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      Block size-based measures of street connectivity: A critical assessment and new approach

      URBAN DESIGN International
      Springer Science and Business Media LLC

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          School site and the potential to walk to school: the impact of street connectivity and traffic exposure in school neighborhoods.

          The impact of neighborhood walkability (based on street connectivity and traffic exposure) within 2 km of public primary schools on children regularly walking to school was examined. The most (n=13) and least walkable (n=12) schools were selected using a school-specific 'walkability' index and a cross sectional study undertaken of Year 5, 6 and 7 children (n=1480) and consenting parents (n=1332). After adjustment, regularly walking to school was higher in children attending schools in high walkable neighborhoods (i.e, high street connectivity and low traffic volume) (Odds ratio (OR) 3.63; 95% Confidence Interval (CI) 2.01-6.56), and less likely in neighborhoods with high connectivity but high traffic volume (OR 0.32; 95% CI 0.22-0.47). Connected street networks provide direct routes to school but when designed for heavy traffic, the potential for children to walk to school is reduced. This highlights the importance of carefully considering school siting and, particularly, street design in school neighborhoods. Crown Copyright © 2010. Published by Elsevier Ltd. All rights reserved.
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            Site Design and Pedestrian Travel

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              Is Open Access

              Associations between street connectivity and active transportation

              Background Past studies of associations between measures of the built environment, particularly street connectivity, and active transportation (AT) or leisure walking/bicycling have largely failed to account for spatial autocorrelation of connectivity variables and have seldom examined both the propensity for AT and its duration in a coherent fashion. Such efforts could improve our understanding of the spatial and behavioral aspects of AT. We analyzed spatially identified data from Los Angeles and San Diego Counties collected as part of the 2001 California Health Interview Survey. Results Principal components analysis indicated that ~85% of the variance in nine measures of street connectivity are accounted for by two components representing buffers with short blocks and dense nodes (PRIN1) or buffers with longer blocks that still maintain a grid like structure (PRIN2). PRIN1 and PRIN2 were positively associated with active transportation (AT) after adjustment for diverse demographic and health related variables. Propensity and duration of AT were correlated in both Los Angeles (r = 0.14) and San Diego (r = 0.49) at the zip code level. Multivariate analysis could account for the correlation between the two outcomes. After controlling for demography, measures of the built environment and other factors, no spatial autocorrelation remained for propensity to report AT (i.e., report of AT appeared to be independent among neighborhood residents). However, very localized correlation was evident in duration of AT, particularly in San Diego, where the variance of duration, after accounting for spatial autocorrelation, was 5% smaller within small neighborhoods (~0.01 square latitude/longitude degrees = 0.6 mile diameter) compared to within larger zip code areas. Thus a finer spatial scale of analysis seems to be more appropriate for explaining variation in connectivity and AT. Conclusions Joint analysis of the propensity and duration of AT behavior and an explicitly geographic approach can strengthen studies of the built environment and physical activity (PA), specifically AT. More rigorous analytical work on cross-sectional data, such as in the present study, continues to support the need for experimental and longitudinal study designs including the analysis of natural experiments to evaluate the utility of environmental interventions aimed at increasing PA.
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                Author and article information

                Journal
                URBAN DESIGN International
                Urban Des Int
                Springer Science and Business Media LLC
                1357-5317
                1468-4519
                January 2015
                January 15 2014
                January 2015
                : 20
                : 1
                : 44-55
                Article
                10.1057/udi.2013.36
                96292c1c-8e13-4a8d-9e2b-c86bfc80a7fc
                © 2015

                http://www.springer.com/tdm

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