A Study on the Analysis of Risk Factors in the Vulnerable Areas of Traffic Accidents in Elderly Pedestrians

Key Points

• The study aims to identify risk factors contributing to traffic accidents involving elderly pedestrians in traditional markets.
• Surveyed 251 users of traditional markets regarding their traffic experiences.
• Used structural equation modeling (SEM) to analyze data on risk factors.
• Focused on traffic management, law violations, and driver attitude as key factors.
• Traffic management level had a significant impact (β=0.382, p=0.001).
• Traffic law violations significantly increased accident risk (β=0.254, p<0.001).
• Driver attitude awareness also significantly affected accident risk (β=0.246, p=0.003).

Abstract