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Eye-Level Street Greenery and Walking Behaviors of Older Adults

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  • Peng Zang

    (Department of Architecture and Urban Planning, Guangdong University of Technology,729 Dongfeng E Rd, Guangzhou 510006, China)

  • Xuhong Liu

    (Department of Architecture and Urban Planning, Guangdong University of Technology,729 Dongfeng E Rd, Guangzhou 510006, China)

  • Yabo Zhao

    (Department of Architecture and Urban Planning, Guangdong University of Technology,729 Dongfeng E Rd, Guangzhou 510006, China)

  • Hongxu Guo

    (Department of Architecture and Urban Planning, Guangdong University of Technology,729 Dongfeng E Rd, Guangzhou 510006, China)

  • Yi Lu

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon B6322, Hong Kong)

  • Charlie Q. L. Xue

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon B6322, Hong Kong)

Abstract

Evidence suggests that built environment characteristics affect older adults’ travel activity behaviors, e.g., walking and cycling, which have well-established health benefits. However, the relationship between urban greenery and walking behaviors remains unclear, partly due to methodological limitation. Previous studies often measured urban greenery from a bird’s eye perspective, which may mismatch with the pedestrian’s perception from the street. In this study, we measured greenery view index from eye-level streetscape photos retrieved from Baidu Street View, an online mapping service provider. Walking behaviors of 180 older adults in six neighborhoods were collected from questionnaires. We also measured land use diversity, pedestrian-oriented design (street connectivity), and population density—the three Ds of the built environment. Results show that street greenery view index contributes to walking time of older adults, suggesting street greenery should be taken into design consideration to promote walking behaviors of older adults.

Suggested Citation

  • Peng Zang & Xuhong Liu & Yabo Zhao & Hongxu Guo & Yi Lu & Charlie Q. L. Xue, 2020. "Eye-Level Street Greenery and Walking Behaviors of Older Adults," IJERPH, MDPI, vol. 17(17), pages 1-9, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6130-:d:402965
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    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Yeran Sun & Yunyan Du & Yu Wang & Liyuan Zhuang, 2017. "Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data," IJERPH, MDPI, vol. 14(6), pages 1-12, June.
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    Cited by:

    1. Muhan Lv & Ningcheng Wang & Shenjun Yao & Jianping Wu & Lei Fang, 2021. "Towards Healthy Aging: Influence of the Built Environment on Elderly Pedestrian Safety at the Micro-Level," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    2. Peng Zang & Hualong Qiu & Fei Xian & Linchuan Yang & Yanan Qiu & Hongxu Guo, 2022. "Nonlinear Effects of the Built Environment on Light Physical Activity among Older Adults: The Case of Lanzhou, China," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    3. Arjan S. Walia & Abby C. King & Maria I. Campero & Dulce M. Garcia & Rebecca E. Lee & Astrid N. Zamora, 2024. "Exploring the Relationship between Built Environment Attributes and Physical Activity in Lower-Income Aging Adults: Preliminary Insights from a Multi-Level Trial," IJERPH, MDPI, vol. 21(5), pages 1-17, May.
    4. Yang, Wei & Hu, Jie & Liu, Yong & Guo, Wenbo, 2023. "Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis," Journal of Transport Geography, Elsevier, vol. 108(C).
    5. Duncan, Michael, 2023. "The influence of pedestrian plans on walk commuting in US municipalities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).

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