IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v6y2014i6p3599-3614d36777.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/6/6/3599/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/6/6/3599/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wendan Zhang & Jian Lu & Ping Xu & Yi Zhang, 2015. "Moving towards Sustainability: Road Grades and On-Road Emissions of Heavy-Duty Vehicles—A Case Study," Sustainability, MDPI, vol. 7(9), pages 1-28, September.
    2. 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.
    3. 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.
    4. 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.
    5. Yi Zhang & Xiaoguang Yang & Qixing Liu & Chaoyang Li, 2015. "Who Will Use Pre-Trip Traveler Information and How Will They Respond? Insights from Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 7(5), pages 1-18, May.
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Feuillet, T. & Commenges, H. & Menai, M. & Salze, P. & Perchoux, C. & Reuillon, R. & Kesse-Guyot, E. & Enaux, C. & Nazare, J.-A. & Hercberg, S. & Simon, C. & Charreire, H. & Oppert, J.M., 2018. "A massive geographically weighted regression model of walking-environment relationships," Journal of Transport Geography, Elsevier, vol. 68(C), pages 118-129.
    4. Lanjing Wang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Yi Zhang, 2021. "Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model," IJERPH, MDPI, vol. 18(18), pages 1-22, September.
    5. Kevin Credit & Elizabeth Mack, 2019. "Place-making and performance: The impact of walkable built environments on business performance in Phoenix and Boston," Environment and Planning B, , vol. 46(2), pages 264-285, February.
    6. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chengxiang Zhuge & Wenjun Li, 2018. "Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    7. Fernando Fonseca & Escolástica Fernandes & Rui Ramos, 2022. "Walkable Cities: Using the Smart Pedestrian Net Method for Evaluating a Pedestrian Network in Guimarães, Portugal," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    8. Zimu Jia & Long Chen & Jingjia Chen & Guowei Lyu & Ding Zhou & Ying Long, 2020. "Urban modeling for streets using vector cellular automata: Framework and its application in Beijing," Environment and Planning B, , vol. 47(8), pages 1418-1439, October.
    9. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    10. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.
    11. Bojing Liao & Yifan Xu & Xiang Li & Ji Li, 2022. "Association between Campus Walkability and Affective Walking Experience, and the Mediating Role of Walking Attitude," IJERPH, MDPI, vol. 19(21), pages 1-13, November.
    12. Qinglin Jia & Tao Zhang & Long Cheng & Gang Cheng & Minjie Jin, 2022. "The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    13. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    14. Otsuka, Noriko & Wittowsky, Dirk & Damerau, Marlene & Gerten, Christian, 2021. "Walkability assessment for urban areas around railway stations along the Rhine-Alpine Corridor," Journal of Transport Geography, Elsevier, vol. 93(C).
    15. Peiravian, Farideddin & Derrible, Sybil & Ijaz, Farukh, 2014. "Development and application of the Pedestrian Environment Index (PEI)," Journal of Transport Geography, Elsevier, vol. 39(C), pages 73-84.
    16. Rongrong Zhang & Song Liu & Ming Li & Xiong He & Chunshan Zhou, 2021. "The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China," IJERPH, MDPI, vol. 18(19), pages 1-22, September.
    17. Shima Hamidi & Somayeh Moazzeni, 2019. "Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    18. Arlie Adkins & Carrie Makarewicz & Michele Scanze & Maia Ingram & Gretchen Luhr, 2017. "Contextualizing Walkability: Do Relationships Between Built Environments and Walking Vary by Socioeconomic Context?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(3), pages 296-314, July.
    19. Mohammad Paydar & Asal Kamani Fard, 2021. "The Contribution of Mobile Apps to the Improvement of Walking/Cycling Behavior Considering the Impacts of COVID-19 Pandemic," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    20. Young-Jae Kim & Ayoung Woo, 2016. "What’s the Score? Walkable Environments and Subsidized Households," Sustainability, MDPI, vol. 8(4), pages 1-20, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3599-3614:d:36777. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.