Scipediacontent: /* 5. Conclusion */

2017-05-12T10:47:14Z

‎5. Conclusion

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2017-05-12T10:38:21Z

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Scipediacontent: Created page with "==Abstract== Research from multiple domains has provided insights into how neighborhood design can be improved to have a more favorable effect on physical activity, a concept..."

2017-05-12T10:35:49Z

Created page with "==Abstract== Research from multiple domains has provided insights into how neighborhood design can be improved to have a more favorable effect on physical activity, a concept..."

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 ==5. Conclusion==
-This study supports the use of the Walkability Model to measure the built environment in relation to physical activity. This model was created by synthesizing the literature from several research domains on design elements that may influence physical activity ([[#bib24|Zuniga-Teran, 2015]]  ;  [[#bib25|Zuniga-Teran ''et al'' ., 2016                            ]] ). The organization of the categories was designed to integrate well with previously developed research tools ([[#bib17|Saelens ''et al'' ., 2003                            ]] ; [[#bib4|Cerin ''et al'' ., 2006                            ]]  ;  [[#bib8|Frank ''et al'' ., 2009                            ]] ), and the sustainable neighborhood design tool from LEED-ND ([[#bib21|USGBC, 2014]] ). The results of this study support our hypothesis that the Walkability Framework can test the strength of relationships between actual physical activity and predicted walkability.
+This study supports the use of the Walkability Model to measure the built environment in relation to physical activity. This model was created by synthesizing the literature from several research domains on design elements that may influence physical activity ([[#bib24|Zuniga-Teran, 2015]]  ;  [[#bib25|Zuniga-Teran ''et al'' ., 2016                            ]] ). The organization of the categories was designed to integrate well with previously developed research tools ([[#bib17|Saelens ''et al'' ., 2003                            ]] ; [[#bib4|Cerin ''et al'' ., 2006                            ]]  ;  [[#bib8|Frank ''et al'' ., 2009                            ]] ), and the sustainable neighborhood design tool from LEED-ND ([[#bib21|USGBC, 2014]]). The results of this study support our hypothesis that the Walkability Framework can test the strength of relationships between actual physical activity and predicted walkability.
 The model proved useful for identifying the most influential walkability categories for each type of walking. In the case of walking for recreation, all of the walkability categories were significant, but the most influential (with moderate correlations) were greenspace, experience, traffic safety, density, and land use. In the case of walking for transportation, the most influential walkability categories (significant, ''p'' >0.05) were connectivity, land use, traffic safety, surveillance, greenspace and community. Our results suggest that there could be two different walkability models suited for each type of walking with different combination of components. Although as a whole (Walkability Index), our model quantitatively predicted better transportational walking, we obtained stronger results for recreational walking when examining the individual walkability categories separately. More research is recommended that examines two different models tailored to each type of walking.

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Scipediacontent: /* 5. Conclusion */

Scipediacontent: Scipediacontent moved page Draft Content 898639757 to Zuniga-Teran et al 2017a

Scipediacontent: Created page with "==Abstract== Research from multiple domains has provided insights into how neighborhood design can be improved to have a more favorable effect on physical activity, a concept..."