2353 - FACTORS INFLUENCING DRIVERS' YIELDING BEHAVIOR IN TAIWAN: THE ROLES OF CONFORMITY EFFECT AND PERSONALITY TRAITS

Session: P_D13S002 - Poster Session 2 - Division 13
AUTHORS:
Kuo Chung-Wei (Department of Transportation and Logistics, Feng Chia University ~ Taichung City ~ Taiwan) , Lo Shih-Yu (Institute of Communication Studies, National Yang Ming Chiao Tung University ~ HSINCHU CITY ~ Taiwan) , Wang Xin-Yu (Department of Transportation and Logistics, Feng Chia University ~ Taichung City ~ Taiwan)
Abstract text:
This study examines drivers' yielding behavior toward pedestrians in Taiwan and explores its relationship with conformity effects and personality traits. In recent years, pedestrian accidents have remained frequent in Taiwan, raising concerns about traffic safety. International media have also highlighted the disorder of Taiwan's traffic environment. To better understand the factors influencing drivers' willingness to yield, this research compares differences in traffic engineering design, education, and law enforcement between Taiwan and other countries. Psychological aspects such as conformity and personality traits are also considered. A questionnaire survey was conducted, and 210 valid responses were collected. A binary logistic regression model was applied to identify key influencing factors. The results show that time and traffic volume, road markings and signs, the number of pedestrians crossing, sidewalks, and related facilities significantly affect drivers' yielding behavior. Time and traffic volume have negative effects, while clear markings, sidewalks, and adequate pedestrian facilities have positive effects. Personality traits did not show a significant influence, whereas conformity proved to be an important psychological factor. These findings suggest that drivers' decisions to yield are shaped not only by physical and environmental conditions but also by social and psychological influences. Future studies are encouraged to use driving simulators and eye-tracking methods to further explore drivers' decision-making processes in real-world scenarios.