Global and local associations between urban greenery and travel propensity of older adults in Hong Kong

归一化差异植被指数 地理 逻辑回归 环境卫生 医学 气候变化 生态学 生物 内科学
作者
Linchuan Yang,Jixiang Liu,Yi Lü,Yibin Ao,Yuan Guo,Wencheng Huang,Rui Zhao,Ruoyu Wang
出处
期刊:Sustainable Cities and Society [Elsevier BV]
卷期号:63: 102442-102442 被引量:68
标识
DOI:10.1016/j.scs.2020.102442
摘要

A significant increase in the older population has been observed in numerous cities. Understanding the correlates of older adults' mobility is, therefore, of critical importance to meet their needs and preferences. Based on multisource data, including Google Street View street images and Hong Kong Travel Characteristics Survey 2011 data, we developed a series of multilevel and geographically weighted logistic regression models to scrutinize the global and local associations between urban greenery (eye-level street greenery, the number of parks, and the normalized difference vegetation index (NDVI)) and the travel propensity of older adults. Notably, eye-level street greenery was assessed by using readily available street images and machine learning techniques. The modeling results reveal that eye-level street greenery has a positive effect on older adults' mobility, but the number of parks and the NDVI do not significantly affect the mobility. Robustness checks verified the plausibility of these findings. Furthermore, the effect of street greenery varies over space, larger in suburban areas than in urban areas. This study advances the understanding of relationships between urban greenery and travel behavior.
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