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The results provide evidence that the impacts of street accessibility measures on the local levels showcase significant spatial variation.
The application of the delivered method in the case of Shanghai City, China, confirms the necessity of using the non-Euclidean distance metric and represent the coexistence between the stationarity and the non-stationarity of the introduced street accessibility variables.
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In this context, the purpose of this study is to analyze the potential changes to street network accessibility using GIS techniques and to provide spatial information that may influence the decision making of urban managers.
BMI was observed to be significantly (p<0.05) associated with a number of built environment factors including mix; density of retail, churches, recreational and leisure services; street network accessibility as well as slope variability.
WHEELCHAIR ACCESSIBILITY Street-level access to dining room and restrooms.
Wheelchair accessibility: Street level; same for restrooms.
WHEELCHAIR ACCESSIBILITY Street level to restaurant.
WHEELCHAIR ACCESSIBILITY Street level to dining room and restrooms.
WHEELCHAIR ACCESSIBILITY Street level; restrooms are on dining level.
WHEELCHAIR ACCESSIBILITY Street level; restrooms are on the main level.
ACCESSIBILITY Street level for both restaurant and restrooms.
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