Random Forest-based Factor Analysis of Driver Emergency Medical Response in Road Traffic Accidents

Key Points

• This research aims to analyze the structural characteristics of emergency medical response needs after traffic accidents.
• Utilized data from the Fire Safety Big Data Platform to investigate emergency medical activities.
• Conducted random forest-based factor analysis to identify key influences on emergency response.
• Included analysis of the entire response process: dispatch, on-site treatment, and transport.
• Minor and moderate injuries, like back pain, significantly increase emergency response needs regardless of accident severity.
• Urban areas exhibit structurally high emergency demand due to concentrated response requirements.
• High-risk factors such as severe trauma and cardiac arrest require extensive emergency resources despite their lower frequency.

Abstract