants, as the dependent variable. The results of the analysis showed that the independent variables had a partial significant effect on road fatalities. From the validation results obtained the value of R² the model is 60%, the F-statistic is 16.03 with a significance value of 0.0000 and the correlation value of the model is 0.66. The resulting multiple regression analysis model is: Y = 69.3071 - 0.0936.X1 + 0.1225X2 + 0.0020X3 - 0.0484X4 + 0.2070X5 + 0.3829X6 - 0.0364X7 -0.0354X8 + 0.0010X9
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References
World Health Organization, Global Status Report On Road Safety 2018: Summary, Geneva: World Health Organization, 2018.
E. Fumagalli, D. Bose, P. Marquez, L. Rocco, A. Mirelman, M. Suhrcke, and A. Irvin, The High Toll Of Traffic Injuries: Unacceptable and Preventable, Washington DC: World Bank, 2017.
OECD, OECD Factbook 2015-2016: Economic, Environmental and Social Statistics, Paris: OECD Publishing, 2016.
Ö.B. Güre and M. Kayri, “Investigation Of OECD Countries With Multi-Dimensional Scaling Analysis in Terms of Traffic Accident Indicators”, International Journal of Health Services Research and Policy, vol. 5, no. 1, p. 24, 2020.
Y. Shen, E. Hermans, T. Brijs, G. Wets, and K. Vanhoof, “Road Safety Risk Evaluation And Target Setting Using Data Envelopment Analysis And Its Extensions”, Accident Analysis & Prevention, vol. 48, p. 430, 2012.
A. Ali, M.R. Yaseen, and M.T.I Khan, “The Causality Of Road Traffic Fatalities With Its Determinants In Upper Middle Income Countries: A Continent-Wide Comparison”, Transportation Research Part A: Policy and Practice, vol. 119, p. 301, 2019.
M.R. Yaseen, Q. Ali, and M.T.I. Khan, “General Dependencies And Causality Analysis of Road Traffic Fatalities in OECD Countries”, Environmental Science and Pollution Research, vol. 25, no. 20, p. 19612, 2018.
T.H. Law, R.B. Noland, and A.W. Evans, “The Sources of The Kuznets Relationship Between Road Fatalities And Economic Growth”, Journal of Transport Geography, vol. 19, no. 2, p. 355, 2011.
F. Calvo-Poyo, J. Navarro-Moreno, and J. de Oña, “Road Investment and Traffic Safety: an International Study”, Sustainability, vol. 12, np. 16, p.1, 2020.
N.M. Muryatma, “Hubungan antara Faktor Keselamatan Berkendara dengan Perilaku Keselamatan Berkendara” Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education, vol. 5, no. 2, p. 15, 2018.
S.Y. Fraticasari, D.E. Ratnawati, and R.C. Wihandika, “Optimasi Pemodelan Regresi Linier Berganda Pada Prediksi Jumlah Kecelakaan Sepeda Motor Dengan Algoritme Genetika, “Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer”, vol. 2, no. 5, p. 1932, 2018.
P.U.A Gio and D.E. Irawan, Belajar Statistika dengan R, Sumatera: INA-Rxiv, 2018.
I.M. Yuliara, Modul Regresi Linier Berganda Jilid 13, Bali: Universitas Udayana, 2016.
M. Taqwa and A. Taufik, Statistika dengan R, Yogyakarta: Deepublish, 2019.
A.K. Amin, Statistika dengan Program Komputer, Yogyakarta: Deepublish, 2017
S.C.N. Palenewen, J.A. Timboeleng, and F. Jansen, “Pemodelan Matematis Kejadian Kecelakaan di Ruas Jalan A. A. Maramis Kota Manado”, Jurnal Ilmiah Media Engineering, vol. 4, no. 4, p. 257, 2014.
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