SPATIO-TEMPORAL ANALYSIS OF ROAD ACCIDENT IN CHON BURI PROVINCE
The purposes of this research are to analyze the density and distribution patterns of seasonal accidents in 2012 to 2017. Kernel Density Estimation (KDE) and Average Nearest Neighbor techniques in Geographic Information System (GIS) are used to analyze of accident density and distribution pattern, respectively. The results reveal the rainy season has the highest density of road accidents following by winter and summer. Each season shows a high density of accidents in the same areas such as Sukhumvit Road, Viboonpracharak Road and roads in Pattaya City. The distribution pattern of road accidents is found the clustered pattern in all seasons. The results of this research can be used for planning to decrease accidents in densely populated areas and also used to determine long-term accident prevention policy.
Instituteof Physical Education Suphanburi. (2016). Cause of road accident. Retrieved July 15, 2017, from https://www.ipesp.ac.th/learning/supitcha/html/E4-2-1.html
Kaygisiz, O., Duzgun, S., Yildiz, A. & Senbil, M. (2015). Spatio-temporal accident analysis for accident prevention in relation to behavioral factors in driving: The case of south Anatolian Motorway. Transportation Research Part F. 33,
Liu, Y. (2013). Civil and Environment Engineering. Master of Science in Civil and Environment Engineering. Department of Civil and Environment Engineering. University of Maryland, Collage Park., United States.
Meteorological Department of Thailand. (2016). Meteorological Book. Retrieved December 22, 2016, from https://www.tmd.go.th/info/info.php?FileID=53
National Institute for Emergency Medicine. (2014). Open the risk of traffic accidents in Chonburi. Retrieved December 28, 2016 from https://thaiemsinfo.com/autopagev4/show_page.php?topic_id=467&auto_id=6&TopicP
Pleerux, N., Imsawas, K., Yongsiri, P. & Pholgerddee, P. (2016). Study of liquor stores distribution around higher education institutes using geoinformation echnology: A case study of Muang District, Chon Buri Province. Full
Road Accidents Data center. (2016). Data Traffic Accident Report. Retrieved December 24, 2016, from https://www.thairsc.com/
Sae-Ngow, P. & Chaysmithikul, P. (2015). Spatial Pattern of Manufacturing and Location Density of Agro-processing Industry in Ratchburi Province. Retrieved December 12, 2016, from https://www.teacher.ssru.ac.th/pornperm_sa/file.php/1/Spatial_Pattern_of_Manufacturing_and_Location_Density.pdf
Satria, R. & Castro, M. (2016). GIS Tools for analyzing accident and road design: A review. Transportation Research Procedia. 18, 242–247
Shafabakhsh, G.A., Famili, A., & Bahadori, M.S. (2017). GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran. Journal of Traffic and Transportation Engineering (English edition). 4(3), 290–299
World Health Organization. (2015). Global status report on road safety 2015. Bangkok: Scand-media Corp.,Ltd.
Xie, Z. & Yan, J. (2008). Kernel Density Estimation of traffic accidents in a network space. Computers, Environment, and Urban Systems. 35(5), 396–406
Yang, S., Lu, S. & Wu, Y, J. (2013). GIS-based Economic cost estimation of traffic accidents in St.Louis, Missouri. Procedia – Social and Behavioral Sciences 96. (2013), 2907–2915.
Yiampisan, M. & Srivanit, M. (2010). Using the Kernel Density Estimation surface for criminal pattern: A case study in Phranakhon district, Bangkok. Journal of Architectural/Planning Research and Studies. 7(1), 87-102