Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis

Background: Drunk-driving is a major crash risk factor, and crashes resulting from this risky behavior tend to be serious and have significant economic and societal impacts. The presence of passengers and their demographics and activities can influence risky driving behaviors such as drunk-driving....

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Main Authors: Abhay Lidbe, Emmanuel Kofi Adanu, Elsa Tedla, Steven Jones
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Safety
Subjects:
Online Access:https://www.mdpi.com/2313-576X/6/2/30
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spelling doaj-c610ad699ef040ee9d31a33ed5bfe7712020-11-25T02:44:18ZengMDPI AGSafety2313-576X2020-06-016303010.3390/safety6020030Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity AnalysisAbhay Lidbe0Emmanuel Kofi Adanu1Elsa Tedla2Steven Jones3Alabama Transportation Institute, University of Alabama, Tuscaloosa, AL 35487, USAAlabama Transportation Institute, University of Alabama, Tuscaloosa, AL 35487, USAAlabama Transportation Institute, University of Alabama, Tuscaloosa, AL 35487, USADepartment of Civil, Construction & Environmental Engineering, University of Alabama, Tuscaloosa, AL 35487, USABackground: Drunk-driving is a major crash risk factor, and crashes resulting from this risky behavior tend to be serious and have significant economic and societal impacts. The presence of passengers and their demographics and activities can influence risky driving behaviors such as drunk-driving. However, passengers could either be an “enabling” factor to take more risks or could be an “inhibiting” factor by ensuring safe driving by a drunk-driver. Objective: This study examines whether the presence of passengers affects the contributing factors of single-vehicle (SV) drunk-driving crashes, by presenting a severity analysis of single- and multi-occupant SV drunk-driving crashes, to identify risk factors that contribute to crash severity outcomes, for the effective implementation of relevant countermeasures. Method: A total of 7407 observations for 2012–2016 from the crash database of the State of Alabama was used for this study. The variables were divided into six classes: temporal, locational, driver, vehicle, roadway, and crash characteristics and injury severities into three: severe, minor, and no injury. Two latent class multinomial logit models—one each for single- and multi-occupant crashes—were developed, to analyze the effects of significant factors on injury severity outcomes using marginal effects. Results: The estimated results show that collision with a ditch, run-off road, intersection, winter season, wet roadway, and interstate decreased the probability of severe injuries in both single- and multi-occupant crashes, whereas rural area, road with downward grade, dark and unlit roadway, unemployed driver, and driver with invalid license increased the likelihood of severe injuries for both single- and multi-occupant crashes. Female drivers were more likely to be severely injured in single-occupant crashes, but less likely in multi-occupant crashes. A significant association was found between severe injuries and weekends, residential areas, and crash location close (<25 mi ≈40.23 km ) to the residence of the at-fault driver in multi-occupant crashes. Sport utility vehicles were found to be safer when driving with passengers. Conclusions: The model findings show that, although many correlates are consistent between the single- and multi-occupant SV crashes that are associated with locational, roadway, vehicle, temporal, and driver characteristics, their effect can vary across the single- and multi-occupant driving population. The findings from this study can help in targeting interventions, developing countermeasures, and educating passengers to reduce drunk-driving crashes and consequent injuries. Such integrated efforts combined with engineering and emergency response may contribute in developing a true safe systems approach.https://www.mdpi.com/2313-576X/6/2/30drunk-drivingsingle-vehiclepassengerssingle-occupantmulti-occupantcrash severity
collection DOAJ
language English
format Article
sources DOAJ
author Abhay Lidbe
Emmanuel Kofi Adanu
Elsa Tedla
Steven Jones
spellingShingle Abhay Lidbe
Emmanuel Kofi Adanu
Elsa Tedla
Steven Jones
Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
Safety
drunk-driving
single-vehicle
passengers
single-occupant
multi-occupant
crash severity
author_facet Abhay Lidbe
Emmanuel Kofi Adanu
Elsa Tedla
Steven Jones
author_sort Abhay Lidbe
title Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
title_short Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
title_full Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
title_fullStr Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
title_full_unstemmed Role of Passengers in Single-Vehicle Drunk-Driving Crashes: An Injury-Severity Analysis
title_sort role of passengers in single-vehicle drunk-driving crashes: an injury-severity analysis
publisher MDPI AG
series Safety
issn 2313-576X
publishDate 2020-06-01
description Background: Drunk-driving is a major crash risk factor, and crashes resulting from this risky behavior tend to be serious and have significant economic and societal impacts. The presence of passengers and their demographics and activities can influence risky driving behaviors such as drunk-driving. However, passengers could either be an “enabling” factor to take more risks or could be an “inhibiting” factor by ensuring safe driving by a drunk-driver. Objective: This study examines whether the presence of passengers affects the contributing factors of single-vehicle (SV) drunk-driving crashes, by presenting a severity analysis of single- and multi-occupant SV drunk-driving crashes, to identify risk factors that contribute to crash severity outcomes, for the effective implementation of relevant countermeasures. Method: A total of 7407 observations for 2012–2016 from the crash database of the State of Alabama was used for this study. The variables were divided into six classes: temporal, locational, driver, vehicle, roadway, and crash characteristics and injury severities into three: severe, minor, and no injury. Two latent class multinomial logit models—one each for single- and multi-occupant crashes—were developed, to analyze the effects of significant factors on injury severity outcomes using marginal effects. Results: The estimated results show that collision with a ditch, run-off road, intersection, winter season, wet roadway, and interstate decreased the probability of severe injuries in both single- and multi-occupant crashes, whereas rural area, road with downward grade, dark and unlit roadway, unemployed driver, and driver with invalid license increased the likelihood of severe injuries for both single- and multi-occupant crashes. Female drivers were more likely to be severely injured in single-occupant crashes, but less likely in multi-occupant crashes. A significant association was found between severe injuries and weekends, residential areas, and crash location close (<25 mi ≈40.23 km ) to the residence of the at-fault driver in multi-occupant crashes. Sport utility vehicles were found to be safer when driving with passengers. Conclusions: The model findings show that, although many correlates are consistent between the single- and multi-occupant SV crashes that are associated with locational, roadway, vehicle, temporal, and driver characteristics, their effect can vary across the single- and multi-occupant driving population. The findings from this study can help in targeting interventions, developing countermeasures, and educating passengers to reduce drunk-driving crashes and consequent injuries. Such integrated efforts combined with engineering and emergency response may contribute in developing a true safe systems approach.
topic drunk-driving
single-vehicle
passengers
single-occupant
multi-occupant
crash severity
url https://www.mdpi.com/2313-576X/6/2/30
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