Hospitalizations and Fatalities in Crashes With Light Trucks

Karaca‐Mandic, Pinar; Lee, Jinhyung

doi:10.1080/15389588.2013.803279

“…In addition, the extra sturdiness and safety equipment present in luxury cars may reduce the bodily injury of their drivers and passengers. On the other hand, bodily injury may increase as luxury car ratio increases if the luxury cars' sturdiness or safety features cause more severe bodily injury of others on roads, as is sometimes the case with accidents involving SUVs and pickup trucks (Meyer and Gomez-Ibanez, 1981;White, 2004;Wenzel and Ross, 2005;Anderson, 2008;Karaca-Mandic and Lee, 2014). If luxury cars reduce bodily injury losses, this effect may offset the increased cost from the physical damage liability.…”

Section: Other Discussion Luxury Cars and Bodily Injury Liabilitymentioning

confidence: 99%

Externalities From Driving Luxury Cars

Park

¹

,

Han

²

2017

Risk Manage Insurance Review

3

0

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Driving luxury cars creates negative externalities. Driving a luxury car increases property damage liability insurance costs for all drivers due to the striking differences in repair costs of luxury cars and nonluxury cars in Korea. In this study, we estimate the externalities related to auto accidents involving luxury cars by running a two‐part model using unbalanced individual‐level panel data on insurance claims and characteristics of the insured party. We find evidence of negative externalities in all of our results. To be specific, a 1 percent increase in luxury cars raises the property damage liability costs by 1.9–2.6 percent per claim. The estimated nationwide increase in the cost of liability due to driving of luxury cars in Korea is USD 139–196 million per year. This cost is shared by all drivers nationwide.

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“…Some studies have shown an association between these two phenomena, including an American cross sectional study from 2002 [4], a retrospective analysis focused on New York City in the 1990s [5], and an Australian study summarizing low speed fatalities on young children in the late 1990s [6]. The increased morbidity and mortality that light trucks impose on vulnerable road users are likely due to light trucks' large size, taller body, stiffer front structure, and decreased visibility for their drivers [7]. Americans walk and bike less than many of their rst world counterparts [8], however this varies by state [9].…”

Section: Introductionmentioning

confidence: 99%

What Factors Impact Pedestrian and Cyclist Fatalities? A State Level Analysis

Hafeez

¹

,

Mehta

²

2021

Preprint

0

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Background Pedestrian and bicyclist injuries and fatalities have increased since 2010 after a long downward trend. Trucks and SUVs, collectively called light trucks, have also increased in sales and size, which may affect pedestrians and bicyclists. Additionally, pedestrian and cyclist commuters vary by state and it has been speculated that an increase in such commuters may affect fatalities. Studying vulnerable road users can bestow clues on best practices for infrastructure and public health. Methods State level pedestrian and cyclist fatality data was obtained from the National Highway Transportation Safety Administration for 2018. Light truck registration by state was obtained from the Office of Highway Policy Information for 2018. Commuters who walk or bike to work were obtained from the American Community Survey from 2009 to 2011, from the latest Centers for Disease Control report. We performed multiple linear regression, accounting for total motor vehicle lane miles per 100 people, also obtained from the Office of Highway Policy Information for 2018. Multiple regression analysis was performed to assess predictors for pedestrian and cyclist fatalities with the predictors variables of light truck registration, lane miles per 100 people, and proportion of commuters who are vulnerable road users. Secondary analysis included simple linear regression of the predictor variables against each other. Results The multiple regression model, including proportion of light truck registration, lane miles per 100 people, and proportion of commuters who are vulnerable road users, accounted for 18% of the variability in the outcome variable (p = 0.03). An increased number of vulnerable road users were negatively associated with pedestrian and bicyclist fatality. Additionally, there appeared to be an association between motor vehicle lane miles per 100 people and proportion of light truck registrations that was also significant (p < 0.01). Conclusion The variables affecting vulnerable road user deaths are important to understand given their increased risk exposure on the road. This state level study identifies a potential protective variable with increased vulnerable road users being associated with a decrease in pedestrian and bicyclist death rates. Additionally, light truck proportions do not appear to have a significant effect on death rates.

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“…Some studies have shown an association between these two phenomena, including an American cross sectional study from 2002 (Paulozzi 2005 ), a retrospective analysis focused on New York City in the 1990s (DiMaggio et al 2006 ), and an Australian study summarizing low speed fatalities on young children in the late 1990s (Neeman et al 2002 ). The increased morbidity and mortality that light trucks impose on vulnerable road users are likely due to light trucks’ large size, taller body, stiffer front structure, and decreased visibility for their drivers (Karaca-Mandic and Lee 2014 ).…”

Section: Introductionmentioning

confidence: 99%

What factors impact pedestrian and cyclist fatalities? A state level analysis

Hafeez

¹

,

Mehta

²

2021

Inj. Epidemiol.

1

0

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Background Pedestrian and bicyclist injuries and fatalities have increased since 2010 after a long downward trend. Trucks and SUVs, collectively called light trucks, have also increased in sales and size, which may affect pedestrians and bicyclists. Additionally, pedestrian and cyclist commuters vary by state and it has been speculated that an increase in such commuters may affect fatalities. Studying vulnerable road users can bestow clues on best practices for infrastructure and public health. Methods State level pedestrian and cyclist fatality data was obtained from the National Highway Transportation Safety Administration for 2018. Light truck registration by state was obtained from the Office of Highway Policy Information for 2018. Commuters who walk or bike to work were obtained from the American Community Survey from 2009 to 2011, from the latest Centers for Disease Control report. We performed multiple linear regression, accounting for total motor vehicle lane miles per 100 people, also obtained from the Office of Highway Policy Information for 2018. Multiple regression analysis was performed to assess predictors for pedestrian and cyclist fatalities with the predictors variables of light truck registration, lane miles per 100 people, and proportion of commuters who are vulnerable road users. Secondary analysis included simple linear regression of the predictor variables against each other. Results The multiple regression model, including proportion of light truck registration, lane miles per 100 people, and proportion of commuters who are vulnerable road users, accounted for 18% of the variability in the outcome variable (p = 0.03). An increased number of vulnerable road users were negatively associated with pedestrian and bicyclist fatality. Additionally, there appeared to be an association between motor vehicle lane miles per 100 people and proportion of light truck registrations that was also significant (p < 0.01). Conclusion The variables affecting vulnerable road user deaths are important to understand given their increased risk exposure on the road. This state level study identifies a potential protective variable with increased vulnerable road users being associated with a decrease in pedestrian and bicyclist death rates. Additionally, light truck proportions do not appear to have a significant effect on death rates.

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Hospitalizations and Fatalities in Crashes With Light Trucks

Cited by 4 publications

References 22 publications

Externalities From Driving Luxury Cars

Externalities From Driving Luxury Cars

What Factors Impact Pedestrian and Cyclist Fatalities? A State Level Analysis

What factors impact pedestrian and cyclist fatalities? A state level analysis

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