Hit-and-Run Crashes

Kim, Karl; Pant, Pradip; Yamashita, Eric

doi:10.3141/2083-13

Cited by 32 publications

(4 citation statements)

References 11 publications

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“…Existing literature provides some support for our conjecture that the unintended effects could at least partly be due to intoxicated drivers fleeing crash scenes. It has been shown, for example, that drivers with positive BAC levels, operating a stolen vehicle, or with previous DUI arrests and license suspensions, are more likely to leave the crash scene (e.g., Fujita et al., 2014; Kim et al., 2008; MacLeod et al., 2012; Solnick & Hemenway, 1994; 1995). A greater proportion of HR crashes occur at night and during weekends, when drivers are more likely to be drinking (Solnick & Hemenway, 1994).…”

Section: Discussionmentioning

confidence: 99%

“…HR is more prevalent in urban areas, at nighttime and early morning, under poor lighting conditions, during weekends, and when the drivers are distracted by cellular phones (Solnick & Hemenway, 1995;Tay et al, 2008Tay et al, , 2009Zhou et al, 2016). HR drivers are more likely to be young, male, intoxicated, and driving a stolen, rental, or someone else's vehicle and/or without a valid license (Benson et al, 2021;Fujita et al, 2014;Kim et al, 2008;MacLeod et al, 2012;Solnick & Hemenway, 1995).…”

Section: Introductionmentioning

confidence: 99%

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Hit‐and‐run or hit‐and‐stay? Unintended effects of a stricter BAC limit

French,

Gumus

2024

Risk Analysis

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Although they comprise a relatively small subset of all traffic deaths, hit‐and‐run (HR) fatalities are both contemptible and preventable. We analyze longitudinal data from 1982 to 2008 to examine the effects of blood alcohol concentration (BAC) laws on HR traffic fatalities. Our results suggest that lower BAC limits may have an unintended consequence of increasing HR fatalities, whereas a similar effect is absent for non‐HR fatalities. Specifically, we find that the adoption of a 0.08 BAC limit is associated to an 8.3% increase in HR fatalities. This unintended effect is more pronounced in urban areas and during weekends, which are typical settings for HR incidents.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hit‐and‐run or hit‐and‐stay? Unintended effects of a stricter BAC limit

French,

Gumus

2024

Risk Analysis

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“…where is the vector of explanatory variables, b 0 is the intercept parameter, and b is the vector of slope parameters (41). The authors have extensive experience using this multivariate analytical technique for transportation research (42)(43)(44)(45).…”

Section: Methodsmentioning

confidence: 99%

“…The authors have extensive experience using this multivariate analytical technique for transportation research ( 42 – 45 ).…”

Section: Methodsmentioning

confidence: 99%

Pausing the Pandemic: Understanding and Managing Traveler and Community Spread of COVID-19 in Hawaii

Kim

Yamashita

Ghimire

2021

Transportation Research Record: Journal of the Transportation R

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In the absence of a vaccine, nonpharmaceutical interventions such as social distancing and travel reductions were the only strategies for slowing the spread of the COVID-19 pandemic. Using survey data from Hawaii ( n = 22,200) collected in March through May of 2020 at the onset of the pandemic, the differences between traveler spreaders who brought the disease into the state and community spreaders were investigated. In addition to describing the demographic attributes and comparing them with attributes of those who were vulnerable to COVID-19, logit models explaining travel behaviors were developed and tested. Traveler spreaders were likely to be male, younger, and returning students. Community spreaders were more likely to be male, essential workers, first responders, and medical personnel at the highest risk of exposure. Using spatial statistics, clusters and hotspot locations of high-risk individuals were mapped. As transportation researchers are in a position to combine their critical analytical capabilities and experience with relevant databases on mobility and the spread of infectious diseases, this analysis could support efforts to respond to and slow the spread of the pandemic.

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The analysis of motor vehicle crash clusters using the vector quantization technique

Mussone

Kim

2010

J of Advced Transportation

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In this paper, a powerful tool for analyzing motor vehicle data based on the vector quantization (VQ)\ud technique is demonstrated. The technique uses an approximation of a probability density function for a\ud stochastic vector without assuming an ‘‘a priori’’ distribution. A self-organizing map (SOM) is used to\ud transform accident data from an N-dimensional space into a two-dimensional plane. The SOM retains all the\ud original data yet provides an effective visual tool for describing patterns such as the frequency at which a\ud particular category of events occurs. This enables new relationships to be identified. Accident data from\ud three cities in Italy (Turin, Milan, and Legnano) are used to illustrate the usefulness of the technique. Crashes\ud are aggregated and clustered crashes by type, severity, and along other dimensions. The paper includes\ud discussion as to how this method can be utilized to further improve safety analysis

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Hit-and-Run Crashes

Cited by 32 publications

References 11 publications

Hit‐and‐run or hit‐and‐stay? Unintended effects of a stricter BAC limit

Hit‐and‐run or hit‐and‐stay? Unintended effects of a stricter BAC limit

Pausing the Pandemic: Understanding and Managing Traveler and Community Spread of COVID-19 in Hawaii

The analysis of motor vehicle crash clusters using the vector quantization technique

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