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Development of Traffic Accident Models in Seoul Considering Land Use Characteristics  

Lim, Samjin (Korea Railway Association)
Park, Juntae (Korea Railway Association)
Publication Information
Journal of the Society of Disaster Information / v.9, no.1, 2013 , pp. 30-49 More about this Journal
Abstract
In this research we developed a new traffic accident forecasting model on the basis of land use. A new traffic accident forecasting model by type was developed based on market segmentation and further introduction of variables that may reflect characteristics of various regions using Classification and Regression Tree Method. From the results of analysis, activities variables such as the registered population, commuters as well as road size, traffic accidents causing facilities being the subjects of activities were derived as variables explaining traffic accidents.
Keywords
land use; traffic accident; traffic safety; data mining(CART); regression model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 薺藤和夫(1979). "交通危險度評價方法と關係調査硏究の槪觀(I)". 交通工學. Vol.15. No.6. pp.50-51.
2 Lee. S. (2005). "Development of traffic accident prediction models considering variations of the ruture volume in urban areas". Journal of Korean Society of Transportation, Vol.23
3 Levine. (1983). "Spatial analysis of honolulu motor vehicle crashes : II zonal generators.". Accid. Anal. Prev. Vol. 27, No.5, pp.675-685.
4 Megan, W. (2009). "An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning." Accident Analysis and Prevention, Vol. 41.
5 Rumar, k. (1999). "Transport safety visions, targets and strategies : beyond 2000.". First European Transport Safety lecture, Brussels, European Transport Safety Council.
6 Smeed, R.J. (1949). "Some statistical aspects of safety research". Journal of Royal Statistical Society. Vol.C12. pp.6.
7 Adams, J.G. (1987). "Smee's law : some futher thoughts.". Traffic Engineering and Control. Vol.28, No.2, pp.70.
8 Demetriades, D., Murray, J., Martin, M., Velmahos, G., Salim, A., Alo, K., Rhee, P. (2004). "Pedestrians injured by automobiles: relationship of age to injury type and severity." Journal of the American College of Surgeons Vol. 199, No.3, pp.382-387.   DOI
9 Ewing, R. (2006). Fatal and Non-fatal Injuries. Understanding the Relationship Between Public Health and the Built Environment. A Report Prepared for the LEED-ND Core Committee. http://www.activeliving.org/files/LEED ND report.pdf
10 Gates, T.J., Hawkins, H.G., Ewart. R.T. (2004). Effectiveness of a Rear-Facing Flashing beacon in School Speed Limit Sign Assemblies. Presented at the TRB 83rd Annual Meeting.
11 Geoffrey Grime. (1987). Handbook of Road Safety Research. Butterworths
12 Gwon. K. (1993). A Development of Traffic Accident Prediction Model in Study. Master Thesis, Hongik university.
13 Hauer, E. (1997). Observational Before-After Studies on Road Safety. Pergamon.
14 Ivan, J.N., Wang, C., Bernardo, N.R. (2000). "Explaining two lane highway crash rates using land-use and hourly exposure.". Accid. Anal. Prev. Vol. 32, pp.787-795.   DOI
15 Kim. H. (1987). "Methoden zur beschreibung dar unfallgeschehens des - Versuch eines vergleichs zwischen der bundesrepublik deutschland und der republik Korea.". Journal of Korean Society of Transportation. pp.55-72.
16 Koornstra (1996). "The quantifying of road safety developments". Swedish National Road and Transport Research Institute. VTI KONFERENS. Vol.7(2).
17 Lee. S. (2010). A Study on Trip Generation Model Reflect Using Land. Master Thesis, Myungji university.