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Statistical Analysis of Truck Accidents for Divided Multilane Interurban Roads in Turkey

  • Transportation Engineering
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Abstract

Freight transportation is an important factor in Turkish economic growth, and the high volume of truck traffic has increased traffic accidents on Turkish roads. However, to the best of our knowledge, no studies have investigated the factors that contribute to truck accidents. This study aims to reduce truck accident involvement and quantify the effect of variables on the occurrence of truck accidents on divided multilane interurban roads in Turkey. This study documents the performance of Poisson, Negative Binomial (NB), and Zero-inflated Negative Binomial Regression (ZINB) models to establish the relation between truck accidents and traffic and geometric road characteristics on a 282 km section of the Ankara–Aksaray–Eregli divided multilane interurban road. Model coefficients were estimated by the maximum likelihood method, and deviance and the Akaike information criterion were considered as goodness of fit statistics. The Vuong test was used to determine the appropriateness of using the ZINB model rather than the NB model. The results show that the NB model fitted the data very well. The proposed model for Turkish divided multilane interurban roads with a high percentage of truck traffic might be useful to detect critical factors and reduce truck accident involvement.

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References

  • Abdel-Aty, M. A. and Radwan, A. E. (2000). “Modeling traffic accident occurrence and involvement.” Accident Analysis and Prevention, Vol. 32, No. 5, pp. 633–642, DOI: 10.1016/S0001-4575(99)00094-9.

    Article  Google Scholar 

  • Akaike, H. (1973). “Information theory and an extension of the maximum likelihood principle.” In Petrov, B. V. and Csaki, B. F. (Eds.), 2nd Int. Symp. on Inf. Theory, Academia Kiado: Budapest, pp. 267–281.

    Google Scholar 

  • Amarasingha, N. and Dissanayake, S. (2013). “Modeling frequency of truck crashes on limited–access highways.” Journal of Transportation Research Forum, Vol. 52, No. 3, pp. 123–139.

    Google Scholar 

  • Chang, I. and Kim, S. W. (2012). “Modelling for identifying accidentprone spots: Bayesian approach with a Possion mixture model.” KSCE Journal of Civil Engineering, KSCE, Vol. 16, No. 3, pp. 441–449, DOI: 10.1007/s12205-012-1513-9.

    Article  Google Scholar 

  • Cramer, J. S. (1986). Econometric applications of maximum likelihood methods, Cambridge University Press.

    Book  MATH  Google Scholar 

  • Eurostat (2012). (European Statistics). Road freight vehicle statisticslorries, road tractors and trailers; 2012. http://ec.europa.eu/eurostat/statistics-explained/index.php/Road_freight_-vehicle_statistics_-_ lorries,_road_tractors_and_trailers. Accessed Sep, 2, 2014.

  • GDTH (2014). (General Directorate of Turkish Highways). Strategic Plan 2012-2016. http://www.kgm.gov.tr/SiteCollectionDocuments/KGMdocuments/Kurumsal/-StratejikPlan/sp12_16.pdf. Accessed Jan. 15, 2015.

  • Hadayeghi, A. (2002). Accident prediction models for safety evaluation of urban safety transportation, MSc Thesis. Transportation Engineering Graduate Department of Civil Engineering, University of Toronto.

    Google Scholar 

  • Iragavarapu, V. (2007). Examining Potential Factors Affecting the Safety Performance and Design of Exclusive Truck Facilities. MSc Thesis. Civil Engineering, Texas A&M University. http://oaktrust.library.tamu.edu/bitstream/handle/1969.1/ETD-TAMU-2044/IRAGAVARAPU -THESIS.pdf. Accessed May. 22, 2015.

  • Joshua, S. and Garber, N. (1990). “Estimating truck accident rate and involvement using linear and Poisson regression models.” Transportation Planning and Technology, Vol. 15, No. 1, pp. 41–58.

    Article  Google Scholar 

  • Jovanis, P. P. and Chang, H. L. (1986). “Modeling the relationship of accidents to miles travelled.” Transportation Research Record, Vol. 1068, pp. 42–51.

    Google Scholar 

  • Khasnabis, S. and Reddy, T. R. (1983). “Systematic procedure for incorporating exposure factors in truck accident analysis.” Transportation Research Record, Vol. 910, pp. 36–43.

    Google Scholar 

  • Khasnabis, S. and Al-Assar, R. (1989). “Analysis of heavy truck accident data-Exposure based approach.” Journal of Transportation Engineering, Vol. 115, No. 3, pp. 298–304.

    Article  Google Scholar 

  • Kibar, F. T., Celik, F. and Aytac, B. P. (2013). “An accident prediction model for divided highways: A case study of Trabzon coastal divided highway.” Proc., 19th Int. Conf. on Urban Transport and the Environ., Kos, Greece, pp. 711–719.

    Chapter  Google Scholar 

  • Lambert, D. (1992). “Zero inflated Poisson regression, with an application to defects in manufacturing.” Technometrics, Vol. 34, No. 1, pp. 1–14.

    Article  MATH  Google Scholar 

  • Lawless, J. F. (1987). “Negative Binomial and mixed Poisson regression.” The Canadian Journal of Statistics, Vol. 15, No. 3, pp. 209–225.

    Article  MathSciNet  MATH  Google Scholar 

  • Lord, D. (2006). “Modeling motor vehicle crashes using Poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter.” Accident Analysis and Prevention, Vol. 38, pp. 751–766, DOI: 10.1016/j.aap.2006.02.001

    Article  Google Scholar 

  • McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman & Hall, London.

    Book  MATH  Google Scholar 

  • Miaou, S. P., Hu, P. S., Wright, T., Rathi, A. K., and Davis, S. C. (1992). “Relationship between truck accidents and geometric design: A Poisson regression approach.” Transportation Research Record, Vol. 1376, pp. 10–18.

    Google Scholar 

  • Miaou, S. P., Hu, P. S., Wright, T. Davis, S. C., and Rathi, A. K (1993). Development of relationship between truck accidents and geometric design: Phase I. U.S. department of Transportation, Federal Highway Administration, FHWA–RD–91–124.

    Google Scholar 

  • Miaou, S. P. (1994). “The relationship between truck accidents and geometric design of road sections: Poisson versus Negative Binomial regressions.” Accident Analysis and Prevention, Vol. 26, No. 4, pp. 471–482.

    Article  Google Scholar 

  • Milton, J. C. and Mannering, F. L. (1998). “The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies.” Transportation, Vol. 25, No. 4, pp. 395–413.

    Article  Google Scholar 

  • Park, S., Jang, K., Park, S. H., Kim, D., and Chan, K. S. (2012). “Analysis of injury severity in traffic crashes: A case study of Korean expressway.” KSCE Journal of Civil Engineering, KSCE, Vol. 16, No. 7, pp. 1280–1288. DOI: 10.1007/s12205-012-1527-3.

    Article  Google Scholar 

  • Ramírez, B. A, Izquierdo, F. A, Fernández, C. G., and Mendez, A. G. (2009). “The influence of heavy goods vehicle traffic on accidents on different types of Spanish interurban roads.” Accident Analysis and Prevention, Vol. 41, No. 1, pp. 15–24, DOI: 10.1016/j.aap.2008. 07.016.

    Article  Google Scholar 

  • Sharma, A. K. and Landge, V. S. (2013). “Zero inflated negative binomial for modeling heavy vehicle crash rate on Indian rural highway.” International Journal of Advances in Engineering and Technology, Vol. 5, No. 2, pp. 292–301.

    Google Scholar 

  • Thorpe, J. D. (1964). “Calculating relative involvement rates in accidents without determining exposure.” Australian Road Research, Vol. 4, No. 1, pp. 25–36.

    Google Scholar 

  • Turkstat (2014). (Turkish Statistical Institute). Road traffic accident statistics 2014. http://www.tuik.gov.tr/PreHaberBultenleri.do?id= 18760. Accessed Nov. 3, 2014.

  • Turkstat (2012). (Turkish Statistical Institute). Traffic accident statistics (road) 2012. http://kutuphane.tuik.gov.tr/pdf/0021861.pdf. Accessed Sep. 16, 2012.

  • Turkstat (2013). (Turkish Statistical Institute). Traffic accident statistics (road) 2013. http://kutuphane.tuik.gov.tr/veriler/yordambt/eyayin/0022137.pdf. Accessed May. 5, 2013.

  • Shankar, V., Milton, J., and Mannering, F. (1997). “Modeling accident frequencies as Zero-Altered Probability Processes: An empirical inquiry.” Accident Analysis and Prevention, Vol. 29, No. 6, pp. 829–837.

    Article  Google Scholar 

  • Van Petegem, J. W. H. and Wegman, F. (2014). “Analyzing road design risk factors for run-off-road crashes in the Netherlands with crash prediction models.” Journal of Safety Research, Vol. 49, pp. 121–127, DOI: 10.1016/j.jsr.2014.03.003

    Google Scholar 

  • Vuong, Q. (1989). “Likelihood ratio tests for model selection and nonnested hypotheses.” Econometrica, Vol. 57, No. 2, pp. 307–334.

    Article  MathSciNet  MATH  Google Scholar 

  • Wedderburn, R. W. M. (1974). “Quasi–likelihood functions, generalized liner models, and the Gauss–Newton method.” Biometrika, Vol. 61, No. 3, pp. 439–447.

    MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Civil Engineering Dept., Karadeniz Technical University, Trabzon, 61080, Turkey

    Funda Ture Kibar & Bengi P. Aytac

  2. Civil Engineering Dept., Avrasya University, Trabzon, 61080, Turkey

    Fazil Celik

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  1. Funda Ture Kibar
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  2. Fazil Celik
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  3. Bengi P. Aytac
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Correspondence to Funda Ture Kibar.

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Kibar, F.T., Celik, F. & Aytac, B.P. Statistical Analysis of Truck Accidents for Divided Multilane Interurban Roads in Turkey. KSCE J Civ Eng 22, 1927–1936 (2018). https://doi.org/10.1007/s12205-017-0050-y

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  • DOI: https://doi.org/10.1007/s12205-017-0050-y

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