Analyzing Traffic Accident Factors in Large-scale Apartment Complexes: Insights from Seoul Using Poisson Regression

This study examines the factors contributing to traffic accidents within apartment complexes. Seoul's vibrant apartment market offers a rich source of data, capturing a variety of complex types over time. Data from a sample of 288 complexes with over 1,200 households in Seoul were analyzed to understand traffic accident trends from 2019 to 2022. Using Poisson regression analysis, this study aims to identify key factors influencing accident rates. Independent variables such as complex size, traffic flow, and neighborhood characteristics were collected and analyzed. The analysis showed that a greater number of households in a complex raised the likelihood of traffic accidents and that CCTV installations also had a significant effect on accident probability. The type of surrounding roads even played a role, with two-way parallel roads presenting the highest risk, followed by two-way corner roads, three-way roads, and four-way roads. This study found that more parking spaces per household tended to lower accident rates, while multi-way intersections increased risk. Additionally, the presence of nearby educational facilities was associated with fewer accidents, and complexes with on-site or adjacent commercial areas experienced fewer accidents. These findings highlight the importance of managing vehicle speed and promoting pedestrian traffic to improve safety awareness among drivers. This study's insights can guide future planning and maintenance strategies for apartment complexes, aiming to create safer environments for both residents and visitors.