This study examines the links between neighborhood walkability, household income, and older adults’ walking trips. This study mainly utilizes the detailed individual-level data from the 2017 National Household Travel Survey-California Add-on (2017 NHTS-CA). To understand neighborhood walkability and its effects on older adults’ walking trips, we first classify neighborhoods using K-means clustering algorithm based on neighborhood-built environment attributes and access to urban amenities. We then employ negative binomial regression models to analyze the determinants of older adults’ walking trips, with a focus on the effects of household income and neighborhood walkability. Key findings from our empirical analyses are as follows. First, older adults with physical disabilities tend to have fewer walk trips as compared to those without disabilities. Second, subjective health conditions are critical for older adults’ walking trips. Third, increasing household income decreases walking frequency. Fourth, after controlling for various other factors, older adults living in walkable neighborhoods have more frequent walking trips. Fifth, although an increase in household income leads to decreases in older adults’ walking trips, high neighborhood walkability moderates this effect and reduces the adverse effect on walking trip frequencies.

中文翻译：

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社区步行能力对老年人步行出行的影响：收入重要吗？


本研究考察了社区步行能力、家庭收入和老年人步行旅行之间的联系。本研究主要利用来自 2017 年全国家庭旅行调查-加利福尼亚附加组件 （2017 NHTS-CA） 的详细个人层面数据。为了了解社区步行能力及其对老年人步行出行的影响，我们首先使用基于社区建筑环境属性和城市设施访问的 K-means 聚类算法对社区进行分类。然后，我们采用负二项式回归模型来分析老年人步行旅行的决定因素，重点关注家庭收入和社区步行能力的影响。我们的实证分析的主要发现如下。首先，与没有残疾的老年人相比，有身体残疾的老年人往往步行次数较少。其次，主观健康状况对老年人的步行旅行至关重要。第三，增加家庭收入会降低步行频率。第四，在控制了各种其他因素后，居住在步行社区的老年人步行出行更加频繁。第五，虽然家庭收入的增加导致老年人步行出行的减少，但较高的社区步行能力会缓和这种影响并减少对步行出行频率的不利影响。