Risk factors associated with bus accident severity in the United States: a generalized ordered logit model.

INTRODUCTION Recent years have witnessed a growing interest in improving bus safety operations worldwide. While in the United States buses are considered relatively safe, the number of bus accidents is far from being negligible, triggering the introduction of the Motor-coach Enhanced Safety Act of 2011. METHOD The current study investigates the underlying risk factors of bus accident severity in the United States by estimating a generalized ordered logit model. Data for the analysis are retrieved from the General Estimates System (GES) database for the years 2005-2009. RESULTS Results show that accident severity increases: (i) for young bus drivers under the age of 25; (ii) for drivers beyond the age of 55, and most prominently for drivers over 65 years old; (iii) for female drivers; (iv) for very high (over 65 mph) and very low (under 20 mph) speed limits; (v) at intersections; (vi) because of inattentive and risky driving.

[1]  Babak Saedi,et al.  Urban Bus Drivers’ Sleep Problems and Crash Accidents , 2011, Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India.

[2]  H. White.  A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[3]  Dennis Hinebaugh,et al.  Analysis of Florida Transit Bus Crashes , 2002 .

[4]  Deo Chimba,et al.  Effect of bus size and operation to crash occurrences. , 2010, Accident; analysis and prevention.

[5]  A. Wåhlberg.  The stability of driver acceleration behavior, and a replication of its relation to bus accidents. , 2004 .

[6]  F Mannering,et al.  Analysis of injury severity and vehicle occupancy in truck- and non-truck-involved accidents. , 1999, Accident; analysis and prevention.

[7]  R Tay,et al.  Injury risks in collisions involving buses in Alberta , 2011 .

[8]  Demetrios Demetriades,et al.  Alcohol and illicit drugs in traumatic deaths: prevalence and association with type and severity of injuries. , 2004, Journal of the American College of Surgeons.

[9]  S Nakahara,et al.  Working conditions of bus drivers in the private sector and bus crashes in Kandy district, Sri Lanka: a case–control study , 2009, Injury Prevention.

[10]  P. J. Huber.  The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .

[11]  Richard Tay,et al.  Severity of urban transit bus crashes in Bangladesh , 2010 .

[12]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[13]  F. Mannering,et al.  Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis. , 2005, Accident; analysis and prevention.

[14]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[15]  M. Abdel-Aty,et al.  Analysis of left-turn crash injury severity by conflicting pattern using partial proportional odds models. , 2008, Accident; analysis and prevention.

[16]  Anders af Wåhlberg,et al.  If you can’t take the heat: Influences of temperature on bus accident rates , 2008 .

[17]  A. Wåhlberg.  Aggregation of driver celeration behavior data: Effects on stability and accident prediction , 2007 .

[18]  Anders af Wåhlberg,et al.  The relation of non-culpable traffic incidents to bus drivers' celeration behavior , 2008 .

[19]  Corinne Peek-Asa,et al.  Incidence and characteristics of school bus crashes and injuries. , 2009, Accident; analysis and prevention.

[20]  Asad J. Khattak,et al.  Understanding the Role of Truck-Driver, Occupational and High-Risk Roadway Factors in Truck-Involved Collisions , 2003 .

[21]  Gudmundur F. Ulfarsson,et al.  A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model. , 2010, Accident; analysis and prevention.

[22]  Richard Williams.  Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables , 2006 .

[23]  Anders af Wåhlberg,et al.  Long-term effects of training in economical driving: Fuel consumption, accidents, driver acceleration behavior and technical feedback , 2007 .

[24]  John C Bullas.  Accident analysis and prevention 37 (2005). , 2005, Accident; analysis and prevention.

[25]  T. Paus.  Mapping brain maturation and cognitive development during adolescence , 2005, Trends in Cognitive Sciences.

[26]  Daniel Blower,et al.  Type of Motor Carrier and Driver History in Fatal Bus Crashes , 2010 .

[27]  Xuedong Yan,et al.  Exploring precrash maneuvers using classification trees and random forests. , 2009, Accident; analysis and prevention.

[28]  Young-Jun Kweon,et al.  Driver injury severity: an application of ordered probit models. , 2002, Accident; analysis and prevention.

[29]  Simo Salminen,et al.  Occupational injuries of immigrant and Finnish bus drivers. , 2009, Journal of safety research.

[30]  R. Brant.  Assessing proportionality in the proportional odds model for ordinal logistic regression. , 1990, Biometrics.

[31]  A. Wåhlberg.  Characteristics of low speed accidents with buses in public transport. , 2002 .

[32]  Thomas L. Traynor.  The impact of driver alcohol use on crash severity: A crash specific analysis , 2005 .

[33]  R. McKelvey,et al.  A statistical model for the analysis of ordinal level dependent variables , 1975 .

[34]  J. S. Long,et al.  Regression Models for Categorical and Limited Dependent Variables , 1997 .

[35]  Lisa Dorn,et al.  Absence behavior as traffic crash predictor in bus drivers. , 2009, Journal of safety research.

[36]  Chao Wang,et al.  Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models , 2010 .

[37]  V. Fu.  Estimating generalized ordered logit models , 1999 .

[38]  Bhagwant Persaud,et al.  Analysis of Transit Safety at Signalized Intersections in Toronto, Ontario, Canada , 2009 .

[39]  Hsin-Li Chang,et al.  Factors affecting the safety performance of bus companies—The experience of Taiwan bus deregulation , 2005 .