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A Schematic for Focusing on Youth in Investigations of Community Design and Physical Activity

Author

Listed:
  • Kevin Krizek
  • Amanda Birnbaum
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This paper provides a first step to address special considerations for youth in a relatively new area of physical activity research. After reviewing the urgent need for novel approaches to increasing physical activity, the growing interest in the effects of community design is discussed. Although most discussion on this topic has focused on adults, there are important differences between youth and adults that warrant a special focus on youth and need to be accounted for. This article presents a schematic that accounts for how and where youth spend their time, decomposing the day into time spent in travel and time spent at destinations, and identifying portions of those times that are spent engaged in physical activity. By focusing on both spatial and behavioral dimensions of youth time, the schematic may help organize and advance scientific inquiry into the relationships between community design and physical activity specifically for youth.

Suggested Citation

  • Kevin Krizek & Amanda Birnbaum & David Levinson, 2004. "A Schematic for Focusing on Youth in Investigations of Community Design and Physical Activity," Working Papers 200408, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:youth
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    File URL: http://hdl.handle.net/11299/179920
    File Function: First version, 2007
    Download Restriction: no
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    Citations

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    Cited by:

    1. Amy Hillier, 2008. "Childhood Overweight and the Built Environment: Making Technology Part of the Solution rather than Part of the Problem," The ANNALS of the American Academy of Political and Social Science, , vol. 615(1), pages 56-82, January.
    2. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    3. Pamela Wridt, 2010. "A Qualitative GIS Approach to Mapping Urban Neighborhoods with Children to Promote Physical Activity and Child-Friendly Community Planning," Environment and Planning B, , vol. 37(1), pages 129-147, February.
    4. Graham Mecredy & William Pickett & Ian Janssen, 2011. "Street Connectivity is Negatively Associated with Physical Activity in Canadian Youth," IJERPH, MDPI, vol. 8(8), pages 1-18, August.
    5. Qiang Wang & Jiameng Ma & Kenji Harada & Shiho Kobayashi & Hiroko Sano & Hyunshik Kim, 2021. "Associations among Outdoor Playtime, Screen Time, and Environmental Factors in Japanese Preschoolers: The ‘Eat, Be Active, and Sleep Well’ Study," Sustainability, MDPI, vol. 13(22), pages 1-13, November.
    6. Ipek Sener & Rachel Copperman & Ram Pendyala & Chandra Bhat, 2008. "An analysis of children’s leisure activity engagement: examining the day of week, location, physical activity level, and fixity dimensions," Transportation, Springer, vol. 35(5), pages 673-696, August.
    7. Ann Forsyth & Mary Hearst & J. Michael Oakes & Kathryn H. Schmitz, 2008. "Design and Destinations: Factors Influencing Walking and Total Physical Activity," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1973-1996, August.

    More about this item

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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