텍스트 마이닝을 통한 교통심리학 연구 동향분석

Abstract

This study analyzed trends in traffic psychology research through topic modeling, presenting research achievements and suggesting new research topics. A total of 140 papers related to traffic psychology were collected, predominantly published in journals affiliated with The Korean Psychological Journal of Culture and Social Issues. To identify trends in research topics, topic modeling was conducted on the Korean abstracts, yielding 10 topics: ‘Drunk Driving’, ‘Psychological Factors’, ‘PTSD’, ‘Elderly Driver’, ‘Traffic Legal Violation’, ‘Driver Characteristics’, ‘Traffic Environment’, ‘Driving Stress’, ‘Traffic Safety Facilities’, and ‘Road Rage’. These topics revealed a diverse range of research fields, with studies in 2005 focusing on the elderly and in 2009 on driver characteristics. Research in traffic psychology has consistently been conducted over the past 30 years, covering various topics aimed at preventing traffic accidents. With the advent of the autonomous driving era and the emerging need for coexistence between humans and technology, this study underscores the importance of research on humanity. It proposes that future research should build upon existing studies to explore the philosophical and ethical aspects related to psychology in the context of autonomous driving.