Validation of Walk Scores and Transit Scores for estimating neighborhood walkability and transit availability: a small-area analysis

• Published in: GeoJournal Vol. 78; no. 2; pp. 407 - 416
• Main Authors: Duncan, Dustin T., Aldstadt, Jared, Whalen, John, Melly, Steven J.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.04.2013; Springer Netherlands; Springer Nature B.V
• Subjects: Achievement tests; Availability; Buffers; Classrooms; Correlation analysis; Correlations; Density; Environmental Management; Estimating; Exercise; Geographic information systems; Geographical information systems; Geography; Human Geography; Medical research; Neighborhoods; Neighbourhoods; Public health; Rail transit; Retail stores; Roads & highways; Satellite navigation systems; Schools; Sidewalks; Social Sciences; Space; Spatial analysis; Statistical analysis; Students; Studies; Subway systems; Transit; Urban planning; Validity; Walkability; Walking; Websites; Boston Massachusetts; United States > US; Validity; Walk Score; Transit availability; Small-area analysis; Neighborhood walkability; Transit score
• ISSN: 0343-2521; 1572-9893
• DOI: 10.1007/s10708-011-9444-4

We investigated the validity of Walk Scores and Transit Scores from the Walk Score website using several objective geographic information systems (GIS) measures of neighborhood walkabiltiy and transit availability based on 400- and 800-m street network buffers. Address data come from the 2008 Boston Youth Survey Geospatial Dataset, a school-based sample of public high school students in Boston, MA with complete residential address information (n = 1,292). GIS data were used to create multiple objective measures of neighborhood walkability and transit availability. We also obtained Walk Scores and Transit Scores. We calculated Spearman correlations of Walk Scores and Transit Scores with the GIS neighborhood walkability/transit availability measures as well as Spearman correlations accounting for spatial autocorrelation. Several significant correlations were observed between Walk Score and 400-m buffer GIS measures of neighborhood walkability; all significant correlations were found for the 800-m buffer. All correlations between Transit Scores and GIS measures of neighborhood transit availability were also significant (all p < 0.0001). However, the magnitude of correlations varied by the GIS measure and neighborhood definition. Relative to the 400-m buffer, correlations for the 800-m buffer were higher. This study suggests that Walk Score is a good, convenient tool to measure certain aspects of neighborhood walkability and transit availability (such as density of retail destinations, density of recreational open space, intersection density, residential density and density of subway stops). However, Walk Score works best at larger spatial scales.