SPATIAL AND TEMPORAL PATTERN OF ROAD ACCIDENTS AND CASUALTIES IN PENINSULAR MALAYSIA
DOI:
https://doi.org/10.11113/jt.v76.5843Keywords:
Traffic accident, GIS, trend, spatio-temporal variationAbstract
Road traffic accidents are often found to follow some spatial and temporal patterns as the factors that influence road accident changes with space and time. Knowledge on spatial and temporal variability of accident can be helpful for optimizing resources in order to improve traffic security management. The objective of the present study is to assess the spatial and temporal variation in the incidence of road traffic accidents and casualties across the states of peninsular Malaysia. Recent trends in number of accidents, casualties and fatalities are also accessed using non-parametric statistical method. The results show more accidents but lower fatalities in more urbanized and developed states, and lower accident levels but more serious fatalities in less urbanized or developed states of Peninsular Malaysia. Trend analysis reveals increasing number of accidents, but decreasing number casualties in recent years in most of the states of Peninsular Malaysia. The temporal analysis shows clear seasonal pattern in accident in some states of Malaysia. Most of the accidents are found to occur in festive month of Hari Raya Puasa festival followed by the month of mid-year school holiday. It is expected that the finding of the study will help in making recommendations in order to improve road safety and reduce road traffic accident in Malaysia.
References
Gao, D., X. Li, C. Yang, and Y. Zhang. 2012. Spatial Patterns Analysis of Urban Road Traffic Accidents based on GIS. Paper presented at the IET Conference Publications, 2012 (598 CP). 1898-1901.
World Bank. 1999. The World Bank Annual Report 1999. Washington DC: World Bank.
Komba, D. D. 2006. Risk Factors and Road Traffic Accidents in Tanzania: A Case Study of Kibaha District. Master Thesis, Department of Geography, Norwegian University of Science and Technology (NTNU), Trodheim.
Cutter, S. L. 1993. Living with Risks: Geography of Technological Hazards. Great Britain: Edward Arnold.
Aderamo, A. J. 2012. Spatial Pattern of Road Traffic Accident Casualties in Nigeria. Mediterranean Journal of Social Sciences. 3(2): 61-72.
Zhang, Y., J. Bigham, D. Ragland, and X. Chen. 2015. Investigating the Associations Between Road Network Structure and Non-Motorist Accidents. Journal of Transport Geography. 42: 34-47.
Mohan, V. R., R. Sarkar, V. J. Abraham, V. Balraj, and E. N. Naumova. 2015. Differential Patterns, Trends and Hotspots of Road Traffic Injuries on Different Road Networks in Vellore District, Southern India. Tropical Medicine and International Health. 20(3): 293-303.
De Andrade, L., J. R. N. Vissoci, C. G. Rodrigues, K. Finato, E. Carvalho, R. Pietrobon, and M. D. B. De Carvalho. 2014. Brazilian Road Traffic Fatalities: A Spatial and Environmental Analysis. PLoS ONE. 9(1).
Chaney, R. A., and C. Kim. 2014. Characterizing Bicycle Collisions by Neighborhood in a Large Midwestern City. Health Promotion Practice. 15(2): 232-242.
Carrick, G., I. Bejleri, and Y. Ouyang. 2014. Methodological Approach to Spatiotemporal Optimization of Rural Freeway Enforcement in Florida.
Nurulhuda, J., J. S. Ho, and M. H. Jamilah. 2013. A Survey of Risk of Accidents in Malaysia. 14th Road Engineering Association of Asia and Australasia (REAAA) Conference; 2013.
WHO. 2013. Global Status Report on Road Safety: Time for Action. Department of Violence & Injury Prevention & Disability (VIP), World Health Organization (WHO): Geneva.
Shahid, S., S. Nath, and J. Roy. 2000. Groundwater Potential Modelling in a Soft Rock Area using a GIS. International Journal of Remote Sensing. 2(9): 1919-1924.
Driss, M., K. Benabdeli, T. Saint-Gerand, and M. A. Hamadouche. 2015. Traffic Safety Prediction Model for Identifying Spatial Degrees of Exposure to the Risk of Road Accidents Based on Fuzzy Logic Approach. Geocarto International. 30(3): 243-257.
Yalcin, G., and H. S. Duzgun. 2015. Spatial Analysis of Two-Wheeled Vehicles Traffic Crashes: Osmaniye in Turkey. KSCE Journal of Civil Engineering.
Mann, H.B. 1945. Nonparametric Tests Against Trend. Economet. 13: 245-259.
Kendall, M.G. 1975. Rank Correlation Methods. Griffin, London.
Sen, P. K. 1968. Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association. 63:1379-1389.
Yue, S., P. Pilon, and G. Cavadias. 2002. Power of the Mann-Kendall and Spearman’s Rho Tests for Detecting Monotonic Trends in Hydrological Series. J. Hydrol. 259: 254-271.
MOT. 2009. Press Statement: Road Safety Education in Schools. Ministry of Transport, Malaysia, 9 September 2011.
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