Large Truck–Involved Crashes: Exploratory Injury Severity Analysis

Islam, Mouyid Bin; Hernández, Salvador

doi:10.1061/(asce)te.1943-5436.0000539

Cited by 93 publications

(61 citation statements)

References 38 publications

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“…Compared with explosion, fire is a fixed parameter, which has shown the negative effect on the likelihood of severe-injury and evacuation accidents, and it would decrease the likelihood of minor, Weekdays are a fixed parameter that have a positive effect on the probability of severe-evacuation accidents, this could be ascribed that roadways carry higher volumes of traffic during weekdays. This finding is in line with the finding of Islam and Hernandez (2013a) and Uddin and Huynh (2017) [14,59].…”

Section: Accident Factorssupporting

confidence: 92%

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Xing

Chen

Zhu

et al. 2020

IJERPH

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With the increasing demand of hazardous material (Hazmat), traffic accidents occurred frequently during Hazmat transportation, which had caused widespread concern in communities. Therefore, a good understanding of Hazmat transportation accident characteristics and contributing factors is of practical importance. In this study, 1721 Hazmat accidents that have occurred during road transportation for the period 2014–2017 in China were examined, and a random-parameters ordered probit model was established to explore the influence of contributing factors on the severity of accidents by accounting for unobserved heterogeneity in the data. Both the injuries and the number of people evacuated were considered as the indicator of accident severity and investigated, respectively. Results show that higher injury severity is likely to be associated with type of Hazmat (compressed gas, explosive, and poison), misoperation, driver fatigue, speeding, tunnel, slope, county road, dry road surface, winter, dark, more than two vehicles, rear end crash, and explosion. As for the correlation between risk factors and the severity of evacuation, type of Hazmat (compressed gas, explosive, and poison), quantity of Hazmat (10–39 t), misoperation, county road, dry road surface, weekdays, dusk, explosion significantly contribute to increasing the severity of evacuation of Hazmat accidents.

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Section: Accident Factorssupporting

confidence: 92%

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Xing

Chen

Zhu

et al. 2020

IJERPH

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“…Several recent studies have focused on the multiple occupation-related factors of truck drivers, particularly those who are frequently involved in long-distance transport under the extremely stressful conditions, including commercial transport [1,3], license status [1,[3][4][5], continuous driving hours [6], shift patterns [7], rest-break duration [8], and overloading or improper loading [1,3,4], etc., which may directly or partially affect the probability of being involved in a crash. Additionally, truck drivers' risky driving behaviors, such as speeding [1,3,4,6,[9][10][11][12][13][14], failure to wear a seatbelt [1,3,4,15], following too closely [1,3,4,10,14], improper overtaking or lane changing [4,10,15,16], inattention [10,14], alcohol impaired driving [1,3,4,6,10,12,17], and fatigue driving [1,…”

Section: Introductionmentioning

confidence: 99%

“…In addition, besides driver attributes, there are a wealth of factors associated truck crashes, such as vehicle attributes, road geometry and environment conditions [1,[3][4][5][6][9][10][11][12][13][14][15][16]. Analysis of 10-year crash data collected between 1991 and 2000 from rural highways in Illinois (USA) showed that vehicle type and condition, roadway characteristics and conditions (e.g., sharp curve, steep grade, wet road surface, wide lane, wide/unprotected/painted median), environment conditions (e.g., fog/smoke/haze, severe cross wind, darkness light condition, rush hour, wet road surface) and accident characteristics had significant impact on the injury severities of truck drivers involved traffic accidents [13].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the logit-based and ordered probability regression models have often been applied to analyze the injury severity of truck-involved crashes [1,4,6,9,11,12,[14][15][16]19]. However, these approaches assume that the effect of each parameter remains constant across all observations, which indicates that these approaches cannot capture the potential correlation between truck crash severity outcomes and unobserved effects related to driver, vehicle, roadway, and environment conditions at the time of the crash.…”

Section: Introductionmentioning

confidence: 99%

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Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Wang

Luo

Chen

2019

Eur. Transp. Res. Rev.

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The occurrence and severity of truck crashes generally involve complex interactions among factors correlated to driver characteristics, vehicle attributes, roadway geometry and environment conditions. Thus, the elucidation of the significance of these potential contributory factors is critical when developing safety improvement countermeasures. To this end, data from a total of 1175 crashes involving at least one large truck and collected between 2010 and 2015 from two typical freeways in mountainous areas in Jiangxi and Shaanxi (China), were analyzed using a partial proportional odds model to determine the significant risk factors for injury severity of these crashes. Fourteen total explanatory variables, including the age of the driver, seatbelt status, number of vehicle involved, type of transport, freight conditions, brake system status, disregarding speed limit or not, following distance, horizontal roadway alignment, vertical roadway alignment, seasons, day of week, time of crash, and weather were found to significantly affect the severities of the truck crashes. In addition, old drivers, involvement of multiple vehicles, failure to wear seatbelts, overloading, speeding, brake failure and risky following behavior, curve section, seasons (summer, autumn and winter), nighttime period, and adverse weather conditions were also found to significantly increase the likelihood of injury and fatality crashes. Taken together, these findings may serve as a useful guide for developing legislation and technical countermeasures to ensure truck safety on freeways in mountainous regions, particularly in the context of a developing country.

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“…The ordinal nature of reporting crash injury severities makes ordered probit and logit models appropriate [51,69]. However, these model forms can restrict the way variables influence outcome probabilities, possibly leading to incorrect inferences [37,70].…”

Section: Methodsmentioning

confidence: 99%

Effects of Human-Centered Factors on Crash Injury Severities

Adanu

Jones

2017

Journal of Advanced Transportation

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Factors related to drivers and their driving habits dominate the causation of traffic crashes. An in-depth understanding of the human factors that influence risky driving could be of particular importance to facilitate the application of effective countermeasures. This paper sought to investigate effects of human-centered crash contributing factors on crash outcomes. To select the methodology that best accounts for unobserved heterogeneity between crash outcomes, latent class (LC) logit model and random parameters logit (RPL) model were developed. Model estimation results generally show that serious injury crashes were more likely to involve unemployed drivers, no seatbelt use, old drivers, fatigued driving, and drivers with no valid license. Comparison of model fit statistics shows that the LC logit model outperformed the RPL model, as an alternative to the traditional multinomial logit (MNL) model.

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Large Truck–Involved Crashes: Exploratory Injury Severity Analysis

Cited by 93 publications

References 38 publications

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Effects of Human-Centered Factors on Crash Injury Severities

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