| Title |
Analysis of Environment Factors Influencing the Types of Activity Trip Chains in Older Adults - Focusing on the Elements of Active Aging |
| Authors |
최선진(Choi, Seonjin) ; 이수기(Lee, Sugie) |
| DOI |
https://doi.org/10.38195/judik.2025.02.26.3.121 |
| Keywords |
고령자 통행; 일상활동 통행사슬; 활동적 노화; 해석가능한 기계학습 Elderly Mobility; Daily Activity Trip Chains; Active Aging; Interpretable Machine Learning |
| Abstract |
As societies age, ensuring mobility for older adults is essential for promoting healthy and active aging. This study examines the trip chain types of older adults based on daily activities and analyzes the influence of physical environmental factors in Seoul, Korea. By distinguishing between residential areas and primary activity locations, the study applies interpretable machine learning techniques to explore potential nonlinear relationships. The results reveal that the environment around primary activity locations has greater relative importance than that of residential areas, suggesting that older adults choose destinations based on specific needs rather than proximity. Additionally, nonlinear patterns found in most variables indicate that elderly travel behavior is more closely related to qualitative environmental aspects than to simple quantitative measures. These findings highlight the need for urban policies that support diverse, purpose-driven mobility to achieve active aging. |