IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p945-d316062.html
   My bibliography  Save this article

Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012

Author

Listed:
  • Weiyan Gong

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Fan Yuan

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ganyu Feng

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Yanning Ma

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Yan Zhang

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Caicui Ding

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Zheng Chen

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ailing Liu

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

Abstract

Giving the rising trends in obesity and chronic diseases in China, strategies to increase physical activity are important. Transport-related activity is a substantial source of physical activity and can be easily incorporated into the daily lives. It is a key social factor of health, which can help improve people’s mental and physical health and decrease environmental pollution. However, little is known about recent trends in transportation modes and time in China. Between 2002 and 2010–2012, information about transportation behaviors of Chinese population aged 15 years or older were collected within two Chinese Nutrition and Health Surveys. A stratified multistage cluster sampling method was conducted to select participants. Sociodemographic information, transportation modes, and time were collected during face-to-face interviews. The study included 82,377 (mean age 41.2 years) and 143,075 (mean age 48.7 years) participants in the 2002 and 2010–2012 surveys respectively. The weighted prevalence of active transportation (including walking and cycling) decreased from 83.8% in 2002 to 54.3% in 2010–2012 ( p < 0.001). During the same period, the number of participants using public transportation (including taking the bus, subway, or shuttle bus) has doubled (7.5% and 15.7%, respectively, for 2002 and 2010–2012, ( p < 0.001)), and the proportion of inactive transportation (including driving or taking a car, motorcycle, taxi, or electric bicycle) more than tripled. Concurrently, the transportation time almost doubled with an increase of 25.9 min over the 10 years ( p < 0.001). The prevalence of active transportation increased with age. Participants with higher family income and education reported a lower prevalence of active transportation. Females were more likely to use active transportation (OR (95% CI): 4.41 (4.14–4.70) and 2.50 (2.44–2.57), respectively, for 2002 and 2010–2012, where males were the reference). Before the prevalence of active transportation and physical activity gets lower, there is a need for the public health sector and the transport and land use sector to work together to develop related policies and initiatives with the aim of promoting active transportation and public transportation to increase the levels of physical activity and to decrease the risks of chronic diseases.

Suggested Citation

  • Weiyan Gong & Fan Yuan & Ganyu Feng & Yanning Ma & Yan Zhang & Caicui Ding & Zheng Chen & Ailing Liu, 2020. "Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:945-:d:316062
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/945/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/945/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bryn Pinkerton & Andrei Rosu & Ian Janssen & William Pickett, 2013. "Active Transportation Safety Features around Schools in Canada," IJERPH, MDPI, vol. 10(11), pages 1-15, October.
    2. Pucher, J. & Buehler, R. & Merom, D. & Bauman, A., 2011. "Walking and cycling in the United States, 2001-2009: Evidence from the National Household Travel Surveys," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 310-317.
    3. Anil Markandaya & Ben Armstrong & Simon Hales & Aline Chiabai & Patrick Criqui & Silvana Mima, 2009. "Impact on public health of strategies to reduce greenhouse gases : low carbon electricity generation," Post-Print halshs-00459664, HAL.
    4. Yanyong Guo & Jibiao Zhou & Yao Wu & Zhibin Li, 2017. "Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    5. Yung Liao & I-Ting Wang & Hsiu-Hua Hsu & Shao-Hsi Chang, 2015. "Perceived Environmental and Personal Factors Associated with Walking and Cycling for Transportation in Taiwanese Adults," IJERPH, MDPI, vol. 12(2), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

    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. Chien-Yu Lin & Jong-Hwan Park & Ming-Chun Hsueh & Wen-Jung Sun & Yung Liao, 2018. "Prevalence of Total Physical Activity, Muscle-Strengthening Activities, and Excessive TV Viewing among Older Adults; and Their Association with Sociodemographic Factors," IJERPH, MDPI, vol. 15(11), pages 1-9, November.
    2. Courtney Coughenour & Hanns de la Fuente-Mella & Alexander Paz, 2019. "Analysis of Self-Reported Walking for Transit in a Sprawling Urban Metropolitan Area in the Western U.S," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    3. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    4. Marquet, Oriol & Miralles-Guasch, Carme, 2015. "Neighbourhood vitality and physical activity among the elderly: The role of walkable environments on active ageing in Barcelona, Spain," Social Science & Medicine, Elsevier, vol. 135(C), pages 24-30.
    5. Lukuman Wahab & Haobin Jiang, 2019. "A comparative study on machine learning based algorithms for prediction of motorcycle crash severity," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-17, April.
    6. Rupi, Federico & Freo, Marzia & Poliziani, Cristian & Postorino, Maria Nadia & Schweizer, Joerg, 2023. "Analysis of gender-specific bicycle route choices using revealed preference surveys based on GPS traces," Transport Policy, Elsevier, vol. 133(C), pages 1-14.
    7. Yung Liao & Chien-Yu Lin & Ting-Fu Lai & Yen-Ju Chen & Bohyeon Kim & Jong-Hwan Park, 2019. "Walk Score ® and Its Associations with Older Adults’ Health Behaviors and Outcomes," IJERPH, MDPI, vol. 16(4), pages 1-12, February.
    8. Álvaro Aguilera-García & Juan Gomez & Natalia Sobrino & Juan José Vinagre Díaz, 2021. "Moped Scooter Sharing: Citizens’ Perceptions, Users’ Behavior, and Implications for Urban Mobility," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    9. Solange Gould & Linda Rudolph, 2015. "Challenges and Opportunities for Advancing Work on Climate Change and Public Health," IJERPH, MDPI, vol. 12(12), pages 1-24, December.
    10. Dandan Xu & Yang Bian & Shinan Shu, 2020. "Research on the Psychological Model of Free-floating Bike-Sharing Using Behavior: A Case Study of Beijing," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    11. Shreya S. Shrikhande & Sonja Merten & Olga Cambaco & Tristan Lee & Ravivarman Lakshmanasamy & Martin Röösli & Mohammad Aqiel Dalvie & Jürg Utzinger & Guéladio Cissé, 2023. "“Climate Change and Health?”: Knowledge and Perceptions among Key Stakeholders in Puducherry, India," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
    12. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.
    13. Jina Mahmoudi & Lei Zhang, 2022. "Health Impacts of the Built and Social Environments, and Travel Behavior: The Case of the Sunshine State," IJERPH, MDPI, vol. 19(15), pages 1-42, July.
    14. Amy Lubitow & Bryan Zinschlag & Nathan Rochester, 2016. "Plans for pavement or for people? The politics of bike lanes on the ‘Paseo Boricua’ in Chicago, Illinois," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2637-2653, September.
    15. Christina Zapata & Nicholas Muller & Michael Kleeman, 2013. "PM 2.5 co-benefits of climate change legislation part 1: California’s AB 32," Climatic Change, Springer, vol. 117(1), pages 377-397, March.
    16. Zhao, Chunkai & Wang, Yuhang & Ge, Zhenyu, 2023. "Is digital finance environmentally friendly in China? Evidence from shared-bike trips," Transport Policy, Elsevier, vol. 138(C), pages 129-143.
    17. Lixuan Zhao & Dewei Fang & Yang Cao & Shan Sun & Liu Han & Yang Xue & Qian Zheng, 2023. "Impact-Asymmetric Analysis of Bike-Sharing Residents’ Satisfaction: A Case Study of Harbin, China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    18. Xuefang Li & Chenhui Liu & Jianmin Jia, 2019. "Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    19. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    20. Jia, Yingnan & Fu, Hua, 2019. "Association between innovative dockless bicycle sharing programs and adopting cycling in commuting and non-commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 12-21.

    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:jijerp:v:17:y:2020:i:3:p:945-:d:316062. 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.