Analysis of Fatal Accidents Involving Motorcycles in Low Income Region (Case Study of Karangasem Region, Bali-Indonesia)

Article Preview

Abstract:

Karangasem region is the lowest income region in Bali Province-Indonesia. The people are highly dependent on using motorcycle for their daily movement. Karangasem has a high fatality rate of traffic accidents. There are 190 cases of the traffic accident and causing the death of 140 people. The number of accidents involving motorcycles are 172 cases. The objective of this study is to investigate factors that influence fatal traffic accidents involving motorcycles. This study used traffic accident data over 6 years period from 2007-2012 and applied logistic regression. It was found that there are four variable significantly affect accident fatality at 95% confidence level, i.e. accident location, collision type, violation type, and age.

You might also be interested in these eBooks

Info:

Pages:

112-122

Citation:

Online since:

October 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] H.A.R.S. Lubis, Motorcycle growth and its impacts to urban transportation, Proceeding of the Eastern Asia Society for Transportation Studies, Vol. 7 (2009).

Google Scholar

[2] T.B. Joewono, B.Z. Lauw, and H. Hendy, Motorcycle in the West Java Province, Indonesia: Its growth and characteristics, Civil Engineering Dimension 15 (1) (2013) 61-70.

DOI: 10.9744/ced.15.1.61-70

Google Scholar

[3] Central Bureau of Statistics Bali, 2013, Bali Province in Figures, Denpasar-Bali.

Google Scholar

[4] W.H.O., Road traffic injuries publications and resources: Related resolutions. World Health Organization, Geneva, (2009).

Google Scholar

[5] E.M.S. Rodrigues, A. Villaveces, A. Sanhueza, and J.A.E. Cejudo, Trends in fatal motorcycle injuries in the Americas, 1998-2010, International Journal of Injury Control and Safety Promotion 21 (2) (2014) 170-180.

DOI: 10.1080/17457300.2013.792289

Google Scholar

[6] R.B. Naumann, A.M. Dellinger, E. Zaloshnja, B.A. Lawrence and T.R. Miller, Incidence and total lifetime costs of motor vehicle-related fatal and nonfatal injury by road user type, United States, 2005. Traffic Injury Prevention, 11(4) (2010).

DOI: 10.1080/15389588.2010.486429

Google Scholar

[7] D. Mohan, Analysis of road traffic fatality data for Asia. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 8 (2011).

Google Scholar

[8] J.R. Regidor and F.A. Uy, Characteristics of road crashes involving motorcycles in Metro Manila and other selected cities in the Philippines. Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 8 (2011).

Google Scholar

[9] P. Hongsranagon, T. Khompratya, S. Hongpukdee, P. Havanond, and N. Deelertyuenyong, Traffic risk behavior and perceptions of Thai motorcyclists: A case study, IATSS Research 35 (2011) 30–33.

DOI: 10.1016/j.iatssr.2011.03.001

Google Scholar

[10] M.M.A. Manan and A. Varhelyi, Motorcycle fatalities in Malaysia, IATSS Research 36 (2012) 30–39.

DOI: 10.1016/j.iatssr.2012.02.005

Google Scholar

[11] J. Park, H. Kwak, S. Kho and D. Kim, 2013. Comparison of injury severity by age group: A case of Korean expressways, Asian Transport Studies, 2(4) (2013) 325-334.

Google Scholar

[12] T.B. Joewono and H. Kubota, Exploring public perception of paratransit service using binomial logistic regression, Civil Engineering Dimension 9 (1) (2007) 1–8.

Google Scholar

[13] A.S. Al-Ghamdi, Using logistic regression to estimate the influence of accident factors on accident severity, Accident Analysis and Prevention, 34 (2002) 729-741.

DOI: 10.1016/s0001-4575(01)00073-2

Google Scholar

[14] M. Karacasu, B. Ergul and A.A. Yayuz, Estimating the cause of traffic accidents using logistic regression and discriminant analysis. International Journal of Injury Control and Safety Promotion, 21 (4) (2014) 305-312.

DOI: 10.1080/17457300.2013.815632

Google Scholar

[15] S.P. Washington, M.G. Karlaftis and F.L. Mannering, Statistical and econometric methods for transportation data analysis, Chapman & Hall, USA, (2003).

DOI: 10.1201/9780203497111

Google Scholar

[16] Police Resort of Karangasem Regency, Traffic accident data report, (2013).

Google Scholar