Crash Patterns in the COVID-19 Pandemic: The Tale of Four Florida Counties

Koloushani, Mohammadreza; Ghorbanzadeh, Mahyar; Özgüven, Eren Erman; Ulak, Mehmet Baran

doi:10.3390/futuretransp1030023

Cited by 16 publications

(8 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous research validates the distinguishing features of college-oriented areas. For instance, Koloushani et al recently investigated the impacts of the COVID-19 pandemic on crash frequency to evaluate the effectiveness of curfew in areas with different sociodemographics and revealed the significant correlation between the noticeable presence of a youth population in college-oriented areas and crash count reduction during the pandemic [15].…”

Section: Introductionmentioning

confidence: 99%

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

et al. 2022

Self Cite

View full text Add to dashboard Cite

Over the last three decades, traffic crashes have been one of the leading causes of fatalities and economic losses in the U.S.; compared with other age groups, this is especially concerning for the youth population (those aged between 16 and 24), mostly due to their inexperience, greater inattentiveness, and riskier behavior while driving. This research intends to investigate this issue around selected Florida university campuses. We employed three methods: (1) a comparative assessment for three selected counties using both planar Euclidean Distance and Roadway Network Distance-based Kernel Density Estimation methods to determine high-risk crash locations, (2) a crash density ratio difference approach to compare the maxima-normalized crash densities for the youth population and those victims that are 25 and up, and (3) a logistic regression approach to identify the statistically significant factors contributing to young-driver-involved crashes. The developed GIS maps illustrate the difference in spatial patterns of young-driver crash densities compared to those for other age groups. The statistical findings also reveal that intersections around university areas appear to be significantly problematic for youth populations, regardless of the differences in the general perspective of the characteristics of the selected counties. Moreover, the speed limit countermeasures around universities could not effectively prevent young-driver crash occurrences. Hence, the results of this study can provide valuable insights to transportation agencies in terms of pinpointing the high-risk locations around universities, assessing the effectiveness of existing safety countermeasures, and developing more reliable plans with a focus on the youth population.

show abstract

Section: Introductionmentioning

confidence: 99%

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…On the other hand, for example, drivers' age was only influential when the crash occurred on a night without enough lighting. This can clearly indicate that unlighted streets at night are complicated driving situations, especially for inexperienced (young) drivers [17]. Overall, the results were primarily similar between daylight and lighted conditions at night; yet, they were both different with night crashes in unlighted situations.…”

Section: Variables' Importance Across the Developed Cartsmentioning

confidence: 76%

Analysis of Factors Associated with Traffic Injury Severity on Urban Roads in Different Lighting Conditions

Asil¹,

Toroghi²,

Bargegol³

2022

CRPASE

View full text Add to dashboard Cite

This research has studied the severity of vehicle-to-vehicle accidents in Rasht City in various lighting conditions. In the present study, the target variable is the severity of an accident, which is split into two classes of no injury and injury/death. The effects of independent variables, including environmental, human, and roadway-related factors, on the vehicle-tovehicle accident severity, have been investigated. The classification and regression tree (CART) method has been used for modeling purposes. The results showed that on daylight accidents if the not-at-fault driver is a motorcycle, the accident tends to be fatal or injury with the probability of 95.6%. At night with enough lighting, if the at-fault vehicle is a motorcycle and the not-at-fault vehicle is not a motorcycle, there is a probability of 72% of injury or death in case of inattention to the front. Also, if the accident reason is inattention to the front and the not-at-fault driver is route familiar, there is a 95.1% probability of injury and death. In addition, at night accidents without enough lighting, if the not-at-fault vehicle is a motorcycle and the accident does not occur in the summer, with the 100% probability, the accident leads to injury and death.

show abstract

“…This finding is intuitive and is consistent with expectations as young drivers mostly exhibit dangerous behaviors (such as speeding and illegal maneuvers) driving, more than older drivers. Additionally, young drivers may lack enough experience to do needed maneuvers before collisions (such as distinguishing the best rescue route before a crash) [34]. Unfamiliar drivers are found to be prone to less severe crashes regardless of their percentage of fault.…”

Section: Resultsmentioning

confidence: 99%

Understanding the Factors Affecting Urban Vehicle-to-Vehicle Crash Severity with Focus on Drivers' Route Familiarity

Saheli¹

2022

CRPASE

View full text Add to dashboard Cite

Human factors are usually of paramount importance when it comes to traffic crashes. Drivers' route familiarity or unfamiliarity is a critical human-related factor that has less been considered in the literature. This factor can lead to inattention, distraction, and dangerous behaviors due to familiar drivers' over-confidence or unfamiliar drivers' insufficient knowledge of road geometry and environment. The main objective of this study is to discover the factors affecting the severity of vehicle-to-vehicle crashes in Rasht city (in northern Iran) involving unfamiliar and familiar drivers using a logistic regression model. The results indicate the significant effect of human factors such as driver's familiarity and age, collision type, angle and reason, temporal factors (season and time of day), vehicles involved in the crash, and environmental conditions on the injury severity of vehicle-tovehicle crashes in urban roads. The results of this study can be used by policymakers and implementers to take appropriate measures to reduce the severity of vehicle-to-vehicle crashes in urban areas.

show abstract

Crash Patterns in the COVID-19 Pandemic: The Tale of Four Florida Counties

Cited by 16 publications

References 67 publications

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

Analysis of Factors Associated with Traffic Injury Severity on Urban Roads in Different Lighting Conditions

Understanding the Factors Affecting Urban Vehicle-to-Vehicle Crash Severity with Focus on Drivers' Route Familiarity

Contact Info

Product

Resources

About