山东建筑大学学报2026，Vol.41Issue(2)：50-58,65,10.DOI:10.12077/sdjz.2026.02.006
社区街道可步行性对老年人出行活动的影响
The impact of neighborhood walkability on the travel activities of the elderly:An empirical study based on Random Forest-SHAP across multiple neighborhoods
摘要
Abstract
Against the backdrop of rapid population aging,the influence of community street environments on older adults'travel behaviors has attracted increasing attention.Taking typical communities in the central urban area of Dalian as case studies,this research constructs a multi-dimensional response index system covering travel frequency and travel types.An interpretable machine learning framework(random forest integrated with SHAP)is employed to reveal the non-linear impacts of community street walkability factors on older adults'travel activities.The results indicate that street integration,connectivity,and the green view index significantly increase the daily travel frequency of older adults,with clear threshold effects.Regarding activity types,necessary activities are primarily supported by morphological factors such as road density and the number of intersections whereas social and health maintenance activities rely more on facility abundance and spatial fit.In addition,optimizing the green view index and the ratio of on-street parking spaces significantly promotes leisure activities among older adults.关键词
社区街道/可步行性/老年人/出行活动/机器学习Key words
community street/walkability/older adult/travel behavior/machine learning分类
建筑与水利引用本文复制引用
蔡军,于雍浩,严桥,武一双..社区街道可步行性对老年人出行活动的影响[J].山东建筑大学学报,2026,41(2):50-58,65,10.基金项目
国家自然科学基金项目(52278048) （52278048）
