Application of GIS to Traffic Accident Analysis: Case Study of Naypyitaw-Mandalay Expressway (Myanmar)

Authors

  • Kyaw Zin Htut School of Transportation Engineering, Institute of Engineering Suranaree University of Technology
  • Ei Ei Mon School of Transportation Engineering, Institute of Engineering Suranaree University of Technology
  • Leonard Johnstone School of Transportation Engineering, Institute of Engineering Suranaree University of Technology
  • Rattaphol Pueboobpaphan School of Transportation Engineering, Institute of Engineering Suranaree University of Technology
  • Vatanavongs Ratanavaraha School of Transportation Engineering, Institute of Engineering Suranaree University of Technology
  • Rajeshwar Goodary Civil and Environmental Engineering Department, Faculty of Engineering and Sustainable Development, University of Mascareignes
  • Roodheer Beeharry Civil and Environmental Engineering Department, Faculty of Engineering and Sustainable Development, University of Mascareignes

Keywords:

Traffic accident, GPS, GIS, Hazardous locations, Accident analysis, AADT

Abstract

Accident data collection and reporting system are very important in road safety management. A systematic accident data recording system is necessary to analyze and visualize hazardous locations. Road traffic accidents are recognized as one of the primary causes of social and economic losses, both in developed and developing countries. This study aims to identify the hazardous road locations on the Naypyitaw-Mandalay Expressway in Myanmar. In the current situation, there is a National Road Safety Strategy in Myanmar but it is partly funded and cannot be implemented successfully. Moreover accident data have been reported in documentary format by the highway polices. Traffic accidents data used in this study are collected from the Ministry of Construction and Highway Police Station in Naypyitaw. Hazardous locations on the expressway are identified by using accident rate and quality control methods and the results are presented by using GIS. This study will be useful for the responsible authorities to find out the hazardous locations on other roads with the use of accident analysis methods.

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References

Apparao, G., Mallikarjunareddy, P. & Raju, S. G. (2013). Identification of accident black spots for national highway using GIS. International Journal of Scientific and Technology Research, 2(2), 154-157.

Eck, J. E. & David, W. (1995). Crime places and crime theory. Crime and Place, 4, 1-33.

Erdogan, S., Yilmaz, I., Baybura, T. & Gullu, M. (2008). Geographical information systems aided traffic accident analysis system case study: City of afyonkarahisar. Accident Analysis and Prevention Journal, 40, 174-181.

Garber, N. J. & Hoel, L. A. (2015). Traffic and highway engineering (Vol. 5th Edition). United States of America.

Hirasawa, M. & Asano, M. (2003). Development of traffic accident analysis system using GIS. Proceedings of the Eastern Asia Society for Transportation Studies, 4, 1193-1199.

Iamtrakul, P. & Raungratanaamporn, I. (2015). Sustainable campus town development in suburban area of Bangkok, Thailand. International Journal of Building, Urban, Interior and Landscape Technology, 6, 39-52.

Jayan, K. D. & Ganeshkumar, B. (2010). Identification of accident hot spots: A GIS based inplementation for kannur district, Kerala. International Journal of Geomatics and Geosciences, 1(1), 51-59.

Kim, K. & Levine, N. (1996). Using GIS to improve highway safety. Computer environment and Urban Systems Journal, 20(4/5), 289-302.

Kowtanapanich, W. (2007). Black spot identification method in Thailand. Thai Academic Journal, 126-134.

Preston, H., Barry, M. & Stein, W. (2008). Traffic safety fundamental handbook. Minnesota Department of Transportation: Office of Traffic, Safety and Technology.

Ratanavaraha, V. & Amprayn, C. (2003). Causative highway accident factors of the expressway system in Thailand. Journal of the Eastern Asia Society for Transportation Studies, 5, 2422-2429.

Ratanavaraha, V. & Jomnonkwao, S. (2015). The efficiency testing of Shoulder Rumble Strips (SRS) on noise for alerting drivers in Thailand: A comparison among three types of SRS. Advance in Transportation Studies an International Journal, Section B36, 109-118.

Ratanavaraha, V. & Watthanaklang, D. (2013). Road safety audit: Identification of bus hazardous location in Thailand. Indian Journal of Science and Technology, 6(8), 5126-5133.

Saleh, S. (2014). Geographical Information System [GIS]- based analysis of road traffic accident blackspots in Federal Capital Territory [F.C.T]. Journal of Traffic and Logistics Engineering, 2(2), 108-112.

Transportation, O. D. O. (2014). Analysis procedure manual (Vol. Version 2). Salem, Oregon.

World Health Organization [WHO]. (2015a). Global status report on road safety 2015. Switzerland: WHO Press.

World Health Organization [WHO]. (2015b). Road safety in Myanmar. Retrieved from http://www.searo.who.int/myanmar/areas/roadsafety_datacollection/en/

Yakar, F. (2015). Identification of accident-prone road sections by using relative frequency method. Traffic and Transportation, 27(6), 539-547.

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Published

2016-10-31

How to Cite

Htut, K. Z., Mon, E. E., Johnstone, L., Pueboobpaphan, R., Ratanavaraha, V., Goodary, R., & Beeharry, R. (2016). Application of GIS to Traffic Accident Analysis: Case Study of Naypyitaw-Mandalay Expressway (Myanmar). International Journal of Building, Urban, Interior and Landscape Technology (BUILT), 7, 35–42. Retrieved from https://ph02.tci-thaijo.org/index.php/BUILT/article/view/169282

Issue

Vol. 7 (2016): BUILT 7. 2016, September-October

Section

Research Article

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