개인형 이동장치(PM) 사고 유형별 심각도에 영향을 미치는 연관 요인 분석: CCA 및 네트워크 분석 접근

Personal mobility (PM), a core sector of the micromobility industry, has recently gained attention as an eco-friendly mode of transport that enhances mobility equity and rapidly integrates into urban transport infrastructure. However, compared to other mobility modes, PM vehicles lack protective devices for riders, making accidents more likely to result in serious injuries. Accordingly, safety assurance has become a critical issue. Although governments and municipalities have introduced policies to enhance PM safety, regulations based only on general safety rules without considering accident patterns and causal factors have shown limited effectiveness. Since the severity of PM-related accidents often results from complex interactions among multiple factors, policy design must reflect this complexity. To address this, we conducted sequential clustering and network analyses using cross-sectional PM accident data provided by the Korean National Police Agency to identify major interacting factors by accident type. The results classified accidents into three categories-crosswalks, intersections, and sidewalks-and revealed distinct interacting factors across severity levels within each type. These findings provide empirical evidence to support the refinement of PM-related laws and regulations and contribute to reducing accident frequency and severity, thereby fostering a safer PM ecosystem.