Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury
Stephen J. Mooney, Charles J. DiMaggio, Gina S. Lovasi, Kathryn M. Neckerman, Michael D. M. Bader, Julien O. Teitler, Daniel M. Sheehan, Darby W. Jack and Andrew G. Rundle
American journal of public health (1971), v 106(3), pp 462-469
Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
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. We used imagery captured by Google Street View from 2007 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 incidence per 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 to be associated with elevated counts of pedestrian injury in New York City. Virtual site visits for pedestrian injury control studies are a viable and informative methodology.
Use of Google Street View to Assess Environmental Contributions to Pedestrian Injury
Creators
Stephen J. Mooney - Columbia University
Charles J. DiMaggio - Columbia University
Gina S. Lovasi - Columbia University
Kathryn M. Neckerman - Columbia University
Michael D. M. Bader - Amer Univ, Dept Sociol, Washington, DC 20016 USA
Julien O. Teitler - Columbia University
Daniel M. Sheehan - Columbia University
Darby W. Jack - Columbia University
Andrew G. Rundle - Columbia University
Publication Details
American journal of public health (1971), v 106(3), pp 462-469
Publisher
Amer Public Health Assoc Inc
Number of pages
8
Grant note
Center for Injury Epidemiology and Prevention at Columbia
EHE International Inc.
T32CA009529 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
P2CHD058486 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
R21HD062965 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
R49CE002096 / NATIONAL CENTER FOR INJURY PREVENTION AND CONTROL; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA
T32-CA09529 / National Cancer Institute; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
1 R49 CE002096 / National Center for Injury Prevention and Control of the Centers for Disease Control and Prevention; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA
R21HD062965 / Eunice Kennedy Shriver National Institute of Child Health and Human Development; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative
Web of Science ID
WOS:000375444800021
Scopus ID
2-s2.0-84959043021
Other Identifier
991020100067204721
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