Risk Factors of Streetcar Intersections Based on the FISM Method

This paper highlights the utilization of the Fuzzy Interpretive Structural Modeling (FISM) method to analyze the interrelationships among influencing factors. By identifying the top influencing factors, including other traffic participants, the number of intersecting roads, performance of other traffic vehicles, streetcar lane priority, and streetcar drivers, the research provides a comprehensive understanding of the factors directly impacting streetcar operations at intersections. Based on the findings, several practical management strategies are proposed. These include strengthening safety education and standardizing driver behavior through increased driver rotation frequency and regency response, and public participation. By implementing these strategies, the paper aims to ensure the safe and efficient operation of streetcars at urban intersections, contributing to a sustainable and reliable urban transportation system.