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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 489052, 8 pages
A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation,
Beijing Jiaotong University, Beijing 100044, China
Received 31 October 2013; Revised 3 January 2014; Accepted 5 January 2014; Published 4 March 2014
Academic Editor: Huimin Niu
Copyright © 2014 Lu Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- P. C. Anastasopoulos, A. P. Tarko, and F. L. Mannering, “Tobit analysis of vehicle accident rates on interstate highways,” Accident Analysis and Prevention, vol. 40, no. 2, pp. 768–775, 2008.
- D. Lord and F. L. Mannering, “The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives,” Transportation Research A, vol. 44, no. 5, pp. 291–305, 2010.
- A. Tarko and M. Tracz, “Accident prediction models for signalized crosswalks,” Safety Science, vol. 19, no. 2-3, pp. 109–118, 1995.
- S. P. Miaou, “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, 1994.
- D. Lord, S. P. Washington, and J. N. Ivan, “Poisson, poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory,” Accident Analysis and Prevention, vol. 37, no. 1, pp. 35–46, 2005.
- F. Holt and Ullevig, “2035 Regional transportation plan update, safety analysis-procedural overview,” Prepared for Denver Regional Council of Governments, 2008.
- J. Ma and K. M. Kockelman, “Bayesian multivariate poisson regression for models of injury count, by severity,” Transportation Research Record, vol. 1950, pp. 24–34, 2006.
- P. C. Anastasopoulos, V. N. Shankar, J. E. Haddock, and F. L. Mannering, “A multivariate tobit analysis of highway accident-injury-severity rates,” Accident Analysis and Prevention, vol. 45, pp. 110–119, 2012.
- Y.-C. Chiou and C. Fu, “Modeling crash frequency and severity using multinomial-generalized poisson model with error components,” Accident Analysis and Prevention, vol. 50, pp. 73–82, 2013.
- R. W. M. Wedderburn, “Quasi likelihood functions, generalized linear models, and the Gauss Newton method,” Biometrika, vol. 61, no. 3, pp. 439–447, 1974.
- P. McCullagh, “Quasi-likelihood functions,” Annals of Statistics, vol. 11, no. 1, pp. 59–67, 1983.
- T. A. Severini and J. G. Staniswalis, “Quasi-likelihood estimation in semiparametric models,” Journal of the American Statistical Association, vol. 89, no. 426, pp. 501–511, 1994.
- J. M. ver Hoef and P. L. Boveng, “Quasi-poisson versus negative binomial regression: how should we model overdispersed count data?” Ecology, vol. 88, no. 11, pp. 2766–2772, 2007.
- B. P. Y. Loo, “Validating crash locations for quantitative spatial analysis: a GIS-based approach,” Accident Analysis and Prevention, vol. 38, no. 5, pp. 879–886, 2006.
- T. Steenberghen, T. Dufays, I. Thomas, and B. Flahaut, “Intra-urban location and clustering of road accidents using GIS: a Belgian example,” International Journal of Geographical Information Science, vol. 18, no. 2, pp. 169–181, 2004.
- P. McCullagh and J. A. Nelder, Generalized Linear Models, Chapman and Hall, New York, NY, USA, 2nd edition, 1989.
- X. Yan, B. Wang, M. An, and C. Zhang, “Distinguishing between rural and urban road segment traffic safety based on zero-inflated negative binomial regression models,” Discrete Dynamics in Nature and Society, vol. 2012, Article ID 789140, 11 pages, 2012.
- R. P. Gonzalez, G. R. Cummings, H. A. Phelan, S. Harlin, M. Mulekar, and C. B. Rodning, “Increased rural vehicular mortality rates: roadways with higher speed limits or excessive vehicular speed?” The Journal of Trauma, vol. 63, no. 6, pp. 1360–1363, 2007.
- M. E. Rakauskas, N. J. Ward, and S. G. Gerberich, “Identification of differences between rural and urban safety cultures,” Accident Analysis and Prevention, vol. 41, no. 5, pp. 931–937, 2009.
- X. Zhu and S. Srinivasan, “A comprehensive analysis of factors influencing the injury severity of large-truck crashes,” Accident Analysis and Prevention, vol. 43, no. 1, pp. 49–57, 2011.