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Older Adults’ Choice of Patterns of Outdoor Physical Activity Duration: A Mixed Multinomial Logit Model

Author

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  • Zhengying Liu

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Wenli Huang

    (Systemic Change, Department of Industrial Design, Eindhoven University of Technology, P.O. Box 513, 5600MB Eindhoven, The Netherlands
    Department of Product Design, College of Art and Design, Hubei Engineering University, 272 Jiaotong Road, Xiaogan 432000, China)

  • Yuan Lu

    (Systemic Change, Department of Industrial Design, Eindhoven University of Technology, P.O. Box 513, 5600MB Eindhoven, The Netherlands)

  • You Peng

    (Urban Planning and Transportation, Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, 5600MB Eindhoven, The Netherlands)

Abstract

Outdoor physical activity duration is a key component of outdoor physical activity behavior of older adults, and therefore, an important determinant of their total physical activity levels. In order to develop a successful outdoor physical activity program, it is important to identify any heterogeneity in preferences for outdoor physical activity duration patterns among older adults. In addition, more insight is needed in the influence of environmental characteristics on duration choice for creating supportive neighborhood environments matching individuals’ preferences. To this end, a mixed multinomial logit model is estimated based on one-week data collected among 336 respondents aged 60 or over in 2017 in Dalian, China. The present model formulation accounts for heterogeneity in individuals’ preferences and allows for the analysis of substitution and complementary relationships between the different patterns of outdoor physical activity duration. Results indicate that older adults vary significantly in their preferences for each outdoor physical activity duration pattern. Moreover, short walking duration, short exercise duration and medium exercise duration are substitutes for medium walking duration while short walking duration and short exercise duration are complements for medium exercise duration in terms of individuals’ outdoor physical activity duration preferences. In addition, we find that distance to the nearest park, footpath conditions and neighborhood aesthetics are associated with older adults’ outdoor physical activity duration choice.

Suggested Citation

  • Zhengying Liu & Wenli Huang & Yuan Lu & You Peng, 2021. "Older Adults’ Choice of Patterns of Outdoor Physical Activity Duration: A Mixed Multinomial Logit Model," IJERPH, MDPI, vol. 18(15), pages 1-13, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8199-:d:607252
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    References listed on IDEAS

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    1. Giles-Corti, Billie & Bull, Fiona & Knuiman, Matthew & McCormack, Gavin & Van Niel, Kimberly & Timperio, Anna & Christian, Hayley & Foster, Sarah & Divitini, Mark & Middleton, Nick & Boruff, Bryan, 2013. "The influence of urban design on neighbourhood walking following residential relocation: Longitudinal results from the RESIDE study," Social Science & Medicine, Elsevier, vol. 77(C), pages 20-30.
    2. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, October.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    4. Michael, Y.L. & Perdue, L.A. & Orwoll, E.S. & Stefanick, M.L. & Marshall, L.M., 2010. "Physical activity resources and changes in walking in a cohort of older men," American Journal of Public Health, American Public Health Association, vol. 100(4), pages 654-660.
    5. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    6. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    7. Liu, Zhengying & Kemperman, Astrid & Timmermans, Harry & Yang, Dongfeng, 2021. "Heterogeneity in physical activity participation of older adults: A latent class analysis," Journal of Transport Geography, Elsevier, vol. 92(C).
    8. Sara Wilcox & Melissa Bopp & Larissa Oberrecht & Sandra K. Kammermann & Charles T. McElmurray, 2003. "Psychosocial and Perceived Environmental Correlates of Physical Activity in Rural and Older African American and White Women," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 329-337.
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    1. Peng Zang & Fei Xian & Hualong Qiu & Shifa Ma & Hongxu Guo & Mengrui Wang & Linchuan Yang, 2022. "Differences in the Correlation between the Built Environment and Walking, Moderate, and Vigorous Physical Activity among the Elderly in Low- and High-Income Areas," IJERPH, MDPI, vol. 19(3), pages 1-15, February.
    2. Aqeela Zahra & Muhammad Shehzad Hassan & Jae-Hyun Park & Sehar-un-Nisa Hassan & Nuzhat Parveen, 2022. "Role of Environmental Quality of Life in Physical Activity Status of Individuals with and without Physical Disabilities in Saudi Arabia," IJERPH, MDPI, vol. 19(7), pages 1-11, April.
    3. Dan Li & Haiyun Xu & Yue Kang & Koen Steemers, 2023. "Systematic Review: Landscape Characteristics Correlated with Physical Activity of the Elderly People," Land, MDPI, vol. 12(3), pages 1-18, March.

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