Unobserved heterogeneity and the statistical analysis of highway accident data

Analytic Methods in Accident Research

Volumn 11, Issue , 2016, Pages 1-16

  Mannering, Fred L ^a   Shankar, Venky ^b   Bhat, Chandra R ^c  

^a University of South Florida   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c The University of Texas at Austin   (United States)

Author keywords

Accident analysis; Accident likelihood; Accident severity; Highway safety; Statistical and econometric methods; Statistical methods; Unobserved heterogeneity

Indexed keywords

ENERGY DISSIPATION; HIGHWAY ENGINEERING; MOTOR TRANSPORTATION; STATISTICAL METHODS; STATISTICS;

ACCIDENT ANALYSIS; ACCIDENT LIKELIHOOD; ACCIDENT SEVERITY; HIGHWAY SAFETY; STATISTICAL AND ECONOMETRIC METHODS; UNOBSERVED HETEROGENEITY;

HIGHWAY ACCIDENTS;

EID: 84964907242     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2016.04.001     Document Type: Article

References (114)

1. K. Abay, R. Paleti, and C. Bhat The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity Transportation Research Part B 50 2013 74 89
2. J. Aguero-Valverde Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: Comparing the precision of crash frequency estimates Accident Analysis and Prevention 50 2013 289 297
3. J. Aguero-Valverde, and P. Jovanis Spatial analysis of fatal and injury crashes in Pennsylvania Accident Analysis and Prevention 38 3 2006 618 625
4. J. Aguero-Valverde, and P. Jovanis Analysis of road crash frequency with spatial models Transportation Research Record 2061 2008 55 63
5. J. Aguero-Valverde, and P. Jovanis Spatial correlation in multilevel crash frequency models: effects of different neighboring structures Transportation Research Record 2165 2010 21 32
6. M. Ahmed, H. Huang, M. Abdel-Aty, and B. Guevara Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway Accident Analysis and Prevention 43 4 2011 1581 1589
7. P. Anastasopoulos, and F. Mannering A note on modeling vehicle accident frequencies with random-parameters count models Accident Analysis and Prevention 41 1 2009 153 159
8. P. Anastasopoulos, and F. Mannering An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data Accident Analysis and Prevention 43 3 2011 1140 1147
9. P. Anastasopoulos, F. Mannering, V. Shankar, and J. Haddock A study of factors affecting highway accident rates using the random-parameters tobit model Accident Analysis and Prevention 45 1 2012 628 633
10. A. Aziz, S. Ukkusuri, and S. Hasan Exploring the determinants of pedestrian-vehicle crash severity in New York City Accident Analysis and Prevention 50 2013 1298 1309
11. S. Barua, K. El-Basyouny, and M. Islam Effects of spatial correlation in random parameters collision count-data models Analytic Methods in Accident Research 5-6 2015 28 42
12. S. Barua, K. El-Basyouny, and M. Islam Multivariate random parameters collision count data models with spatial heterogeneity Analytic Methods in Accident Research 9 2016 1 15
13. A. Behnood, and F. Mannering The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence Analytic Methods in Accident Research 8 2015 7 32
14. Behnood, A., Mannering, F., 2016. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models. Working Paper.
15. A. Behnood, A. Roshandeh, and F. Mannering Latent class analysis of the effects of age, gender and alcohol consumption on driver-injury severities Analytic Methods in Accident Research 3-4 2014 56 91
16. C. Bhat Covariance heterogeneity in nested logit models: econometric structure and application to intercity travel Transportation Research Part B 31 1 1997 11 21
17. C. Bhat Accommodating variations in responsiveness to level-of-service variables in travel model choice modeling Transportation Research Part A 32 7 1998 495 507
18. C. Bhat A multi-level cross-classified model for discrete response variables Transportation Research Part B 34 7 2000 567 582
19. C. Bhat Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model Transportation Research Part B 35 7 2001 677 693
20. C. Bhat, and H. Zhao The spatial analysis of activity stop generation Transportation Research Part B 36 6 2002 557 575
21. C. Bhat Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences Transportation Research Part B 37 1 2003 837 855
22. C. Bhat The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models Transportation Research Part B 45 7 2011 923 939
23. C. Bhat A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables Transportation Research Part B 79 2015 50 77
24. C. Bhat, and R. Sidharthan A simulation evaluation of the maximum approximate composite marginal likelihood (MACML) estimator for mixed multinomial probit models Transportation Research Part B 45 7 2011 940 953
25. C. Bhat, and S. Dubey A new estimation approach to integrate latent psychological constructs in choice modeling Transportation Research Part B 67 2014 68 85
26. C. Bhat, K. Born, R. Sidharthan, and P. Bhat A count data model with endogenous covariates: formulation and application to roadway crash frequency at intersections Analytic Methods in Accident Research 1 2014 53 71
27. C. Bhat, R. Paleti, and P. Singh A spatial multivariate count model for firm location decisions Journal of Regional Science 54 3 2014 462 502
28. P. Buddhavarapu, J. Scott, and J. Prozzi Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data Forthcoming in Transportation Research Part B 2016
29. J. Bullough, E. Donnell, and M. Rea To illuminate or not to illuminate: roadway lighting as it affects traffic safety Accident Analysis and Prevention 53 2013 65 77
30. A. Cameron, and P. Trivedi Econometric models based on count data: comparisons and applications of some estimators and tests Journal of Applied Econometrics 1 1 1986 29 53
31. M. Castro, R. Paleti, and C.R. Bhat A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections Transportation Research Part B 46 1 2012 253 272
32. M. Castro, R. Paleti, and C. Bhat A spatial generalized ordered response model to examine highway crash injury severity Accident Analysis and Prevention 52 2013 188 203
33. D. Cerwick, K. Gkritza, M. Shaheed, and Z. Hanz A comparison of the mixed logit and latent class methods for crash severity analysis Analytic Methods in Accident Research 3-1 2014 11 27
34. E. Chen, and A. Tarko Modeling safety of highway work zones with random parameters and random effects models Analytic Methods in Accident Research 1 2014 86 95
35. Y.-C. Chiou, L. Lan, and W.-P. Chen A two-stage mining framework to explore key risk conditions on one-vehicle crash severity Accident Analysis and Prevention 50 2013 405 415
36. E. Coruh, A. Bilgic, and A. Tortum Accident analysis with the random parameters negative binomial panel count data model Analytic Methods in Accident Research 7 2015 37 49
37. M. Deublein, M. Schubert, B. Adey, J. Kohler, and M. Faber Prediction of road accidents: a Bayesian hierarchical approach Accident Analysis and Prevention 51 2013 274 291
38. C. Dong, D. Clarke, X. Yan, A. Khattak, and B. Huang Multivariate random- parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersections Accident Analysis and Prevention 70 2014 320 329
39. K. El-Basyouny, and T. Sayed Accident prediction models with random corridor parameters Accident Analysis and Prevention 41 5 2009 1118 1123
40. N. Eluru, M. Bagheri, L. Miranda-Moreno, and L. Fu A latent class modeling approach for identifying vehicle driver injury severity factors at highway-railway crossings Accident Analysis and Prevention 47 2012 119 127
41. N. Eluru, and C. Bhat A joint econometric analysis of seat belt use and crash - related injury severity Accident Analysis and Prevention 39 5 2007 1037 1049
42. N. Eluru, C. Bhat, and D. Hensher A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes Accident Analysis and Prevention 40 3 2008 1033 1054
43. N. Eluru, R. Paleti, R. Pendyala, and C. Bhat Modeling injury severity of multiple occupants of vehicles: a copula-based multivariate approach Transportation Research Record 2165 2010 1 11
44. N. Eluru, and S. Yasmin A note on generalized ordered outcome models Analytic Methods in Accident Research 8 2015 1 6
45. B. Flahaut, M. Mouchart, E. San Martin, and I. Thomas The local spatial autocorrelation and the kernel method for identifying black zones: a comparative approach Accident Analysis and Prevention 35 6 2003 991 1004
46. M. Granowski, and H. Manner On factors related to car accidents on German Autobahn connectors Accident Analysis and Prevention 43 5 2011 1864 1871
47. W. Greene NLOGIT, Version 5 2012 Econometric Software Inc. Plainview, NY
48. W. Greene, and D. Hensher A latent class model for discrete choice analysis: contrasts with mixed logit Transportation Research Part B 37 8 2003 681 698
49. W. Greene, and D. Hensher Modeling Ordered Choices: A Primer 2010 Cambridge University Press Cambridge, UK
50. F. Guo, X. Wang, and M. Abdel-Aty Modeling signalized intersection safety with corridor spatial correlations Accident Analysis and Prevention 42 1 2010 84 92
51. J. Halton On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals Numerische Mathematik 2 1960 84 90
52. P. Jovanis, J. Aguero-Valverde, K. Wu, and V. Shankar Analysis of naturalistic driving event data: Omitted-variable bias and multilevel modeling approaches Transportation Research Record 2236 2011 49 57
53. D.-G. Kim, Y. Lee, S. Washington, and K. Choi Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models Accident Analysis and Prevention 39 1 2007 125 134
54. J.-K. Kim, G. Ulfarsson, S. Kim, and V. Shankar Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender Accident Analysis and Prevention 50 2013 1073 1081
55. J.-K. Kim, G. Ulfarsson, V. Shankar, and S. Kim Age and pedestrian injury severity in motor-vehicle crashes: a heteroskedastic logit analysis Accident Analysis and Prevention 40 5 2008 1695 1702
56. J.-K. Kim, G. Ulfarsson, V. Shankar, and F. Mannering A note on modeling pedestrian injury severity in motor vehicle crashes with the mixed logit model Accident Analysis and Prevention 42 6 2010 1073 1081
57. P. Lavieri, C. Bhat, R. Pendyala, and V. Garikapati Introducing latent psychological constructs in injury severity modeling: a multi-vehicle and multi-occupant approach, recommended for publication in Transportation Research Record Journal of the Transportation Research Board 2016
58. W. Li, A. Carriquiry, M. Pawlovich, and T. Welch The choice of statistical models in road safety countermeasure effectiveness studies in Iowa Accident Analysis and Prevention 40 4 2008 1531 1542
59. D. Lord, and F. Mannering The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives Transportation Research Part A 44 5 2010 291 305
60. Y. MacNab Bayesian spatial and ecological models for small-area crash and injury analysis Accident Analysis and Prevention 36 6 2004 1019 1028
61. N. Malyshkina, and F. Mannering Markov switching multinomial logit model: an application to accident-injury severities Accident Analysis and Prevention 41 4 2009 829 838
62. N. Malyshkina, and F. Mannering Zero-state Markov switching count-data models: an empirical assessment Accident Analysis and Prevention 42 1 2010 122 130
63. N. Malyshkina, and F. Mannering Empirical assessment of the impact of highway design exceptions on the frequency and severity of vehicle accidents Accident Analysis and Prevention 42 1 2010 131 139
64. N. Malyshkina, F. Mannering, and A. Tarko Markov switching negative binomial models: an application to vehicle accident frequencies Accident Analysis and Prevention 41 2 2009 217 226
65. H. Manner, and L. Wunsch-Ziegler Analyzing the severity of accidents on the German Autobahn Accident Analysis and Prevention 57 2013 40 48
66. F. Mannering Male/female driver characteristics and accident risk: some new evidence Accident Analysis and Prevention 25 1 1993 77 84
67. F. Mannering, and C. Bhat Analytic methods in accident research: methodological frontier and future directions Analytic Methods in Accident Research 1 2014 1 22
68. McFadden, D., 1981. Econometric models of probabilistic choice. In: Manski, D., McFadden (Eds.), A Structural Analysis of Discrete Data with Econometric Applications. The MIT Press, Cambridge, MA.
69. D. McFadden, and K. Train Mixed MNL models for discrete response Journal of Applied Economics 15 2000 447 470
70. S.-P. Miaou, R. Bligh, and D. Lord Developing median barrier installation guidelines: a benefit/cost analysis using Texas data Transportation Research Record 1904 2005 3 19
71. S.-P. Miaou, and D. Lord Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus Empirical Bayes Transportation Research Record 1840 2003 31 40
72. J. Milton, V. Shankar, and F. Mannering Highway accident severities and the mixed logit model: an exploratory empirical analysis Accident Analysis and Prevention 40 1 2008 260 266
73. S. Mitra, and S. Washington On the significance of omitted variables in intersection crash modeling Accident Analysis and Prevention 49 2012 439 448
74. M. Mohammadi, V. Samaranayake, and G. Bham Crash frequency modeling using negative binomial models: an application of generalized estimating equation to longitudinal data Analytic Methods in Accident Research 2 2014 52 69
75. D. Moore, W. Schneider, P. Savolainen, and M. Farzaneh Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations Accident Analysis and Prevention 43 3 2011 621 630
76. A. Morgan, and F. Mannering The effects of road-surface conditions, age, and gender on driver-injury severities Accident Analysis and Prevention 43 5 2011 1852 1863
77. S. Narayanamoorthy, R. Paleti, and C. Bhat On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level Transportation Research Part B 55 2013 245 264
78. R. Paleti, N. Eluru, and C. Bhat Examining the influence of aggressive driving behavior on driver injury severity in traffic crashes Accident Analysis and Prevention 42 6 2010 1839 1854
79. E.-U. Park, J. Park, and T. Lomax A fully Bayesian multivariate approach to before-after safety evaluation Accident Analysis and Prevention 42 4 2010 1118 1127
80. B.-J. Park, and D. Lord Application of finite mixture models for vehicle crash data analysis Accident Analysis and Prevention 41 4 2009 683 691
81. Y. Peng, and D. Lord Application of latent class growth model to longitudinal analysis of traffic crashes Transportation Research Record 2236 2011 102 109
82. B. Russo, P. Savolainen, W. Schneider, and P. Anastasopoulos Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model Analytic Methods in Accident Research 2 2014 21 29
83. P. Savolainen, F. Mannering, D. Lord, and M. Quddus The statistical analysis of crash-injury severities: a review and assessment of methodological alternatives Accident Analysis and Prevention 43 5 2011 1666 1676
84. M. Shaheed, and N. Gritza A latent class logit analysis of single-vehicle motorcycle crash severity outcomes Analytic Methods in Accident Research 2 2014 30 38
85. V. Shankar, J. Milton, and F. Mannering Modeling accident frequencies as zero-altered probability processes: An empirical inquiry Accident Analysis and Prevention 29 6 1997 829 837
86. V. Shankar, R. Albin, J. Milton, and F. Mannering Evaluating median cross-over likelihoods with clustered accident counts: An empirical inquiry using random effects negative binomial model Transportation Research Record 1635 1998 44 48
87. V. Shankar, P. Jovanis, J. Aguero-Valverde, and F. Gross Analysis of naturalistic driving data: prospective view on methodological paradigms Transportation Research Record 2061 2008 1 8
88. S. Sittikariya, and V. Shankar Modeling Heterogeneity: Traffic Accidents, 2009 VDM-Verlag Saarbrucken, Germany
89. K. Train Discrete Choice Methods with Simulation 2009 Cambridge University Press Cambridge, UK
90. S. Ukkusuri, S. Hasan, and H. Aziz Random parameter model used to explain effects of built-environment characteristics on pedestrian crash frequency Transportation Research Record 2237 2011 98 106
91. T. Usman, L. Fu, and L. Miranda-Moreno A disaggregate model for quantifying the safety effects of winter road maintenance activities at an operational level Accident Analysis and Prevention 48 2012 368 378
92. N. Venkataraman, G. Ulfarsson, V. Shankar, J. Oh, and M. Park Model of relationship between interstate crash occurrence and geometrics: Exploratory insights from random parameter negative binomial approach Transportation Research Record 2236 2011 41 48
93. N. Venkataraman, G. Ulfarsson, and V. Shankar Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type Accident Analysis and Prevention 59 2013 309 318
94. N. Venkataraman, V. Shankar, G. Ulfarsson, and D. Deptuch Modeling the effects of interchange configuration on heterogeneous influences of interstate geometrics on crash frequencies Analytic Methods in Accident Research 2 2014 12 20
95. X. Wang, and M. Abdel-Aty Temporal and spatial analyses of rear-end crashes at signalized intersections Accident Analysis and Prevention 38 6 2006 1137 1150
96. S. Washington, M. Karlaftis, and F. Mannering Statistical and Econometric Methods for Transportation Data Analysis Second edition 2011 Chapman and Hall/CRC Boca Raton, FL
97. World Health Organization, 2015. Global Status Report on Road Safety 2015. Geneva, Switzerland
98. Z. Wu, A. Sharma, F. Mannering, and S. Wang Safety impacts of signal-warning flashers and speed control at high-speed signalized intersections Accident Analysis and Prevention 54 2013 90 98
99. K. Xie, X. Wang, K. Ozbay, and H. Yang Crash frequency modeling for signalized intersections in a high-density urban road network Analytic Methods in Accident Research 2 2014 39 51
100. Y. Xie, K. Zhao, and N. Huynh Analysis of driver injury severity in rural single-vehicle crashes Accident Analysis and Prevention 47 2012 36 44
101. Y. Xiong, and F. Mannering The heteroscedastic effects of guardian supervision on adolescent driver-injury severities: A finite mixture-random parameters approach Transportation Research Part B 49 2013 39 54
102. Y. Xiong, J. Tobias, and F. Mannering The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity Transportation Research Part B 67 2014 109 128
103. S. Yasmin, and N. Eluru Evaluating alternate discrete outcome frameworks for modeling crash injury severity Accident Analysis and Prevention 59 2013 506 521
104. S. Yasmin., N. Eluru, and S. Ukkusuri Alternative ordered response frameworks for examining pedestrian injury severity in New York City Journal of Transportation Safety and Security 6 4 2013 275 300
105. S. Yasmin, N. Eluru, C. Bhat, and R. Tay A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity Analytic Methods in Accident Research 1 2014 23 38
106. S. Yasmin, N. Eluru, and A. Pinjari Analyzing the continuum of fatal crashes: a generalized ordered approach Analytic Methods in Accident Research 7 2015 1 15
107. S. Yasmin, N. Eluru, A. Pinjari, and R. Tay Examining driver injury severity in two vehicle crashes - a Copula based approach Accident Analysis and Prevention 66 2014 120 135
108. F. Ye, and D. Lord Investigation of effects of underreporting crash data on three commonly used traffic crash severity models: multinomial logit, ordered probit, and mixed logit Transportation Research Record 2241 2011 51 58
109. F. Ye, and D. Lord Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit, and mixed logit Analytic Methods in Accident Research 1 2014 72 85
110. R. Yu, and M. Abdel-Aty Multi-level Bayesian analysis for single- and multi-vehicle freeway crashes Accident Analysis and Prevention 58 2013 97 105
111. 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 Accident Analysis and Prevention 50 2013 371 376 1051
112. C. Zoi, S. Cohen, and M. Karlaftis Vehicle occupant injury severity on highways: an empirical investigation Accident Analysis and Prevention 42 6 2010 1606 1620
113. Y. Zou, Y. Zhang, and D. Lord Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis Accident Analysis and Prevention 50 2013 1042 1051
114. Y. Zou, Y. Zhang, and D. Lord Analyzing different functional forms of the varying weight parameter for finite mixture of negative binomial regression models Analytic Methods in Accident Research 1 2014 39 52