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Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS)

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  • Cain, Kelli L.
  • Millstein, Rachel A.
  • Sallis, James F.
  • Conway, Terry L.
  • Gavand, Kavita A.
  • Frank, Lawrence D.
  • Saelens, Brian E.
  • Geremia, Carrie M.
  • Chapman, James
  • Adams, Marc A.
  • Glanz, Karen
  • King, Abby C.

Abstract

Ecological models of physical activity emphasize the effects of environmental influences. “Microscale” streetscape features that may affect pedestrian experience have received less research attention than macroscale walkability (e.g., residential density). The Microscale Audit of Pedestrian Streetscapes (MAPS) measures street design, transit stops, sidewalk qualities, street crossing amenities, and features impacting aesthetics. The present study examined associations of microscale attributes with multiple physical activity (PA) measures across four age groups. Areas in the San Diego, Seattle, and the Baltimore metropolitan areas, USA, were selected that varied on macro-level walkability and neighborhood income. Participants (n = 3677) represented four age groups (children, adolescents, adults, older adults). MAPS audits were conducted along a 0.25 mile route along the street network from participant residences toward the nearest non-residential destination. MAPS data were collected in 2009–2010. Subscale and overall summary scores were created. Walking/biking for transportation and leisure/neighborhood PA were measured with age-appropriate surveys. Objective PA was measured with accelerometers. Mixed linear regression analyses were adjusted for macro-level walkability. Across all age groups 51.2%, 22.1%, and 15.7% of all MAPS scores were significantly associated with walking/biking for transport, leisure/neighborhood PA, and objectively-measured PA, respectively. Supporting the ecological model principle of behavioral specificity, destinations and land use, streetscape, street segment, and intersection variables were more related to transport walking/biking, while aesthetic variables were related to leisure/neighborhood PA. The overall score was related to objective PA in children and older adults. Present findings provide strong evidence that microscale environment attributes are related to PA across the lifespan. Improving microscale features may be a feasible approach to creating activity-friendly environments.

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  • Cain, Kelli L. & Millstein, Rachel A. & Sallis, James F. & Conway, Terry L. & Gavand, Kavita A. & Frank, Lawrence D. & Saelens, Brian E. & Geremia, Carrie M. & Chapman, James & Adams, Marc A. & Glanz,, 2014. "Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS)," Social Science & Medicine, Elsevier, vol. 116(C), pages 82-92.
    • Handle: RePEc:eee:socmed:v:116:y:2014:i:c:p:82-92
    DOI: 10.1016/j.socscimed.2014.06.042
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    1. King, Abby C. & Sallis, James F. & Frank, Lawrence D. & Saelens, Brian E. & Cain, Kelli & Conway, Terry L. & Chapman, James E. & Ahn, David K. & Kerr, Jacqueline, 2011. "Aging in neighborhoods differing in walkability and income: Associations with physical activity and obesity in older adults," Social Science & Medicine, Elsevier, vol. 73(10), pages 1525-1533.
    2. Brownson, R.C. & Chang, J.J. & Eyler, A.A. & Ainsworth, B.E. & Kirtland, K.A. & Saelens, B.E. & Sallis, J.F., 2004. "Measuring the Environment for Friendliness Toward Physical Activity: A Comparison of the Reliability of 3 Questionnaires," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 473-483.
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    17. Kim, Ji-Il & Yu, Chia-Yuan & Woo, Ayoung, 2023. "The impacts of visual street environments on obesity: The mediating role of walking behaviors," Journal of Transport Geography, Elsevier, vol. 109(C).
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    19. Hoerster, Katherine D. & Millstein, Rachel A. & Hall, Katherine S. & Gray, Kristen E. & Reiber, Gayle E. & Nelson, Karin M. & Saelens, Brian E., 2015. "Individual and contextual correlates of physical activity among a clinical sample of United States Veterans," Social Science & Medicine, Elsevier, vol. 142(C), pages 100-108.
    20. Marc A. Adams & Christine B. Phillips & Akshar Patel & Ariane Middel, 2022. "Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
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