Concern related to crashes that involve large trucks has increased in Texas recently because of the potential economic impacts and level of injury severity that can be sustained. However, detailed studies on large truck crashes that highlight the contributing factors leading to injury severity have not been conducted in Texas, especially for its Interstate system. The contributing factors related to injury severity were analyzed with Texas crash data based on a discrete outcome-based model that accounts for possible unobserved heterogeneity related to human, vehicle, and road–environment factors. A random parameter logit (i.e., mixed logit) model was estimated to predict the likelihood of five standard injury severity scales commonly used in the Crash Records Information System in Texas: fatal, incapacitating, nonincapacitating, possible, and none (i.e., property damage only). Estimation results indicated that the level of injury severity outcomes was highly influenced by several complex interactions between factors and that the effects of some factors could vary across observations. The contributing factors include driver demographics, traffic flow, roadway geometric features, land use, time characteristics, weather, and lighting conditions.
ChenF., and ChenS.Injury Severities of Truck Drivers in Single- and Multi-Vehicle Accidents on Rural Highways. Accident Analysis and Prevention, Vol. 43, No. 5, 2011, pp. 1677–1688.
7.
Truck Driver Occupational Safety and Health: 2003 Conference Report and Selective Literature Review.Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Atlanta, Ga., 2007.
8.
Report to Congress on the Large Truck Crash Causation Study.Federal Motor Carrier Safety Administration, U.S. Department of Transportation, 2005.
9.
GeedipallyS. R., and LordD.Investigating the Effect of Modeling Single-Vehicle and Multi-Vehicle Accidents Separately on Confidence Intervals of Poisson–Gamma Models. Accident Analysis and Prevention, Vol. 42, No. 4, 2010, pp. 1273–1282.
10.
IslamM. B., and HernandezS.An Empirical Analysis of Fatality Rates for Large Truck Involved Crashes on Interstate Highways. In 3rd International Conference on Road Safety and Simulation, Indianapolis, Ind., Sept. 14–16, 2011.
11.
IslamM. B., and HernandezS.Large Truck–Involved Crashes: Exploratory Injury Severity Analysis. Journal of Transportation Engineering, Vol. 139, No. 6, 2013, pp. 596–604.
12.
ShankarV. N., ManneringF. L., and BarfieldW.Effect of Roadway Geometrics and Environmental Factors on Rural Accident Frequencies. Accident Analysis and Prevention, Vol. 27, No. 3, 1995, pp. 371–389.
13.
PochM., and ManneringF. L.Negative Binomial Analysis of Intersection Accident Frequencies, Journal of Transportation Engineering, Vol. 122, No. 2, 1996, pp. 105–113.
14.
Abdel-AtyM., and RadwanA. E.Modeling Traffic Accident Occurrence and Involvement. Accident Analysis and Prevention, Vol. 32, No. 5, 2000, pp. 633–642.
15.
SavolainenP. T., and TarkoA. P.Safety Impacts at Intersections on Curved Segments. In Transportation Research Record: Journal of the Transportation Research Board, No. 1908, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 130–140.
16.
ShankarV. N., MiltonJ., and ManneringF. L.Modeling Accident Frequencies as Zero-Altered Probability Processes: An Empirical Inquiry. Accident Analysis and Prevention, Vol. 29, No. 6, 1997, pp. 829–837.
17.
CarsonJ., and ManneringF. L.The Effect of Ice Warning Signs on Accident Frequencies and Severities. Accident Analysis and Prevention, Vol. 33, No. 1, 2001, pp. 99–109.
18.
LeeJ., and ManneringF. L.Impact of Roadside Features on the Frequency and Severity of Run-Off-Roadway Accidents: An Empirical Analysis. Accident Analysis and Prevention, Vol. 34, No. 2, 2002, pp. 149–161.
19.
ShankarV. N., AlbinR. B., MiltonJ. C., and ManneringF. L.Evaluating Median Crossover Likelihoods with Clustered Accident Counts: An Empirical Inquiry Using the Random Effects Negative Binomial Model. In Transportation Research Record 1635, TRB, National Research Council, Washington, D.C., 1998, pp. 44–48.
20.
ChinH. C., and QuddusM. A.Applying the Random Effect Negative Binomial Model to Examine Traffic Accident Occurrence at Signalized Intersections. Accident Analysis and Prevention, Vol. 35, No. 2, 2003, pp. 253–259.
21.
AnastasopoulosP. C., and ManneringF. L.A Note on Modeling Vehicle Accident Frequencies with Random-Parameters Count Models. Accident Analysis and Prevention, Vol. 41, No. 1, 2009, pp. 153–159.
22.
MalyshkinaN. V., and ManneringF. L.Markov Switching Multinomial Logit Model: An Application to Accident-Injury Severities. Accident Analysis and Prevention, Vol. 41, No. 4, 2009, pp. 829–838.
23.
ParkB. J., LordD., and HartJ. D.Bias Properties of Bayesian Statistics in Finite Mixture of Negative Binomial Regression Models in Crash Data Analysis. Accident Analysis and Prevention, Vol. 42, No. 2, 2010, pp. 741–749.
24.
PatilS., GeedipallyS. R., and LordD.Analysis of Crash Severities Using Nested Logit Model—Accounting for the Underreporting of Crashes. Accident Analysis and Prevention, Vol. 45, No. 1, 2012, pp. 646–653.
25.
GolobT., ReckerW., and LeonardJ.An Analysis of the Severity and Incident Duration of Truck-Involved Freeway Accidents. Accident Analysis and Prevention, Vol. 19, No. 5, 1987, pp. 375–396.
26.
IslamS., and ManneringF. L.Driver Aging and Its Effect on Male and Female Single-Vehicle Accident Injuries: Some Additional Evidence. Journal of Safety Research, Vol. 37, No. 3, 2006, pp. 267–276.
27.
KimJ.-K., UlfarssonG., ShankarV. N., and ManneringF. L.A Note on Modeling Pedestrian Injury Severity in Motor Vehicle Crashes with the Mixed Logit Model. Accident Analysis and Prevention, Vol. 42, No. 6, 2010, pp. 1751–1758.
28.
MooreD. N., SchneiderW., SavolainenP. T., and FarzanehM.Mixed Logit Analysis of Bicyclist Injury Severity Resulting from Motor Vehicle Crashes at Intersection and Non-Intersection Locations. Accident Analysis and Prevention, Vol. 43, No. 3, 2011, pp. 621–630.
29.
MalyshkinaN. V., and ManneringF. L.Empirical Assessment of the Impact of Highway Design Exceptions on the Frequency and Severity of Vehicle Accidents. Analysis, Accident Analysis and Prevention, Vol. 42, No. 1, 2010, pp. 131–139.
30.
ShankarV. N., and ManneringF. L.An Exploratory Multinomial Logit Analysis of Single-Vehicle Motorcycle Accident Severity. Journal of Safety Research, Vol. 27, No. 3, 1996, pp. 183–194.
31.
UlfarssonG., and ManneringF. L.Differences in Male and Female Injury Severities in Sport-Utility Vehicle, Minivan, Pickup and Passenger Car Accidents. Accident Analysis and Prevention, Vol. 36, No. 2, 2004, pp. 135–147.
32.
MiltonJ. C., ShankarV. N., and ManneringF. L.Highway Accident Severities and the Mixed Logit Model: An Exploratory Empirical Analysis. Accident Analysis and Prevention, Vol. 40, No. 1, 2008, pp. 260–266.
33.
AnastasopoulosP. C., and ManneringF. L.An Empirical Assessment of Fixed and Random Parameter Logit Models Using Crash- and Non-Crash-Specific Injury Data. Accident Analysis and Prevention, Vol. 43, No. 3, 2001, pp. 1140–1147.
34.
GkritzaK., and ManneringF. L.Mixed Logit Analysis of Seat-Belt Use in Single- and Multi-Occupant Vehicles. Accident Analysis and Prevention, Vol. 40, No. 2, 2008, pp. 443–451.
35.
SAS 9.2 for Windows.SAS Institute, Inc., Cary, N.C., 2009.
36.
ChistoforouZ., CohenS., and KarlaftisM. G.Vehicle Occupant Injury Severity on Highways: An Empirical Investigation. Accident Analysis and Prevention, Vol. 42, No. 6, 2010, pp. 1606–1620.
37.
LempJ. D., KockelmanK. M., and UnnikrishnanA., Analysis of Large Truck Crash Severity Using Heteroskedastic Ordered Probit Models. Accident Analysis and Prevention, Vol. 43, No. 1, 2011, pp. 370–380.
38.
ZhuX., and SrinivasanS.A Comprehensive Analysis of Factors Influencing the Injury Severity of Large Truck Crashes. Accident Analysis and Prevention, Vol. 43, No. 1, 2011, pp. 49–57.
39.
DuncanC. S., KhattakA. J., and CouncilF. M.Applying the Ordered Probit Model to Injury Severity in Truck–Passenger Car Rear-End Collisions. In Transportation Research Record 1635, TRB, National Research Council, Washington, D.C., 1998, pp. 63–71.
40.
XieY., ZhangY., and LiangF.Crash Injury Severity Analysis Using Bayesian Ordered Probit Models. Journal of Transportation Engineering, Vol. 135, No. 1, 2009, pp. 18–25.
41.
KhorashadiA., NiemeierD., ShankarV. N., and ManneringF. L.Differences in Rural and Urban Driver-Injury Severities in Accidents Involving Large Trucks: An Exploratory Analysis. Accident Analysis and Prevention, Vol. 37, No. 5, 2005, pp. 910–921.
42.
ChangL.-Y., and ManneringF. L.Analysis of Injury Severity and Vehicle Occupancy in Truck- and Non-Truck Involved Accidents. Accident Analysis and Prevention, Vol. 31, No. 5, 1999, pp. 579–592.
43.
MorganA., and ManneringF. L.The Effects of Road Surface Conditions, Age, and Gender on Driver Injury Severities. Accident Analysis and Prevention, Vol. 43, No. 5, 2011, pp. 1852–1863.
44.
ReveltD., and TrainK.Mixed Logit with Repeated Choices: Households' Choice of Appliance Efficiency Level. Review of Economics and Statistics, Vol. 80, No. 4, 1997, pp. 647–657.
45.
ReveltD., and TrainK.Customer Specific Taste Parameters and Mixed Logit. Working paper. Department of Economics, University of California, Berkeley, 1999.
46.
TrainK.Mixed Logit Models for Recreation Demand. In Valuing the Environment Using Recreation Demand Models (KlingC., and HerrigesJ., eds.). Elgar Press, New York, 1997.
47.
BrownstoneD., and TrainK.Forecasting New Product Penetration with Flexible Substitution Patterns. Journal of Econometrics, Vol. 89, No. 1-2, 1999, pp. 109–129.
48.
McFaddenD., and TrainK.Mixed MNL Models for Discrete Response. Journal of Applied Econometrics, Vol. 15, No. 5, 2000, pp. 447–470.
49.
BhatC.Quasi-Random Maximum Simulated Likelihood Estimation of the Mixed Multinomial Logit Model. Transportation Research Part B, Vol. 17, No. 1, 2001, pp. 677–693.
50.
TrainK.Discrete Choice Methods with Simulation.Cambridge University Press, New York, 2009.
51.
SavolainenP. T., ManneringF. L., LordD., QuddusM. A.The Statistical Analysis of Highway Crash-Injury Severities: A Review and Assessment of Methodological Alternatives. Accident Analysis and Prevention, Vol. 43, No. 5, 2011, pp. 1666–1676.
52.
JonesS., and HensherD.Evaluating the Behavioural Performance of Alternative Logit Models: An Application to Corporate Takeovers Research. Journal of Business Finance Accounting, Vol. 34, 2007, pp. 1193–1220.
WashingtonS., KarlaftisM., and ManneringF. L.Statistical and Econometric Methods for Transportation Data Analysis, 2nd ed. Chapman and Hall/CRC, Boca Raton, Fla., 2011.
55.
McFaddenD.Econometric Models of Probabilistic Choice. In A Structural Analysis of Discrete Data with Econometric Applications (ManskiC. F., and McFaddenD., eds.). MIT Press, Cambridge, Mass., 1981.
56.
McFaddenD., and RuudP.Estimation by Simulation. Review of Economics and Statistics, Vol. 76, No. 4, 1994, pp. 591–608.
57.
GewekeJ., KeaneM., and RunkleD.Alternative Computational Approaches to Inference in the Multinomial Probit Model. Review of Economics and Statistics, Vol. 76, No. 4, 1994, pp. 609–632.
58.
SternS.Simulation-Based Estimation. Journal of Economic Literature, Vol. 35, No. 4, 1997, pp. 2006–2039.
59.
TrainK.Discrete Choice Methods with Simulation.Cambridge University Press, Cambridge, United Kingdom, 2003.
60.
HaltonJ.On the Efficiency of Evaluating Certain Quasi-Random Sequences of Points in Evaluating Multi-Dimensional Integrals. Numerische Mathematik, Vol. 2, 1960, pp. 84–90.
61.
BhatC.Simulation Estimation of Mixed Discrete Choice Models Using Randomized and Scrambled Halton Sequences. Transportation Research Part B, Vol. 37, No. 1, 2003, pp. 837–855.
62.
TrainK.Halton Sequences for Mixed Logit. Working paper. Department of Economics, University of California, Berkeley, 1999.
63.
YeF., and LordD.Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit and Mixed Logit Models. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011.
64.
WalkerJ., and Ben-AkivaM.Generalized Random Utility Model. Mathematical Social Sciences, Vol. 43, No. 3, 2002, pp. 303–343.
65.
LeeL.On Efficiency of Method of Simulated Moments and Maximum Simulated Maximum Estimation of Discrete Response Models. Econometric Theory, Vol. 8, No. 3, 1992, pp. 518–552.
66.
AbdelwahabH. T., and Abdel-AtyM. A.Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1746, TRB, National Research Council, Washington, D.C., 2001, pp. 6–13.
67.
DriscollT., MarshS., McNoeB., LangleyJ., StoutN., FeyerA.-M., and WilliamsonA.Comparison of Fatalities from Work Related Motor Vehicle Traffic Incidents in Australia, New Zealand, and the United States. Journal of Injury Prevention, Vol. 11, No. 5, 2005, pp. 294–299.
68.
StamatiadisN., and DeaconJ. A.Trends in Highway Safety: Effects of an Aging Population on Accident Propensity. Accident Analysis and Prevention, Vol. 27, No. 4, 1995, pp. 443–459.
69.
KhattakA. J., PawlovichM. D., SouleyretteR. R., and HallmarkS. L.Factors Related to More Severe Older Driver Traffic Crash Injuries. Journal of Transportation Engineering, Vol. 128, No. 3, 2002, pp. 243–249.
70.
LennéM. G., TriggsT. J., and RedmanJ. R.Time of Day Variation in Driving Performance. Accident Analysis and Prevention, Vol. 29, No. 4, 1997, pp. 431–437.
71.
DohertyS. T., AndreyJ. C., and MacGregorC.The Situational Risks of Young Drivers: The Influence of Passengers, Time of Day and Day of Week on Accident Rates. Accident Analysis and Prevention, Vol. 30, No. 1, 1998, pp. 45–52.
72.
OtmaniS., RogéJ., and MuzetA.Sleepiness in Professional Drivers: Effect of Age and Time of Day. Accident Analysis and Prevention, Vol. 37, No. 5, 2005, pp. 930–937.
73.
BrownB., and BaassK.Seasonal Variation in Frequencies and Rates of Highway Accidents as Function of Severity. In Transportation Research Record 1581, TRB, National Research Council, Washington, D.C., 1997, pp. 59–65.
74.
EdwardsJ. B.The Relationship Between Road Accident Severity and Recorded Weather. Journal of Safety Research, Vol. 29, No. 4, 1998, pp. 249–262.
