title: Google walkability: a new tool for local planning and public health research?
abstract: BACKGROUND
  We investigate the association of different composite walkability measures with individual walking behaviors to determine if multicomponent metrics of walkability are more useful for assessing the health impacts of the built environment than single component measures.
  
  
  METHODS
  We use a previously published composite walkability measure as well as a new measure that was designed to represent easier methods of combination and which includes 2 metrics obtained using Google data sources. Logistic regression was used to assess the relationship between walking behavior and walkability metrics.
  
  
  RESULTS
  Our results suggest that composite measures of walkability are more consistent predictors of walking behavior than single component measures. Furthermore, a walkability measure developed using free, publicly available data from Google was found to be nearly as effective in predicting walking outcomes as a walkability measure derived without such publicly and nationally available measures.
  
  
  CONCLUSIONS
  Our findings demonstrate the effectiveness of free and locally relevant data for assessing walkable environments. This facilitates the use of locally derived and adaptive tools for evaluating the health impacts of the built environment.
authors.affiliation: School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Jason
authors.initials: J
authors.lastname: Vargo
authors.forename: Brian
authors.initials: B
authors.lastname: Stone
authors.forename: Karen
authors.initials: K
authors.lastname: Glanz
mesh_terms: D004779:Environment Design; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D062486:Public Health Surveillance; D057386:Search Engine; D014481:United States; D016138:Walking