Journal
SUSTAINABILITY
Volume 14, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/su14020696
Keywords
young-driver-involved crashes; geographic information systems; spatial density analysis; kernel density estimation; logistic regression model
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Traffic crashes have been a major cause of deaths and economic losses in the U.S. over the past three decades, particularly among young people aged 16 to 24. This study investigates the issue around Florida university campuses, using three methods: comparative assessment, crash density ratio difference, and logistic regression. The findings show that intersections around universities pose significant problems for young drivers, regardless of county characteristics, and speed limit countermeasures are ineffective in preventing young-driver crashes. The study provides valuable insights for transportation agencies to identify high-risk locations, assess existing safety measures, and develop more reliable plans for the youth population.
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.
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