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Accessibility and connectivity in physical activity studies: The impact of missing pedestrian data

Abstract Objective. One important characteristic in physical activity research into the built environment is network connectivity, usually calculated using street networks. However, a true pedestrian network may have very different connectivity than a street network. This study, conducted in 2004, e...

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Bibliographic Details
Published in:Preventive medicine 2008-01, Vol.46 (1), p.41-45
Main Authors: Chin, Gary K.W, Van Niel, Kimberly P, Giles-Corti, Billie, Knuiman, Mathew
Format: Article
Language:English
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Summary:Abstract Objective. One important characteristic in physical activity research into the built environment is network connectivity, usually calculated using street networks. However, a true pedestrian network may have very different connectivity than a street network. This study, conducted in 2004, examines the difference in walkability analyses when street networks versus pedestrian networks are used for four metropolitan suburbs in Perth, Western Australia. Methods. A street network of Perth was used to represent the current standard of data for walkability analyses. Aerial photography from 2003 was used to create a pedestrian network, which incorporated pedestrian footpaths into the street network. The street and pedestrian networks were compared using three measures of connectivity: Pedsheds, link node ratio and pedestrian route directness. Results. A comparison of the results using street versus pedestrian networks showed very different outcomes for conventional neighbourhood designs. Connectivity measures for conventional neighbourhoods improved up to 120% with the addition of pedestrian networks, although traditional neighbourhoods still had slightly better connectivity values overall. Conclusion. The true pedestrian network increases the connectivity of a neighbourhood and may have significant impact on these measures, especially in neighbourhoods with conventional street designs. It is critical that future studies incorporate pedestrian networks into their analyses.
ISSN:0091-7435
1096-0260
DOI:10.1016/j.ypmed.2007.08.004