Refined-scale panel data crash rate analysis using random-effects tobit model

Accident Analysis and Prevention

Volumn 73, Issue , 2014, Pages 323-332

  Chen, Feng ^a   Ma, Xiaoxiang ^b   Chen, Suren ^b  

^a Tongji University   (China)

^b Department of Mechanical Engineering   (United States)

Author keywords

Crash rate; Daytime and nighttime; Disaggregate data model; Panel data; Random effects tobit; Refined scale data

Indexed keywords

CRASH RATE; DAYTIME AND NIGHTTIME; PANEL DATA; RANDOM-EFFECTS TOBIT; REFINED-SCALE DATA;

HUMAN; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; COLORADO; HUMANS; MODELS, STATISTICAL;

EID: 84907847985     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.09.025     Document Type: Article

References (48)

1. M. Abdel-Aty, N. Uddin, A. Pande, F. Abdalla, and L. Hsia Predicting freeway crashes from loop detector data by matched case-control logistic regression Transp. Res. Rec. 1897 2004 88 95 10.3141/1897-12
2. M. Abdel-Aty, and A. Radwan Modeling traffic accident occurrence and involvement Accid. Anal. Prev. 32 2000 633 642 10.1016/S0001-4575(99)94-9
3. M.A. Abdel-Aty, and R. Pemmanaboina Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data IEEE Trans. Intell. Transp. Syst. 7 2006 167 174 10.1109/TITS.2006.874710 2006
4. J. Aguero-Valverde Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: comparing the precision of crash frequency estimates Accid. Anal. Prev. 50 2013 289 297 10.1016/j.aap.2012.04.019
5. P.C. Anastasopoulos, and F.L. Mannering A note on modeling vehicle accident frequencies with random-parameters count models Accid. Anal. Prev. 41 2009 153 159 10.1016/j.aap.2008.10.005
6. P.C. Anastasopoulos, F.L. Mannering, V.N. Shankar, and J.E. Haddock A study of factors affecting highway accident rates using the random-parameters tobit model Accid. Anal. Prev. 45 2012 628 633 10.1016/j.aap.2011.09.015
7. P.C. Anastasopoulos, V.N. Shankar, J.E. Haddock, and F.L. Mannering A multivariate tobit analysis of highway accident-injury-severity rates Accid. Anal. Prev. 45 2012 110 119 10.1016/j.aap.2011.11.006
8. P.C. Anastasopoulos, A.P. Tarko, and F.L. Mannering Tobit analysis of vehicle accident rates on interstate highways Accid. Anal. Prev. 40 2008 768 775 10.1016/j.aap.2007.09.006
9. J. Bertness Rain-related impacts on selected transportation activities and utility services in the Chicago area J. Appl. Meteorol. 19 1980 545 556
10. C.R. Bhat Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences Transp. Res. Part B: Meth. 37 2003 837 855 10.1016/S0191-2615(02)90-5
11. J.D. Bullough, E.T. Donnell, and M.S. Rea To illuminate or not to illuminate: roadway lighting as it affects traffic safety at intersections Accid. Anal. Prev. 53 2013 65 77 10.1016/j.aap.2012.12.029
12. C. Caliendo, M.L. De Guglielmo, and M. Guida A crash-prediction model for road tunnels Acci. Anal. Prev. 55 2013 107 115 10.1016/j.aap.2013.02.024
13. G. Calzolari, L. Magazzini, and F. Mealli Simulation-based estimation of tobit model with random effects, econometric studies Festschrift Honour Joachim Frohn 2001 349
14. H.C. Chin, and M.A. Quddus Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections Accid. Anal. Prev. 35 2003 253 259 10.1016/S0001-4575(02)3-9
15. C. Dias, and M. Miska Relationship between congestion and traffic accidents on expressways: an investigation with Bayesian belief networks Proceedings of 40th Annual Meeting of Infrastructure Planning (JSCE) 2009
16. R.R. Dinu, and A. Veeraragavan Random parameter models for accident prediction on two-lane undivided highways in India J. Saf. Res. 42 2011 39 42 10.1016/j.jsr2010.11.007
17. E.T. Donnell, R.J. Porter, and V.N. Shankar A framework for estimating the safety effects of roadway lighting at intersections Saf. Sci. 48 2010 1436 1444 10.1016/j.ssci.2010.06.008 2010
18. D. Eisenberg The mixed effects of precipitation on traffic crashes Accid. Anal. Prev. 36 2004 637 647 10.1016/S0001-4575(03)85-X
19. W. Greene Econometric Analysis 6th ed. 2008 Prentice Hall
20. W. Greene Limdep, Version 10.0 2012 Econometric Software, Inc. Plainview, NY
21. J.H. Halton On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals Numerische Mathematik 2 1960 84 90 10.1007/BF01386213
22. M. Hossain, and Y. Muromachi Understanding crash mechanism on urban expressways using high-resolution traffic data Accid. Anal. Prev. 57 2013 17 29 10.1016/j.aap.2013.03.024
23. M. Hosseinpour, A.S. Yahaya, and A.F. Sadullah Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian Federal Roads Accid. Anal. Prev. 62 2014 209 222 10.1016/j.aap.2013.10.001
24. K. Keay, and I. Simmonds The association of rainfall and other weather variables with road traffic volume in Melbourne, Australia Accid. Anal. Prev. 37 2005 109 124 10.1016/j.aap.2004.07.005
25. Y. Lao, G. Zhang, Y. Wang, and J. Milton Generalized nonlinear models for rear-end crash risk analysis Accid. Anal. Prev. 62 2014 9 16 10.1016/j.aap.2013.09.004
26. D. Lord, and F. Mannering The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives Transp. Res. Part A: Policy Pract. 44 2010 291 305 10.1016/j.tra.2010.02.001
27. D. Lord, and B.N. Persaud Accident prediction models with and without trend: application of the generalized estimating equations procedure Transp. Res. Rec. 1717 2000 102 108 10.3141/1717-13
28. M. Parisi, and A. Sembenelli Is private R & D spending sensitive to its price? Empirical evidence on panel data for Italy Empirica 30 2003 357 377
29. X. Pei, S.C. Wong, and N.N. Sze The roles of exposure and speed in road safety analysis Accid. Anal. Prev. 48 2012 464 471 10.1016/j.aap.2012.03.005
30. Y. Qi, B.L. Smith, and J. Guo Freeway accident likelihood prediction using a panel data analysis approach J. Transp. Eng. 133 2007 149 156 10.1061/(ASCE)0733-947X(2007)133:3(149)
31. M.A. Quddus Time series count data models: an empirical application to traffic accidents Accid. Anal. Prev. 40 2008 1732 1741 10.1016/j.aap.2008.06.011
32. V. Shankar, R. Albin, J. Milton, and F. Mannering Evaluating median crossover likelihoods with clustered accident counts: an empirical inquiry using the random effects negative Binomial model Transp. Res. Rec. 1635 1998 44 48 10.3141/1635-06
33. V. Shankar, J. Milton, and F. Mannering Modeling accident frequencies as zero-altered probability processes: an empirical inquiry Accid. Anal. Prev. 29 1997 829 837 10.1016/S0001-4575(97)52-3
34. S. Sittikariya, and V. Shankar Critical modeling issues in transportation safety programming: comprehensive view from academia and practitioners J. Asian Transp. Soc. 1 2009 39 45
35. J. Tobin Estimation of relationships for limited dependent variables Econometrica 26 1958 24 26 10.2307/1907382
36. K. Train Halton sequences for mixed logit Working Paper 1999 University of California, Department of Economics Berkley
37. G. Ulfarsson, and V. Shankar Accident count model based on multiyear cross-sectional roadway data with serial correlation Transp. Res. Rec. 1840 2003 193 197 10.3141/184022
38. T. Usman, L. Fu, and L.F. Miranda-Moreno Quantifying safety benefit of winter road maintenance: accident frequency modeling Accid. Anal. Prev. 42 2010 1878 1887 10.1016/j.aap.2010.05.008
39. T. Usman, L. Fu, and L.F. Miranda-Moreno Accident prediction models for winter road safety Transp. Res. Rec. 2237 2011 144 151 10.3141/223716
40. T. Usman, L. Fu, and L.F. Miranda-Moreno A disaggregate model for quantifying the safety effects of winter road maintenance activities at an operational level Accid. Anal. Prev. 48 2012 368 378 10.1016/j.aap.2012.02.005
41. N. Venkataraman, V. Shankar, G.F. Ulfarsson, and D. Deptuch A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies Anal. Meth. Accid. Res. 2 2014 12 20 10.1016/j.amar.2014.01.001
42. N. Venkataraman, G.F. Ulfarsson, and V.N. Shankar Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type Accid. Anal. Prev. 59 2013 309 318 10.1016/j.aap.2013.06.021
43. X. Wang, and M. Abdel-Aty Temporal and spatial analyses of rear-end crashes at signalized intersections Accid. Anal. Prev. 38 2006 1137 1150 10.1016/j.aap.2006.04.022
44. S.P. Washington, M.G. Karlaftis, and F.L. Mannering Statistical and Econometric Methods for Transportation Data Analysis Second ed. 2010 CRC Press
45. C. Xu, W. Wang, and P. Liu Identifying crash-prone traffic conditions under different weather on freeways J. Saf. Res. 46 2013 135 144 10.1016/j.jsr2013.04.007
46. X. Xu, A. Kouhpanejade, and Ž. Šarić Analysis on influencing factors identification of crash rates using tobit model with endogenous variable PROMET - Traffic Trans. 25 2013 217 224 10.7307/ptt.v25i3.291
47. R. Yu, M. Abdel-Aty, and M. Ahmed Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors Accid. Anal. Prev. 50 2013 371 376 10.1016/j.aap.2012.05.011
48. R. Yu, M.A. Abdel-Aty, M.M. Ahmed, and X. Wang Crash-type propensity analysis with bayesian models using microscopic traffic and weather data Prsented at the 92nd Annual Meeting of the Transportation Research Board Washington, DC, USA 2013