Road Traffic Fatalities Analysis in AEC Countries

Abstract:

Based on a Global Status Report on Road Safety in 2009 [ and in 2013 [, 2007 and 2010 Road Traffic Fatalities (RTFs) data for ASEAN Economic Community (AEC) countries were analyzed and compared, respectively. In this research, both reported and estimated RTFs per 100,000 populations showed relatively low correlation with Gross National Incomes (GNIs) per capita among AEC countries. In contrast, the reported and estimated RTFs per 1,000 vehicles showed reasonably high correlation with both GNIs per capita and number of vehicles per 1,000 populations. The greater the GNIs per capita and/or number of vehicles per 1,000 populations, the lower the reported and estimated RTFs per 1,000 vehicles are. As GNI per capita increases, the proportion of 4-wheeled motor vehicles will rise and the proportion of 2-and 3-wheeled motor vehicles will decline. Therefore, 2-and 3-wheeled motor vehicles were the main contributor to RTFs. The improvement of the adoption and enforcement of national road safety legislation can be generally realized. However, only high income countries (including Singapore and Brunei Darussalam) clearly showed the high performances and only these two countries has adopted and enforced the child-restraint law.

• Periodical: Advanced Materials Research (Volumes 931-932)
• Pages: 546-550
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.931-932.546
• Online since: May 2014
• Authors: Pongrid Klungboonkrong*, Natthapoj Faiboun
• Keywords: Fatalities per Population, Fatalities per Vehicles, Gross National Incomes (GNIs) per Capita, Road Traffic Fatalities, Vehicle Ownership, Vehicles per Population

References

[1] World Health Organization (WHO), Global Status Report on Road safety: Time for Action, (2009), Geneva, www. who. int/violence_injury_prevention/road_safety_status/(2009).

DOI: 10.1136/ip.2009.023697

[2] World Health Organization (WHO), Global Status Report on Road safety 2013: Supporting a Decade of Action, (2013), Geneva, http: /www. who. int/violence_ injury_prevention/road_safety_status/2013/en.

DOI: 10.1136/injuryprev-2013-040775

[3] C. Koren , A. Borsos, The advantage of late-comers: analysis of road fatality rates in the EU member states, Procedia-Social and Behavioral Science, 48 (2012), 2101-2110.

DOI: 10.1016/j.sbspro.2012.06.1183

[4] E. Kopits, M. Cropper, Traffic fatalities and economic growth, Accident Analysis & Prevention, 37 (2005), 169-178.

DOI: 10.1016/j.aap.2004.04.006

[5] C. Koren , A. Borsos, Is Smeed's law still valid? A world-wide analysis of the trend in fatality rates, Journal of Society for Transportation and Traffic Studies (JSTS), 1 (2010), 64-76.

[6] D. Mohan, Analysis of road traffic fatalities data for Asia, Journal of the Eastern Asia Society for Transportation Studies, 9 (2011), 1786-1794.

[7] G. Jacobs, A. Aeron-Thomas, A. Astrop, Estimating Global Road Fatality, Transport Research Laboratory (TRL) Report 445, (2000).