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Household, Personal and Environmental Correlates of Rural Elderly’s Cycling Activity: Evidence from Zhongshan Metropolitan Area, China

Author

Listed:
  • Yi Zhang

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240 Shanghai, China)

  • Xiaoguang Yang

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 1239 Siping Road, 200092 Shanghai, China)

  • Yuan Li

    (School of Architecture and Civil Engineering, Xiamen University, 422 South Siming Road, 361005 Xiamen, China)

  • Qixing Liu

    (Rotterdam School of Management, Erasmus University, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Netherlands)

  • Chaoyang Li

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240 Shanghai, China)

Abstract

Cycling is an important form of active transport and physical activity to provide substantial health benefits to the elderly. Among voluminous physical activity-related literature, few studies have investigated the correlates of active transport of the rural elderly in China. This study was the first attempt to investigate the impact of the household, personal, and environmental attributes on rural elderly’s cycling activity with data collected in 102 rural neighborhoods of Zhongshan Metropolitan Area, China. The negative binomial regression models suggest that, all else being equal, living in a neighborhood with low proportion of elderly population (over 60), abundant bike lanes, and a compact urban form related to high density and mixed development, are associated with the increase of frequency and duration of the rural elderly’s cycling trips. The models also detect that attitude towards cycling and household bicycle and motorized vehicle ownership are strongly related to cycling trips of the rural elderly in Zhongshan. The findings provide insights for transportation and public health agencies, practitioners, and researchers into the effective design of interventions from the prospective of attitudes, social and built environment on health promotion of the rural elderly in China.

Suggested Citation

  • Yi Zhang & Xiaoguang Yang & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Household, Personal and Environmental Correlates of Rural Elderly’s Cycling Activity: Evidence from Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(6), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3599-3614:d:36777
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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. Clark, Andrew F. & Scott, Darren M., 2013. "Does the social environment influence active travel? An investigation of walking in Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 31(C), pages 278-285.
    3. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    4. Srinivasan, S. & O'Fallon, L.R. & Dearry, A., 2003. "Creating Healthy Communities, Healthy Homes, Healthy People: Initiating a Research Agenda on the Built Environment and Public Health," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1446-1450.
    5. Luis Martínez & José Viegas & Elisabete Silva, 2009. "A traffic analysis zone definition: a new methodology and algorithm," Transportation, Springer, vol. 36(5), pages 581-599, September.
    6. Hannah M. Badland & Nick Garrett & Grant M. Schofield, 2010. "How Does Car Parking Availability and Public Transport Accessibility Influence Work-Related Travel Behaviors?," Sustainability, MDPI, vol. 2(2), pages 1-15, February.
    7. Riva, Mylene & Gauvin, Lise & Apparicio, Philippe & Brodeur, Jean-Marc, 2009. "Disentangling the relative influence of built and socioeconomic environments on walking: The contribution of areas homogenous along exposures of interest," Social Science & Medicine, Elsevier, vol. 69(9), pages 1296-1305, November.
    8. Yi Zhang & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "The Built Environment and Walking Activity of the Elderly: An Empirical Analysis in the Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(2), pages 1-17, February.
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    Cited by:

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    3. Wenxiao Wang & Yi Zhang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Lanjing Wang, 2021. "Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    4. Yi Zhang & Wei Wu & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Does the Built Environment Make a Difference? An Investigation of Household Vehicle Use in Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(8), pages 1-21, August.
    5. Paola Di Mascio & Gaetano Fusco & Giorgio Grappasonni & Laura Moretti & Antonella Ragnoli, 2018. "Geometrical and Functional Criteria as a Methodological Approach to Implement a New Cycle Path in an Existing Urban Road Network: A Case Study in Rome," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    6. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    7. Wenzhi Liu & Huapu Lu & Zhiyuan Sun & Jing Liu, 2017. "Elderly’s Travel Patterns and Trends: The Empirical Analysis of Beijing," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    8. Verma, Meghna & Rahul, T.M. & Vinayak, Pragun & Verma, Ashish, 2018. "Influence of childhood and adulthood attitudinal perceptions on bicycle usage in the Bangalore city," Journal of Transport Geography, Elsevier, vol. 72(C), pages 94-105.

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