IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v63y2017icp11-21.html
   My bibliography  Save this article

Built environmental impacts on individual mode choice and BMI: Evidence from China

Author

Listed:
  • Sun, Bindong
  • Yan, Hong
  • Zhang, Tinglin

Abstract

Using data from China Family Panel Studies (CFPS), this paper examines the impacts of the built environment on individual BMI and the risk of overweight, directly and indirectly mediated by mode choice with structural equation model (SEM). The results suggest that population density and facilities accessibility are positively associated with individual BMI and distance to the nearest bus stop is negatively associated, both directly and totally, differing from the mainstream views of Western developed countries. Thus, Chinese healthy policies should orient itself toward improving the walkability and cycling-friendliness of open spaces rather than increasing density and facilities accessibility of communities as Western developed countries did.

Suggested Citation

  • Sun, Bindong & Yan, Hong & Zhang, Tinglin, 2017. "Built environmental impacts on individual mode choice and BMI: Evidence from China," Journal of Transport Geography, Elsevier, vol. 63(C), pages 11-21.
    • Handle: RePEc:eee:jotrge:v:63:y:2017:i:c:p:11-21
    DOI: 10.1016/j.jtrangeo.2017.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692316307323
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2017.07.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Lopez, R., 2004. "Urban sprawl and risk for being overweight or obese," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1574-1579.
    3. Sallis, James F. & Saelens, Brian E. & Frank, Lawrence D. & Conway, Terry L. & Slymen, Donald J. & Cain, Kelli L. & Chapman, James E. & Kerr, Jacqueline, 2009. "Neighborhood built environment and income: Examining multiple health outcomes," Social Science & Medicine, Elsevier, vol. 68(7), pages 1285-1293, April.
    4. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    5. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    6. Ann Forsyth & J. Michael Oakes & Kathryn H. Schmitz & Mary Hearst, 2007. "Does Residential Density Increase Walking and Other Physical Activity?," Urban Studies, Urban Studies Journal Limited, vol. 44(4), pages 679-697, April.
    7. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    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. Gupta, Akshay & Bivina, G.R. & Parida, Manoranjan, 2022. "Does neighborhood design matter for walk access to metro stations? An integrated SEM-Hybrid discrete mode choice approach," Transport Policy, Elsevier, vol. 121(C), pages 61-77.
    2. 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.
    3. Qikang Zhong & Bo Li & Yue Chen, 2022. "How Do Different Urban Footpath Environments Affect the Jogging Preferences of Residents of Different Genders? Empirical Research Based on Trajectory Data," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    4. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chengxiang Zhuge, 2018. "Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model: A Case Study of Changchun, China," IJERPH, MDPI, vol. 15(9), pages 1-14, August.
    6. Chaoying Yin & Xiaoquan Wang & Chunfu Shao & Jianxiao Ma, 2022. "Exploring the Relationship between Built Environment and Commuting Mode Choice: Longitudinal Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    7. Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.
    8. Tingting Lu & Matthew Lane & Dan Van der Horst & Xin Liang & Jianing Wu, 2020. "Exploring the Impacts of Living in a “Green” City on Individual BMI: A Study of Lingang New Town in Shanghai, China," IJERPH, MDPI, vol. 17(19), pages 1-15, September.
    9. Zhu, Pengyu & Zhao, Songnian & Jiang, Yanpeng, 2022. "Residential segregation, built environment and commuting outcomes: Experience from contemporary China," Transport Policy, Elsevier, vol. 116(C), pages 269-277.
    10. Fang, Zhenyuan & Zhu, Shichao & Fu, Xin & Liu, Fang & Huang, Helai & Tang, Jinjun, 2022. "Multivariate analysis of traffic flow using copula-based model at an isolated road intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    11. Lin Zhang & Suhong Zhou & Lanlan Qi & Yue Deng, 2022. "Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    12. Yinhua Tao & Jie Yang & Yanwei Chai, 2019. "The Anatomy of Health-Supportive Neighborhoods: A Multilevel Analysis of Built Environment, Perceived Disorder, Social Interaction and Mental Health in Beijing," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    13. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    14. Chun Yin & Bindong Sun, 2020. "Does Compact Built Environment Help to Reduce Obesity? Influence of Population Density on Waist–Hip Ratio in Chinese Cities," IJERPH, MDPI, vol. 17(21), pages 1-16, October.
    15. Pengxiang Zhao & Mei-Po Kwan & Suhong Zhou, 2018. "The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou," IJERPH, MDPI, vol. 15(2), pages 1-20, February.

    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. 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.
    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. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    4. Winters, Meghan & Voss, Christine & Ashe, Maureen C. & Gutteridge, Kaitlyn & McKay, Heather & Sims-Gould, Joanie, 2015. "Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment," Social Science & Medicine, Elsevier, vol. 133(C), pages 304-312.
    5. Gerlinde Grasser & Delfien Dyck & Sylvia Titze & Willibald Stronegger, 2013. "Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 615-625, August.
    6. Cho, Gi-Hyoug & Rodríguez, Daniel A., 2014. "The influence of residential dissonance on physical activity and walking: evidence from the Montgomery County, MD, and Twin Cities, MN, areas," Journal of Transport Geography, Elsevier, vol. 41(C), pages 259-267.
    7. De Meester, Femke & Van Dyck, Delfien & De Bourdeaudhuij, Ilse & Deforche, Benedicte & Cardon, Greet, 2013. "Do psychosocial factors moderate the association between neighborhood walkability and adolescents' physical activity?," Social Science & Medicine, Elsevier, vol. 81(C), pages 1-9.
    8. Dagmar Sigmundová & Walid El Ansari & Erik Sigmund, 2011. "Neighbourhood Environment Correlates of Physical Activity: A Study of Eight Czech Regional Towns," IJERPH, MDPI, vol. 8(2), pages 1-17, January.
    9. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    10. Young-Jae Kim & Ayoung Woo, 2016. "What’s the Score? Walkable Environments and Subsidized Households," Sustainability, MDPI, vol. 8(4), pages 1-20, April.
    11. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    12. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    13. Schneider, Robert James, 2011. "Understanding Sustainable Transportation Choices: Shifting Routine Automobile Travel to Walking and Bicycling," University of California Transportation Center, Working Papers qt06v2g6dh, University of California Transportation Center.
    14. Li, Jingjing & Auchincloss, Amy H. & Yang, Yong & Rodriguez, Daniel A. & Sánchez, Brisa N., 2020. "Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    15. Guimpert, Ignacio & Hurtubia, Ricardo, 2018. "Measuring, understanding and modelling the Walking Neighborhood as a function of built environment and socioeconomic variables," Journal of Transport Geography, Elsevier, vol. 71(C), pages 32-44.
    16. Anura Amarasinghe & Gerard D'Souza & Cheryl Brown & Tatiana Borisova, 2006. "A Spatial Analysis of Obesity in West Virginia," Working Papers Working Paper 2006-13, Regional Research Institute, West Virginia University.
    17. Hamdi Lemamsha & Chris Papadopoulos & Gurch Randhawa, 2018. "Perceived Environmental Factors Associated with Obesity in Libyan Men and Women," IJERPH, MDPI, vol. 15(2), pages 1-16, February.
    18. Eric T. H. Chan & Tim Schwanen & David Banister, 2021. "The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China," Transportation, Springer, vol. 48(1), pages 431-454, February.
    19. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    20. repec:rri:wpaper:200613 is not listed on IDEAS
    21. David Gálvez Ruiz & Pilar Diaz Cuevas & Olta Braçe & Marco Garrido-Cumbrera, 2018. "Developing an Index to Measure Sub-municipal Level Urban Sprawl," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 929-952, December.

    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:eee:jotrge:v:63:y:2017:i:c:p:11-21. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.