• Journal of Trauma and Injury
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• v.23 no.2
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• pp.128-133
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• 2010

Purpose: All-terrain vehicle (ATV)-related injuries have increased since the introduction of ATVs to Korea. The purpose of this study is to compare patients with ATV-related injuries (PATV) to patients with motorcycle (MC)-related injuries (PMC). Methods: We retrospectively analyzed the clinical records of PATV and PMC who visited an emergency center in 2008. The cases of PMC were 164, and those of PATV were 52. Results: While PMC are seen evenly in the first half year and the second half year, PATV are seen mainly the first half year (from March to June: 73%). For PMC the most frequent injury mechanism was collision with another vehicle, while for PATV, it was side overturn/roll over. The injury severity score (ISS), the revised trauma score (RTS), the trauma score and the injury severity score (TRISS) were $5.6{\pm}5.6$, $7.7{\pm}0.7$, $5.0{\pm}2.1$ for PMC and $7.1{\pm}7.5$, $7.7{\pm}1.1$, $5.5{\pm}1.5$ for PATV, respectively. The most common injury sites were the lower extremities for PMC and the face for PATV. The rates of admission, surgery and the length of hospital stay were similar between PMC and PATV. Conclusion: This study shows that the risk of ATV accidents is similar to that of MC accidents. We recommend that the same safety standards and regulations that are applied to MCs should be used for ATVs. Safe and enjoyable paths have to be sought for drivers of ATVs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.3
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• pp.391-398
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• 2019

In general, truck-involved crashes increase severity in terms of both injury level and crash impact level. Recently, although the frequency and fatality of truck-involved crashes in Korea are rising, their associative studies are very limited. Therefore, the objective of this study is to identify critical factors influencing on injury severity of truck-involved crashes on Korean freeway system. To carry out this objective, this study uses an ordered probit model (OPM) based on a 6-year crash dataset from 2012 to 2017. From the analysis, eight variables were found to have a great effect on injury severity: older driver, crash speed, rear-end collision, number of vehicles involved, drowsy driving, nighttime (0:00 to 6:00) driving, overturn or rollover, and vehicle's fire after crash. However, injury severity was less severe in crashes under snowy condition and crashes to traffic facilities (i.e., crash alone).