| 英文摘要 |
Objectives: This study investigated the spatiotemporal distribution and crash type patterns of traffic collisions involving older motorcyclists (age≥65 years) in Taiwan. Age- and sex-stratified analyses were performed. Methods: Traffic collision data (2014–2023) from the Taiwan Police-reported Traffic Accident Registry were analyzed. The study sample comprised 400,350 cases of traffic collisions involving older motorcyclists. Descriptive statistics (counts and percentages) were used for age- and sex-based comparisons. Latent class analysis was performed to identify underlying spatiotemporal classes, followed by logistic regression to determine age- and sex-related differences in class membership. Results: Most collisions involved riders aged 65–74 years (71.25%). The rate of collisions was higher among male riders than among female riders; this sex difference widened with increasing age. Three latent classes emerged: an unsignalized crash group (UCG), a signalized intersection group (SIG), and a flashing–signal intersection group (FSIG). Older (age≥75 years), female, and non-helmet-wearing riders were more likely to be classified into the UCG and FSIG than into the SIG. Among them, riders aged 75–84 years had an adjusted odds ratio of 1.23 for classification into the FSIG (95% confidence interval: 1.16-1.31). Conclusions: The types of collisions involving older motorcyclists varied primarily by roadway location–related parameters. Relevant agencies should prioritize improvements in intersection signal design and roadway guidance to enhance the safety of older motorcycle riders. |