Abstract
Purpose: This study aims to mitigate traffic accidents within apartment complexes. The existing body of research on traffic accidents in apartment complexes primarily consists of qualitative studies such as on-site investigations and policy research. Consequently the objective was to derive quantitative indicators for the spatial structure of apartment complexes and comprehend their correlation with accidents within these complexes. Subsequently, the study endeavors to validate an efficient road system based on significant spatial structure indicators through correlation analysis with environmental factors in apartment complexes. Method: The focus of this study is on apartment complexes in Seoul with more than 1,200 households, excluding newly constructed complexes approved within the last 10 years. Publicly available data was utilized, and Space Syntax indicators were collected and computed for the sampled complexes and spaces using the Depthmap X program. Logistic regression analysis was then applied to discern the association between Space Syntax indicators and the incidence of accidents within apartment complexes. Then new determinants were classified into road structure characteristics, complex characteristics, and traffic characteristics. Ordinary Least Squares (OLS) regression analysis was subsequently conducted. Result: The logistic regression analysis revealed that the specific Space Syntax indicator, RRA, exhibited a negative impact on traffic accidents within the complexes. Further analysis of RRA, road structure attributes, complex characteristics, and traffic characteristics identified significant factors. This study is significant in providing insights for the evaluation of road systems within apartment complexes using spatial syntax and analyzing meaningful factors related to spatial indicators.
| Translated title of the contribution | Strategies for Apartment Complex Planning to Prevent Traffic Accidents within Complexes Based on Spatial Configuration of Roads |
|---|---|
| Original language | Korean |
| Pages (from-to) | 23-34 |
| Number of pages | 12 |
| Journal | KIEAE Journal |
| Volume | 24 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2024 |