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A Space-Time Analysis of Rural Older People’s Outdoor Mobility and Its Impact on Self-Rated Health: Evidence from a Taiwanese Rural Village

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  • Tzuyuan Stessa Chao

    (Department of Urban Planning, College of Planning and Design, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Xiaoqin Jiang

    (Department of Urban Planning, College of Planning and Design, National Cheng Kung University, Tainan City 70101, Taiwan
    School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China)

  • Yi Sun

    (Department of Building and Real Estate, Hong Kong Polytechnic University, Kowloon, Hong Kong)

  • Jheng-Ze Yu

    (Department of Urban Planning, College of Planning and Design, National Cheng Kung University, Tainan City 70101, Taiwan)

Abstract

With the aggravation of rural aging, the well-being and self-rated health level of older people in rural communities are significantly lower than those in urban communities. Past studies hold that mobility is essential to the quality of life of the elderly, and well-being depends on their own adaptation strategies in the built environment. Therefore, this study combines three key factors related to active aging: environment, health and mobility, and assumes that the elderly with good health status will have environmental proactivity and a wider range of daily mobility in a poor rural built environment. This study attempts to track daily mobility by using a space–time path method in time geography and then to explore the relationship between outdoor mobility and older people’s self-rated health. A 1-week mobility path survey for 20 senior citizens of Xishi Village, a typical rural village in Taiwan, was conducted by wearing a GPS sports watch. A questionnaire survey and in-depth interviews were done to provide more information about the seniors’ personal backgrounds and lifestyles. The results show that when the built environment is unfit to the needs of daily activities, half of the participants can make adjustment strategies to go beyond the neighborhoods defined by administrative units. Correlation analysis demonstrated that mental health is associated with daily moving time and distance. In addition, men have higher self-rated health scores than women, and there are significant statistical differences between married and widowed seniors in daily outing time and distance. This exploratory study suggests that in future research on rural health and active aging in rural areas, understanding the daily outdoor mobility of the elderly can help to assess their health status and living demands and quickly find out whether there is a lack of rural living services or environmental planning.

Suggested Citation

  • Tzuyuan Stessa Chao & Xiaoqin Jiang & Yi Sun & Jheng-Ze Yu, 2021. "A Space-Time Analysis of Rural Older People’s Outdoor Mobility and Its Impact on Self-Rated Health: Evidence from a Taiwanese Rural Village," IJERPH, MDPI, vol. 18(11), pages 1-18, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5902-:d:566278
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    1. Rafael E. Reigal & José A. Páez-Maldonado & José L. Pastrana-Brincones & Juan P. Morillo-Baro & Antonio Hernández-Mendo & Verónica Morales-Sánchez, 2021. "Physical Activity Is Related to Mood States, Anxiety State and Self-Rated Health in COVID-19 Lockdown," Sustainability, MDPI, vol. 13(10), pages 1-10, May.
    2. Luis Camarero & Jesús Oliva, 2019. "Thinking in rural gap: mobility and social inequalities," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    3. Susanne Nordbakke & Tim Schwanen, 2014. "Well-being and Mobility: A Theoretical Framework and Literature Review Focusing on Older People," Mobilities, Taylor & Francis Journals, vol. 9(1), pages 104-129, February.
    4. Sonja Haustein & Anu Siren, 2015. "Older People's Mobility: Segments, Factors, Trends," Transport Reviews, Taylor & Francis Journals, vol. 35(4), pages 466-487, July.
    5. Timothée Cuignet & Camille Perchoux & Geoffrey Caruso & Olivier Klein & Sylvain Klein & Basile Chaix & Yan Kestens & Philippe Gerber, 2020. "Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 383-401, February.
    6. Franke, Thea & Winters, Meghan & McKay, Heather & Chaudhury, Habib & Sims-Gould, Joanie, 2017. "A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility," Social Science & Medicine, Elsevier, vol. 193(C), pages 59-69.
    7. Erin York Cornwell & Kathleen A Cagney, 2017. "Aging in Activity Space: Results From Smartphone-Based GPS-Tracking of Urban Seniors," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 864-875.
    8. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    9. Mario U Pérez-Zepeda & Emmanuelle Belanger & Maria–Victoria Zunzunegui & Susan Phillips & Alban Ylli & Jack Guralnik, 2016. "Assessing the Validity of Self-Rated Health with the Short Physical Performance Battery: A Cross-Sectional Analysis of the International Mobility in Aging Study," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-11, April.
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