A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving

Islam, Mouyid Bin; Mannering, Fred

doi:10.1016/j.amar.2020.100128

Cited by 144 publications

(52 citation statements)

References 67 publications

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“…Davis et al ( 48 ) noted that the relative risk of serious and fatal roadway departure crashes increases with the increase in speed. This is consistent with the findings of Islam and Mannering ( 49 ). It may be noted that a disproportionate number of these crashes in which the speed was reported as “unsafe for conditions” occurred in winter months.…”

Section: Resultssupporting

confidence: 93%

Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity

Islam

Pande

2020

Transportation Research Record: Journal of the Transportation R

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Roadway departure crashes are one of the core emphasis areas in Strategic Highway Safety Plans (SHSP). These crashes, especially on rural roads, lead to a disproportionately higher number of fatalities and serious injuries. The focus of this study is to identify and quantify the factors affecting injury-severity outcomes for single-vehicle roadway departure (SV-RwD) crashes on rural curved segments in Minnesota. The crash data are extracted from the Highway Safety Information System (HSIS) from 2010 to 2014. This study applied a mixed logit with heterogeneity in means and variances approach to model driver-injury severity. The approach accounts for possible unobserved heterogeneity in the data resulting from driver, roadway, traffic, environmental conditions, or any combination of these attributes. This analysis adds value to the growing body of literature because it uncovers some unobserved heterogeneity in the form the attributes specific to driver-injury severities in contrast to the standard mixed logit approach. The model results indicate that there is a complex interaction of driver characteristics and actions (male drivers, aged below 30 years of age, and unsafe speed), roadway and traffic characteristics (two-lane undivided road, county roadways, and low traffic volume), environmental conditions (adverse weather, cloudy weather, dark conditions, and dry surface conditions), and vehicle characteristics (vehicle type—sport utility vehicle involved in rollover crashes). The results also provide some evidence of the effectiveness of a highway curve safety improvement program implemented in one of the Minnesota Department of Transportation (DOT) districts.

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Section: Resultssupporting

confidence: 93%

Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity

Islam

Pande

2020

Transportation Research Record: Journal of the Transportation R

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“…Aggressive driving was found to be significantly associated with severe injury outcome regardless of the manner and location of the crash. This finding is also consistent with previous studies that have also found a strong correlation between aggressive driving and severe injury crash outcome (Chliaoutakis et al, 2002;Dahlen, Edwards, Tubr e, Zyphur, & Warren, 2012;Islam & Mannering, 2020;Paleti, Eluru, & Bhat, 2010). While failure to use seatbelt may not directly lead to crash occurrence, it certainly affects the severity of the crash outcome (Abdel-Aty, 2003;Chen & Chen, 2011;Kim et al, 2013) and also reveal risk-taking behavior of drivers.…”

Section: Discussionsupporting

confidence: 92%

A comprehensive analysis of factors that influence interstate highway crash severity in Alabama

Adanu

Agyemang

Islam

et al. 2021

Journal of Transportation Safety & Security

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This paper identifies factors that influence the severity of interstate crash outcomes and how they vary depending on the location and manner of collision. Four separate injury severity models were developed to explore the differences and similarities in crash factors between single-and multi-vehicle crashes that occurred in rural and urban areas of the state. Random parameters multinomial logit with heterogeneity in means and variances modeling approach was used to account for unobserved heterogeneity in the crash data. The model estimation results show that some driver behavioral factors such as speeding, aggressive driving, failure to use seatbelt, and driving without a valid license were found to significantly contribute to some form of injury outcome. The influence of roadway features such as type of opposing lane separation, collision type, temporal and lighting conditions on crash outcomes were also explored. Some differences and similarities in the associations between these factors and crash injury severity based on the manner and location of crash were unraveled. These findings are expected to guide the implementation of crash countermeasures on interstates. The findings of this study further support the evidence for the analysis of subsets of crash data to unravel underlying complex relationships within factors that influence crash injury severity.

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“…Similarly, although failure to use seatbelt does not in itself cause crashes, it increases the probability of being injured in a crash ( Evans, 1996 , Abdel-Aty, 2003 , Wang and Jiang, 2003 , Kim et al, 2013 , Adanu and Jones, 2017 ). Nonetheless, many studies have found a strong correlation between serious injury crash outcomes and risky behaviors such as DUI (e.g., Tavris et al, 2001 , Abdel-Aty, 2003 , Dabbour, 2017 ), aggressive driving ( Paleti et al, 2010 , Dahlen et al, 2012 , Islam and Mannering, 2020 ), and driving without a valid license ( Blows et al, 2005 , Adanu et al, 2018 ). The propensity of certain road user groups to engage in risky driving behaviors have been linked to many factors such as age (e.g., Elander et al, 1993 , Chliaoutakis et al, 2000 , Adanu et al, 2017 ), gender (e.g., Miller et al, 1998 , Turner and McClure, 2003 , Adanu et al, 2018 ), socioeconomic status (e.g., Abdalla et al, 1997 , Liu et al, 1998 ), personality (e.g., Yu and Williford, 1993 , Nicholson et al, 2005 ), type of vehicle being driven (e.g., Ulfarsson and Mannering, 2004 ), and even regional culture and systems (e.g., Lund and Rundmo, 2009 , Atchley et al, 2014 , Adanu et al, 2017 , Adanu et al, 2019 ).…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

“… Anastasopoulos and Mannering (2011) observed that while injury severity models that do not use detailed crash-specific data underperform compared to those that do, random parameter models using less detailed data can provide a reasonable level of accuracy. Recent studies have also explored the temporal stability of factors that affect crash injury severities (e.g., Behnood and Mannering, 2015 , Mannering, 2018 , Islam and Mannering, 2020 ).…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?

Adanu

Brown

Jones

et al. 2021

Accident Analysis & Prevention

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With the rising number of cases and deaths from the COVID-19 pandemic, nations and local governments, including many across the U.S., imposed travel restrictions on their citizens. This travel restriction order led to a significant reduction in traffic volumes and a generally lower exposure to crashes. However, recent preliminary statistics in the US suggest an increase in fatal crashes over the period of lockdown in comparison to the same period in previous years. This study sought to investigate how the pandemic affected road crashes and crash outcomes in Alabama. Daily vehicle miles traveled and crashes were obtained and explored. To understand the factors associated with crash outcomes, four crash-severity models were developed: (1) Single-vehicle (SV) crashes prior to lockdown order (Normal times SV); (2) multi-vehicle (MV) crashes prior to lockdown order (Normal times MV); (3) Single-vehicle crashes after lockdown order (COVID times SV); and (4) Multi-vehicle crashes after lockdown order (COVID times MV). The models were developed using the first 28 weeks of crashes recorded in 2020. The findings of the study reveal that although traffic volumes and vehicle miles traveled had significantly dropped during the lockdown, there was an increase in the total number of crashes and major injury crashes compared to the period prior to the lockdown order, with speeding, DUI, and weekends accounting for a significant proportion of these crashes. These observations provide useful lessons for road safety improvements during extreme events that may require statewide lockdown, as has been done with the COVID-19 pandemic. Traffic management around shopping areas and other areas that may experience increased traffic volumes provide opportunities for road safety stakeholders to reduce the occurrence of crashes in the weeks leading to an announcement of any future statewide or local lockdowns. Additionally, increased law enforcement efforts can help to reduce risky driving activities as traffic volumes decrease.

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A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving

Cited by 144 publications

References 67 publications

Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity

Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity

A comprehensive analysis of factors that influence interstate highway crash severity in Alabama

How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?

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