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A Development of Traffic Accident Models at 4-legged Signalized Intersections using Random Parameter : A Case of Busan Metropolitan City
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 Title & Authors
A Development of Traffic Accident Models at 4-legged Signalized Intersections using Random Parameter : A Case of Busan Metropolitan City
Park, Minho; Lee, Dongmin; Yoon, Chunjoo; Kim, Young Rok;
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PURPOSES : This study tries to develop the accident models of 4-legged signalized intersections in Busan Metropolitan city with random parameter in count model to understanding the factors mainly influencing on accident frequencies. METHODS : To develop the traffic accidents modeling, this study uses RP(random parameter) negative binomial model which enables to take account of heterogeneity in data. By using RP model, each intersection's specific geometry characteristics were considered. RESULTS : By comparing the both FP(fixed parameter) and RP modeling, it was confirmed the RP model has a little higher explanation power than the FP model. Out of 17 statistically significant variables, 4 variables including traffic volumes on minor roads, pedestrian crossing on major roads, and distance of pedestrian crossing on major/minor roads are derived as having random parameters. In addition, the marginal effect and elasticity of variables are analyzed to understand the variables'impact on the likelihood of accident occurrences. CONCLUSIONS : This study shows that the uses of RP is better fitted to the accident data since each observations'specific characteristics could be considered. Thus, the methods which could consider the heterogeneity of data is recommended to analyze the relationship between accidents and affecting factors(for example, traffic safety facilities or geometrics in signalized 4-legged intersections).
signalized intersection;accident model;random parameter;count model;heterogeneity;
 Cited by
Abdel-Aty, M., Radwan, E., 2000. Modeling Traffic Accident Occurrence and Involvement, Accident Analysis and Prevention, Vol. 32(5). 633-642. crossref(new window)

Bhat, C.,2003, Simulation estimation of mixed discrete choice models using randomized and scrambles Halton sequences, Transportation Research Part B, Vol.37(1), 837-855. crossref(new window)

Chin, H. C. and Quddus, M. A., 2003. Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections, Accident Analysis and Prevention, Vol. 35, 253-259. crossref(new window)

Engel, J., 1984. Models for Response Data Showing Extra-Poisson Variation, Statistica Neerlandica, Vol. 38(3), 159-167. crossref(new window)

Greene, W., 2007. Limdep, Version 9.0. Econometric Software Inc.,Plainview, NY.

Highway Safety Manual Knowledge Base, 2009, NCHRP 17-27.

Jovanis P.P. and Chang, H.L., 1986. Modeling the Relationship of accidents to miles traveled, Transportation Research Record:Journal of the Transportation Research Board, Vol. 1068, 42-51, Transportation Research Board, Washington D.C.

Lee, J., Mannering, F., 2002. Impact of roadside features on the frequency and severity of run-off-roadway accidents: an empirical analysis, Vol. 34, 149-161. crossref(new window)

Maher, M.., 1991. A New Bivariate Negative Binomial Model for Accident Frequencies, Traffic Engineering and Control, Vol. 32(9), 422-433.

Miaou, Shaw-Pin and Lum, H., 1993, Modeling vehicle accidents and highway at geometric design relationships, Accident Analysis and Prevention Vol. 25(6), 689-709. crossref(new window)

Miaou, S., 1994. The Relationship Between Truck Accidents and Geometric Design of Road Sections: Poisson Versus Negative Binomial Regressions, Accident Analysis and Prevention, Vol. 26(4), 471-482. crossref(new window)

Milton, J., Shankar, V. and Mannering, F., 2008, Highway accident severities and the mixed logit model: an exploratory empirical analysis."Accident Analysis and Prevention, Vol. 40(1), 260-266. crossref(new window)

Narayan Venkataraman, Gudmundur F. Ulfarsson, and Venky N. Shankar, 2013, Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type, Accident analysis and prevention, Vol. 59, 309-318. crossref(new window)

Narayan Venkataraman, Venky Shankar, Gudmundur F. Ulfarsson, and Damian Deptuch, 2014, A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies, Anlytic methods in accident research, Vol. 2, 12-20. crossref(new window)

N. S. Venkataraman, G. F. Ulfarsson, V. N. Shankar, J. Oh, and M. Park, 2011, Model of Relationship Between Interstate Crash Occurrence and Geometrics - Exploratory Insights from Random Parameter Negative Binomial Approach, Transportation Research Record: Journal of the Transportation Research Board, 2236, 41-48. crossref(new window)

Panagiotis Ch. Anastasopoulos and Fred L. Mannering, 2009, A note on modeling vehicle accident frequencies with randomparameters count models, Accident analysis and prevention, Vol. 41, 153-159. crossref(new window)

Park, M. H., 2013. Relationship between Interstate Highway Accidents and Heterogeneous Geometrics by Random Parameter Negative Binomial Model-A Case of Interstate Highway in Washington State, USA, Journal of the Korean Society of Civil Engineers, Vol. 33(6), 2437-2445. crossref(new window)

Park M. H., Noh, K. S, Kim, J.M., 2014, Relationship Between Accidents and Non-homogeneous Geometrics: Main Line Sections on Interstate", J. Korean Soc. Transp. Vol.32(2), 170-178. crossref(new window)

Sarath C. Joshua and Nicholas J. Garber., 1990, Estimating truck accident rate and involvements using linear and Poisson regression models, Transportation Planning and Technology, Vol. 15(1), 41-58. crossref(new window)

Shankar, V. N., Mannering, Fl., Barfield, W., 1995. Effect of Roadway Geometric and Environmental Factors on Rural Freeway Accident Frequencies, Accident Analysis and Prevention, Vol. 27(3). 371-379. crossref(new window)

Shankar, V., Mannering, F., and Barfield, W., 1995, Effect of Roadway Geometrics and Environmental Factors on Rural Freeway Accident Frequencies. Accident Analysis and Prevention. Vol.27(3), 371-389. crossref(new window)

Shankar, V. N., Albin, R.B., Milton, J.C., Mannering, F.L., 1998, Evaluation of median crossover likelihoods with clustered accident counts: an empirical inquiry using the random effect negative binomial model. Transport. Res. Record. 1635, 44-48. crossref(new window)

Stamatiadis, N., Hedges, A., and Kirk, A, 2015, A Simulation-based Approach in Determing Permitted Left-turn Capacities, Transportation Research Part C(online version).

Train, K., 1998. Recreation Demand models with taste differences over people, Land Economics, Vol.74(2), 230-239. crossref(new window)

Washington, S., M. Karlaftis, and F. Mannering., 2010, Statistical and Econometric methods for transportation data analysis. Chapman Hall/CRC, Boca Raton, Fla.