5. Al-ghamdi, A.S., 2002. Using logistic regression to estimate the influence of accident factors on accident severity. Accid. Anal. Prev. 34, 729–741.10.1016/S0001-4575(01)00073-2
6. Ambros, J., Sedoník, J., 2016. A Feasibility Study for Developing a Transferable Accident Prediction Model for Czech Regions. Transp. Res. Procedia 14, 2054–2063. doi:10.1016/J.TRPRO.2016.05.10310.1016/J.TRPRO.2016.05.103
10. Asgarzadeh, M., Verma, S., Mekary, R.A., Courtney, T.K., Christiani, D.C., 2017. The role of intersection and street design on severity of bicycle-motor vehicle crashes. Inj. Prev. 23 3, 179–185. doi:10.1136/injuryprev-2016-04204510.1136/injuryprev-2016-042045
12. Bhatia, R., Wier, M., Weintraub, J., Humphreys, E.H., Seto, E., 2009. An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning. Accid. Anal. Prev. doi:10.1016/j.aap.2008.10.00110.1016/j.aap.2008.10.001
14. Budzynski, M., Jamroz, K., Kustra, W., Gaca, S., Michalski, L., 2011. Instructions for road safety auditors – Part One Assessing the effects of road infrastructure projects on road safety, Part Two Road safety audit – for the GDDKiA. Gdansk University of Technology, Krakow University of Technology, Gdansk.
15. Budzynski, M., Jamroz, K., Kustra, W., Zukowska, J., 2015. Modeling of traffic safety indicators on Polish national road network, in: Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. pp. 23–30.10.1201/b19094-6
16. Budzynski, M., Kustra, W., Jamroz, K., Gaca, S., Michalski, L., Guminska, L., 2013. Method for forecasting road safety indicators for the purposes of economic effectiveness analyses for projects on Poland’s national roads – for the GDDKiA. Gdansk University of Technology, Krakow University of Technology, Gdansk.
17. Budzynski, M., Rys, D., Kustra, W., 2017. Selected Problems of Transport in Port Towns - Tri-City as an Example. Polish Marit. Res. 24 s1, 16–24. doi:10.1515/pomr-2017-001610.1515/pomr-2017-0016
18. Cafiso, S., Di Graziano, A., Di Silvestro, G., La Cava, G., Persaud, B., 2010. Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables. Accid. Anal. Prev. 42 4, 1072–9. doi:10.1016/j.aap.2009.12.01510.1016/j.aap.2009.12.015
19. Council, F.M., Harwood, D.W., Hauer, E., Hughes, W.E., Vogt, A., 2000. Prediction of the Expected Safety Performance of Rural Two-Lane Highways. Federal Highway Administration.
24. Fernandes, A., Neves, J., 2013a. An approach to accidents modeling based on compounds road environments. Accid. Anal. Prev. 53 2013, 39–45. doi:10.1016/j.aap.2012.12.04110.1016/j.aap.2012.12.04123376544
26. Garber, N.J., Lei, W., 2001. Stochastic Models Relating Crash Probabilities With Geometric And Corresponding Traffic Characteristics Data. University of Virginia, Charlottesville.
32. Hauer, E., 2001. Overdispersion in modelling accidents on road sections and in empirical bayes estimation. Accid. Anal. Prev. 33 6, 799–808.10.1016/S0001-4575(00)00094-4
35. Hewson, P., 2004. Deprived children or deprived neighbourhoods? A public health approach to the investigation of links between deprivation and injury risk with specific reference to child road safety in Devon County, UK. BMC Public Health 4, 15. doi:10.1186/1471-2458-4-1510.1186/1471-2458-4-1541935615134585
36. Ivan, J.N., Garder, P.E., Deng, Z., Zhang, C., 2006. The effect of segment characteristics on the severity of head-on crashes on two-lane rural highways. University of Connecticut, University of Maine.
37. Ivan, J.N., Lord, D., Washington, S.P., 2005. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. Accid. Anal. Prev. 37 1, 35–46. doi:10.1016/j.aap.2004.02.00410.1016/j.aap.2004.02.00415607273
38. Iyinam, A.F., Iyinam, S., Ergun, M., 1997. Analysis of Relationship Between HighwaySafety and Road Geometric Design Elements : Turkish Case. Technical University of Istanbul.
44. Kustra, W., Budzynski, M., Jamroz, K., Zukowska, J., 2015. Modelling of traffic safety indicators on Polish national road network, in: ESREL 2015 25th European Safety and Reliability Conference. Zurich, p. 7.10.1201/b19094-6
48. Lee, J., Mannering, F., 2002. Impact of roadside features on the frequency and severity of run-off-roadway accidents: an empirical analysis. Accid. Anal. Prev. 34 2, 149–61.10.1016/S0001-4575(01)00009-4
51. 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. Accid. Anal. Prev. 38 4, 751–66. doi:10.1016/j.aap.2006.02.00110.1016/j.aap.2006.02.001
52. Lord, D., Geedipally, S.R., 2012. Examining the Crash Variances Estimated by the Poisson-Gamma and Conway-Maxwell-Poisson Models. Transp. Res. Rec. J. Transp. Res. Board 2241 979, 56–67.10.3141/2241-07
53. Lord, D., Park, B., 2012. Negative Binomial Regression Models and Estimation Methods, in: Probability Density and Likelihood Functions. Texas A&M University, Korea Transport Institute, pp. 1–15.
54. Lord, D., Park, P.Y.-J., 2008. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates. Accid. Anal. Prev. 40 4, 1441–57. doi:10.1016/j.aap.2008.03.01410.1016/j.aap.2008.03.014
55. Ma, J., Kockelman, K.M., Damien, P., 2008a. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accid. Anal. Prev. 40 3, 964–75. doi:10.1016/j.aap.2007.11.00210.1016/j.aap.2007.11.002
56. Ma, J., Kockelman, K.M., Damien, P., 2008b. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accid. Anal. Prev. 40 3, 964–75. doi:10.1016/j.aap.2007.11.00210.1016/j.aap.2007.11.002
58. Martinelli, F., La Torre, F., Vadi, P., 2009. Calibration of the Highway Safety Manual’s Accident Prediction Model for Italian Secondary Road Network. Transp. Res. Rec. J. Transp. Res. Board 2103, 1–9. doi:10.3141/2103-0110.3141/2103-01
59. Peer, E., Rosenbloom, T., 2013. When two motivations race: The effects of time-saving bias and sensation-seeking on driving speed choices. Accid. Anal. Prev. 50, 1135–1139. doi:10.1016/J.AAP.2012.09.00210.1016/J.AAP.2012.09.00223021421
61. Rakha, H., Arafeh, M., Abdel-Salam, A.G., Guo, F., Flintsch, A.M., 2010. Linear regression crash prediction models: issues and proposed solutions, Virginia Tech Transportation Institute.
62. Reurings, M., Jannsen, T., Eenink, R., Elvik, R., Cardoso, J., Stefan, C., 2005. Accident Prediction Models and Road Safety Impact Assessment a state of the art, Ripcord. Ripcord - Iserest.
65. Scott-Parker, B., Watson, B., King, M., Hyde, M., 2012. Young, Inexperienced, and on the Road. Transp. Res. Rec. J. Transp. Res. Board. doi:10.3141/2318-1210.3141/2318-12
66. Son, H. “Daniel,” Kweon, Y.-J., Park, B. “Brian,” 2011. Development of crash prediction models with individual vehicular data. Transp. Res. Part C Emerg. Technol. 19 6, 1353–1363. doi:10.1016/j.trc.2011.03.00210.1016/j.trc.2011.03.002
75. Zhang, W., Huang, Y.-H., Roetting, M., Wang, Y., Wei, H., 2006. Driver’s views and behaviors about safety in China—What do they NOT know about driving? Accid. Anal. Prev. 38 1, 22–27. doi:10.1016/J.AAP.2005.06.01510.1016/J.AAP.2005.06.015