Spatially varying associations between the built environment and older adults' propensity to walk
Population aging has become a severe issue facing most nations and areas worldwide—with Hong Kong being no exception. For older adults, walking is among the most well-liked travel modes, boosting their overall health and wellbeing. Some studies have confirmed that the built environment has a signifi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003791/full |
| _version_ | 1828121346362572800 |
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| author | Chunmei Yang Xianglong Tang Linchuan Yang |
| author_facet | Chunmei Yang Xianglong Tang Linchuan Yang |
| author_sort | Chunmei Yang |
| collection | DOAJ |
| description | Population aging has become a severe issue facing most nations and areas worldwide—with Hong Kong being no exception. For older adults, walking is among the most well-liked travel modes, boosting their overall health and wellbeing. Some studies have confirmed that the built environment has a significant (spatially fixed) influence on older adults' walking behavior. However, little consideration has been given to the potential spatial heterogeneity in such influences. Hence, this study extracted data on older adults' (outdoor) walking behavior from the 2011 Hong Kong Travel Characteristics Survey and measured a series of built environment attributes based on geo-data (e.g., Google Street View imagery). Logistic regression and geographically weighted logistic regression models were developed to unveil the complicated (including spatially fixed and heterogeneous) association between the built environment and older adults' propensity to walk. We show that population density, land-use mix, street greenery, and access to bus stops are positively connected with the propensity to walk of older adults. Intersection density seems to impact walking propensity insignificantly. All built environment attributes have spatially heterogeneous effects on older adults' walking behavior. The percentage of deviance explained is heterogeneously distributed across space. |
| first_indexed | 2024-04-11T14:19:08Z |
| format | Article |
| id | doaj.art-7247a85544934cb595be92ccb525ae63 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T14:19:08Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-7247a85544934cb595be92ccb525ae632022-12-22T04:19:07ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-08-011010.3389/fpubh.2022.10037911003791Spatially varying associations between the built environment and older adults' propensity to walkChunmei Yang0Xianglong Tang1Linchuan Yang2School of Physical Education, Southwest Jiaotong University, Chengdu, ChinaDepartment of Urban and Rural Planning, School of Architecture, Southwest Jiaotong University, Chengdu, ChinaDepartment of Urban and Rural Planning, School of Architecture, Southwest Jiaotong University, Chengdu, ChinaPopulation aging has become a severe issue facing most nations and areas worldwide—with Hong Kong being no exception. For older adults, walking is among the most well-liked travel modes, boosting their overall health and wellbeing. Some studies have confirmed that the built environment has a significant (spatially fixed) influence on older adults' walking behavior. However, little consideration has been given to the potential spatial heterogeneity in such influences. Hence, this study extracted data on older adults' (outdoor) walking behavior from the 2011 Hong Kong Travel Characteristics Survey and measured a series of built environment attributes based on geo-data (e.g., Google Street View imagery). Logistic regression and geographically weighted logistic regression models were developed to unveil the complicated (including spatially fixed and heterogeneous) association between the built environment and older adults' propensity to walk. We show that population density, land-use mix, street greenery, and access to bus stops are positively connected with the propensity to walk of older adults. Intersection density seems to impact walking propensity insignificantly. All built environment attributes have spatially heterogeneous effects on older adults' walking behavior. The percentage of deviance explained is heterogeneously distributed across space.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003791/fullpopulation agingphysical environmentstreet greenerywalking behaviortravel behaviorgeographically weighted regression |
| spellingShingle | Chunmei Yang Xianglong Tang Linchuan Yang Spatially varying associations between the built environment and older adults' propensity to walk Frontiers in Public Health population aging physical environment street greenery walking behavior travel behavior geographically weighted regression |
| title | Spatially varying associations between the built environment and older adults' propensity to walk |
| title_full | Spatially varying associations between the built environment and older adults' propensity to walk |
| title_fullStr | Spatially varying associations between the built environment and older adults' propensity to walk |
| title_full_unstemmed | Spatially varying associations between the built environment and older adults' propensity to walk |
| title_short | Spatially varying associations between the built environment and older adults' propensity to walk |
| title_sort | spatially varying associations between the built environment and older adults propensity to walk |
| topic | population aging physical environment street greenery walking behavior travel behavior geographically weighted regression |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1003791/full |
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