Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94207
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Yang, L | en_US |
dc.creator | Ao, Y | en_US |
dc.creator | Ke, J | en_US |
dc.creator | Lu, Y | en_US |
dc.creator | Liang, Y | en_US |
dc.date.accessioned | 2022-08-11T01:08:36Z | - |
dc.date.available | 2022-08-11T01:08:36Z | - |
dc.identifier.issn | 0966-6923 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/94207 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Yang, L., Ao, Y., Ke, J., Lu, Y., & Liang, Y. (2021). To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults. Journal of transport geography, 94, 103099 is available at https://doi.org/10.1016/j.jtrangeo.2021.103099. | en_US |
dc.subject | Big data | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Population aging | en_US |
dc.subject | Random forest | en_US |
dc.subject | Streetscape greenery | en_US |
dc.subject | Travel behavior | en_US |
dc.subject | Walking behavior | en_US |
dc.title | To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 94 | en_US |
dc.identifier.doi | 10.1016/j.jtrangeo.2021.103099 | en_US |
dcterms.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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of transport geography, June 2021, v. 94, 103099 | en_US |
dcterms.isPartOf | Journal of transport geography | en_US |
dcterms.issued | 2021-06 | - |
dc.identifier.scopus | 2-s2.0-85106960716 | - |
dc.identifier.artn | 103099 | en_US |
dc.description.validate | 202208 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LMS-0036 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Fundamental Research Funds for the Central Universities of China; Education and Scientific Research Grant of Sichuan Province; Talent Cultivation Quality and Teaching Reform Project of Ideological and Political Theory Course of Chengdu University of Technology in 2020 | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 55063648 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ke_Walk_Or_Not.pdf | Pre-Published version | 1.5 MB | Adobe PDF | View/Open |
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