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Use of google street view to assess environmental contributions to pedestrian injury

Author

Listed:
  • Mooney, S.J.
  • DiMaggio, C.J.
  • Lovasi, G.S.
  • Neckerman, K.M.
  • Bader, M.D.M.
  • Teitler, J.O.
  • Sheehan, D.M.
  • Jack, D.W.
  • Rundle, A.G.

Abstract

Objectives. To demonstrate an information technology-based approach to assess characteristics of streets and intersections associated with injuries that is less costly and time-consuming than location-based studies of pedestrian injury. Methods.Weusedimagery captured byGoogle StreetViewfrom2007 to 2011 to assess 9 characteristics of 532 intersections within New York City. We controlled for estimated pedestrian count and estimated the relation between intersections' characteristics and frequency of injurious collisions. Results. The count of pedestrian injuries at intersections was associated with the presence of marked crosswalks (80% increase; 95% confidence interval [CI] = 2%, 218%), pedestrian signals (156% increase; 95% CI = 69%, 259%), nearby billboards (42% increase; 95%CI =7%,90%), andbus stops (120%increase;95%CI = 51%,220%). Injury incidenceper pedestrian was lower at intersections with higher estimated pedestrian volumes. Conclusions. Consistent with in-person study observations, the information-technology approach found traffic islands, visual advertising, bus stops, and crosswalk infrastructures tobeassociatedwith elevatedcounts ofpedestrian injury in New York City. Virtual sitevisits for pedestrian injury control studies are a viable and informativemethodology.

Suggested Citation

  • Mooney, S.J. & DiMaggio, C.J. & Lovasi, G.S. & Neckerman, K.M. & Bader, M.D.M. & Teitler, J.O. & Sheehan, D.M. & Jack, D.W. & Rundle, A.G., 2016. "Use of google street view to assess environmental contributions to pedestrian injury," American Journal of Public Health, American Public Health Association, vol. 106(3), pages 462-469.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2015.302978_8
    DOI: 10.2105/AJPH.2015.302978
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    Cited by:

    1. Omar Faruqe Hamim & Surendra Reddy Kancharla & Satish V Ukkusuri, 2024. "Mapping sidewalks on a neighborhood scale from street view images," Environment and Planning B, , vol. 51(4), pages 823-838, May.
    2. Bradley Bereitschaft, 2017. "Equity in Microscale Urban Design and Walkability: A Photographic Survey of Six Pittsburgh Streetscapes," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    3. Aghaabbasi, Mahdi & Moeinaddini, Mehdi & Shah, Muahammad Zaly & Asadi-Shekari, Zohreh, 2018. "Addressing issues in the use of Google tools for assessing pedestrian built environments," Journal of Transport Geography, Elsevier, vol. 73(C), pages 185-198.
    4. Li, Meiqing & Rodriguez, Daniel A., 2024. "Marked crosswalks, station area built environments, and transit ridership: Associations between changes in 877 US TOD stations, 2010–2018," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    5. Ayse Ozbil & Tugce Gurleyen & Demet Yesiltepe & Ezgi Zunbuloglu, 2019. "Comparative Associations of Street Network Design, Streetscape Attributes and Land-Use Characteristics on Pedestrian Flows in Peripheral Neighbourhoods," IJERPH, MDPI, vol. 16(10), pages 1-23, May.
    6. Katherine Brookfield & Sara Tilley, 2016. "Using Virtual Street Audits to Understand the Walkability of Older Adults’ Route Choices by Gender and Age," IJERPH, MDPI, vol. 13(11), pages 1-12, October.

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