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Exploration of walking behavior in Vermont using spatial regression.

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English


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  • Abstract:
    This report focuses on the relationship between walking and its contributing factors by ; applying spatial regression methods. Using the Vermont data from the New England ; Transportation Survey (NETS), walking variables as well as 170 independent variables are ; derived including some through spatial analysis with Geographic Information Systems ; (GIS). Among those independent variables, people’s lifestyle and perception of the built ; environment variables are included. A linear regression model is first established to serve ; as a base model for comparisons with spatial regression models. The results reveal that ; people’s lifestyle and perception of the built environment are significant variables ; explaining Vermonters’ walking behavior. Methodologically, the results reveal that no ; spatial effect is found and that there are no significant differences between the linear and ; spatial regression models. Therefore, the study concludes that it may be appropriate to ; apply traditional non-spatial statistical tools to analyze the relationship between walking ; and its contributing factors. However, the study suggests that researchers examine ; whether spatial effect exists in these inherently spatial behaviors before using only ; traditional statistics. This caution is particularly relevant as methods to estimate spatial ; models become more commonplace and easily available. The two spatial methods used in ; this report both reveal small but different challenges.
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    Filetype[PDF - 1.15 MB]
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    urn:sha256:e4465934b76eb808e2e61f225ff26d60de3f50bbb4b0727e872a5f4158fdd44b
File Language:
English
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