@article{ref1,
title="To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults",
journal="Journal of transport geography",
year="2021",
author="Yang, Linchuan and Ao, Yibin and Ke, Jintao and Lu, Yi and Liang, Yuan",
volume="94",
number="",
pages="e103099-e103099",
abstract="Population aging is a conspicuous demographic trend shaping the world profoundly. Walking is a critical travel mode and physical activity for older adults. As such, there is a need to determine the factors influencing the walking behavior of older people in the era of population aging. Streetscape greenery is an easily perceived built-environment attribute and can promote walking behavior, but it has received insufficient attention. More importantly, the non-linear effects of streetscape greenery on the walking behavior of older adults have not been examined. We therefore use readily available Google Street View imagery and a fully convolutional neural network to evaluate human-scale, eye-level streetscape greenery. Using data from the Hong Kong Travel Characteristic Survey, we adopt a machine learning technique, namely random forest modeling, to scrutinize the non-linear effects of streetscape greenery on the walking propensity of older adults. The results show that streetscape greenery has a positive effect on walking propensity within a certain range, but outside the range, the positive association no longer holds. The non-linear associations of other built-environment attributes are also examined.<p /> <p>Language: en</p>",
language="en",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2021.103099",
url="http://dx.doi.org/10.1016/j.jtrangeo.2021.103099"
}