Abstract

Abstract The rapid growth of motor vehicle use has heightened concerns about road safety and environmental sustainability, particularly among young adults in academic settings. In Indonesia, individuals aged 20–29 years account for the largest proportion of traffic accident victims, underscoring the vulnerability of university students as active road users. This study examines the traffic behavior of motorcycle-riding students from the Faculty of Mathematics and Natural Sciences (FMIPA) at the University of Mataram and assesses the associated environmental implications using a fuzzy clustering approach. The Fuzzy C-Means (FCM) algorithm classified respondents according to their degree of membership in distinct risk levels, while chi-square tests examined associations between personal characteristics and traffic risk categories. Two main clusters were identified: a low-risk group of 220 respondents and a high-risk group of 199. Female riders were more represented in the low-risk cluster (73.6%) than in the high-risk cluster (60.8%), whereas male riders predominated in the latter. Gender was significantly associated with risk level, whereas age, class year, and study program were not. The findings highlight gender as a key determinant of risky driving behavior and emphasize the environmental impact of unsafe motorcycling, supporting the need for gender-sensitive safety policies and sustainable mobility initiatives in universities.

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