CLIMATE AND FESTIVAL EFFECTS ON PENANG ROAD ACCIDENTS

Authors

  • Noor Wahida Md Junus Mathematics Department, Sultan Idris Education University
  • Mohd Tahir Ismail School of Mathematical Sciences, Universiti Sains Malaysia
  • Zainudin Arsad School of Mathematical Sciences, Universiti Sains Malaysia

DOI:

https://doi.org/10.11113/jt.v78.8324

Keywords:

Road accidents influences, climate effect, festival effects, structural time series, stochastic behaviour

Abstract

Road accidents have become the fifth main cause of death in Malaysia in 2008 as reported by the Department of Statistics. The causes and trends should be investigated to prevent reoccurrence in the future. The purpose of this study is to identify the pattern of occurrence of road accidents and subsequently investigate the climate and festival effects on road accidents in Penang based on structural time series analysis. Structural time series analysis offers the possibility of discovering the stochastic behaviour of road accidents. The climate, festival, and intervention effects were incorporated in investigating their influences on the occurrence of road accidents. The study found that road accidents in Penang can be represented by a stochastic level with a fixed seasonal and were influenced by the climate and the intervention effects. The study should be enhanced by applying the model to another state with other relevant variables, such as economic factor and school holiday effect.

References

Radin Umar, R. S., G. M. Murray, and L.H. Brian. 1996. Modelling of Conspicuity- Related Motorcycle Accidents in Seremban and Shah Alam, Malaysia. Accident Analysis and Prevention. 28(3): 325–332.

Sarani, R., S. M. S. Allyana, M. Jamilah, and S.V. Wong. 2012. Predicting Malaysian Road Fatalities for Year 2020. Department Of Statistics, Kuala Lumpur.

Greibe, P. 2003. Accident Prediction Models for Urban Roads. Accident Analysis and Prevention. 35(2003): 273-285.

Harnen, S., S. V. Wong, and W. I. W. Hashim. 2006. Motorcycle Accident Prediction Model for Junctions on Urban Roads in Malaysia. Advances in Transportation Studies an International Journal. 8: 31-40

Abusini, S. 2013. The Effect of Road Characteristics on Motorcycle Accident in Batu East Java Indonesia. International Conference on Mathematical Sciences and Statistics, (ICSMS) 2013. Kuala Lumpur, Malaysia. 5-7 February 2013. 241–246.

Zlatoper, T. J. 1984. Regression Analysis of Time Series Data on Motor Vehicle Death in the United States. Journal of Transport Economics and Policy. 18(3): 263–273.

Ali, G.A. and C.S. Bakheit. 2011. Comparative Analysis and Prediction of Traffic Accidents in Sudan Using Artificial Neural Netwrok and Statistical Method. Proceedings of the 30th Southern African Transport Conference (SATC). Pretoria, South Africa. 11-14 July 2011. 202–214.

Desai, M. M., and A.K. Patel. 2011. Road Accidents Study Based On Regression Model: A Case Study of Ahmedabad City. National Conference On Recent Trends In Engeneering & Technology. Gujarat, India. 13-14 May 2011. 1–8.

Scott, P. P. 1986. Modelling Time Series of British Road Accidents Data. Accident Analysis and Prevention. 18(2):109–117.

Law, T.H., R.S. Radin Umar, S. Zulkaurnain, and S. Kulanthayan. 2005. Impact of the Effect of Economic Crisis and the Targeted Motorcycle Safety Programme on Motorcycle-Related Accidents, Injuries and Fatalities in Malaysia. International Journal of Injury Control and Safety Promotion. 12(1): 9–21

Wan Yaacob, W. F., W. Z. Wan Husin, N. Abd Aziz, and N.I. Nordin. 2011. An Intervention Model of Road Accidents: The Case of OPS Sikap. Journal of Applied Science. 11(7): 1105–1112.

Noland, R. B. 2003. Traffic Fatalities and Injuries: The Effect of Changes In Infrastructure and Other Trends. Accident Analysis and Prevention. 35 (4): 599–611.

[13] Brijs, T., D. Karlis, and D. Wets. 2008. Studying The Effect of Weather Conditions On Daily Crash Counts Using A Discrete Time-Series Model. Accident Analysis and Prevention. 40(3): 1180–90.

Wan Yaacob, W.F., M.A. Lazim, and Y.B. Wah. 2010. Evaluating Spatial and Temporal Effects of Accidents Likelihood using Random Effects Panel Count Model. International Conference on Science and Social Research (CSSR). Kuala Lumpur, Malaysia. 5 - 7 December 2010. 960–964.

Wan Yaacob, W.F., M.A. Lazim, and Y.B. Wah. 2011. Applying Fixed Effect Panel Count Model to Examine Road Accident Occurence. Journal of Applied Science. 11(7): 1185–1191.

Wan Yaacob, W. F., M.A. Lazim, and Y.B. Wah. 2012. Modeling Road Accidents using Fixed Effects Mode: Conditional versus Unconditional Model. Proceeding of the World Congress on Engineering (WCE). London, UK. 4-6 July 2012. 218-223

Harvey, A. C., and J. Durbin. 1986. The Effects of Seat Belt Legislation on British Road Casualties: A Case Study in Structural Time Series Modelling. Journal of Royal Statistical Society.149 (3): 187–227.

Durbin, J., and S.J. Koopman. 2012. Time Series Analysis by State Space Method. 2nd edition. London: Oxford University Press.

Koopman, S. J., A. C. Harvey, J. A. Doornik, and N. Shephard. 2009. Structural Time Series Analyser, Modeller and Predictor STAMP 8.2. London: Timberlake Consultants Ltd.

Commandeur, J. J. F., and S. J. Koopman. 2007. An Introduction to State Space Time Series Analysis. United State: Oxford University Press.

Abbas, K.A. 2004. Traffic Safety Assessment and Development of Predictive Models for Accidents On Rural Roads In Egypt. Accident Analysis and Prevention. 36(2004): 149–163.

Keay, K., and I. Simmonds. 2006. Road Accidents and Rainfall In a Large Australian City. Accident Analysis and Prevention. 38 (2006): 445–454.

Amin, M. S. R., A. Zareie, and L. E. Amador-Jiménez. 2014. Climate Change Modeling And The Weather-Related Road Accidents In Canada. Transportation Research Part D: Transport and Environment. 32(2014): 171–183.

SWOV. 2012. SWOV Fact Sheet- The Influence of Weather on Road Safety. Leidschendam, Netherlands. [Online]. From:http://www.swov.nl/rapport/Factsheets/UK/FS_Influence_of_weather.pdf. [Acessed on 7 April 2015].

Shuja, N., M. A. Lazim, and Y. B. Wah. 2007.Moving Holiday Effects Adjustment for Malaysian Economic Time Series. Journal of the Department of Statistics, Malaysia. 1(2007):36-50.

Md Junus, N. W., M. T. Ismail, and Z. Arsad. 2014. Road Accidents Model: Time Series Regression versus Structural Time Series. The 3rd International Conference on Computer Science and Computational Mathematics. Langkawi, Malaysia. 8-9 May 2014. 32–39.

Mohd Jawi, Z., M.H. Md Isa, R. Sarani, W.S. Voon, and M. A. F. Sadullah. 2009. Weather as a Road Safety Hazard in Malaysia - An Overview, MRev 03/2009, Kuala Lumpur: Malaysian Institute of Road Safety Research.

Downloads

Published

2016-04-18

How to Cite

CLIMATE AND FESTIVAL EFFECTS ON PENANG ROAD ACCIDENTS. (2016). Jurnal Teknologi (Sciences & Engineering), 78(4-4). https://doi.org/10.11113/jt.v78.8324