전남 지역 농기계 탑승자 인적피해 교통사고의 유형별 특성 및 저감 대책

Abstract

This study aimed to provide foundational data for establishing measures to prevent
 agricultural machinery traffic accidents by analyzing Jeonnam Police Agency's data on traffic
 injuries to agricultural machinery occupants between 2014 and 2018. Out of 760 accidents,
 52.9% were vehicle-to-vehicle collision where agricultural machinery operators involved as a
 secondary party(less responsible to accidents), 25.9% were single agricultural machinery
 accidents, and 21.2% were vehicle-to-vehicle collision where agricultural machinery operators
 involved as a primary party(more responsible to accidents). 95.8% of the accident-involved
 agricultural machinery operators were male, 45.9% were in their 70s, and the main types of
 agricultural machinery involved in the accidents were power tillers (61.6%), tractors (11.3%),
 and unidentified types (22.0%). Results of the multivariable logistic regression showed higher
 death risks for elderly drivers, single machinery accidents (10.0 times higher than primary
 party accidents), power tiller accidents (1.7 times higher than tractor accidents), and
 accidents on downhill roads (1.7 times higher than flat or other roads). Different accident
 characteristics appeared based on involved parties, suggesting the need for specific preventive
 measures considering each type's accident characteristics and representative accident forms.