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A consistent pattern of positive associations was observed between built environment characteristics (street connectivity, destination accessibility, and dwelling density) and transport and leisure-related PA outcomes.
We observed reasonably high correlations between the neighborhood-level measures (Table 4), most notably between street connectivity, destination accessibility, and dwelling density.
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The findings of the study show that there is a decreasing trend in density, (land use) diversity, connectivity and destination accessibility of the housing areas.
Three objectively measured neighborhood characteristics—street connectivity, neighborhood destination access, and dwelling density were positively associated with self-reported and accelerometer-derived measures of PA.
Urban designers suggest that metrics such as street lighting, perceived safety, and connectivity to destinations encourage pedestrian activity.
Walkability captures the proximity between functionally complementary land uses (live, work, play) and the degree of route directness or connectivity between destinations (Forsyth and Southworth 2008; Moudon et al. 2006).
The problems in the wireless networks are finding a path to destination, connectivity maintenance and estimation of node positions.
RBVT [21] takes advantage of real-time traffic information through route discovery packets which are sent by source nodes to find paths with high connectivity to the destination.
GIS measures of connectivity, proximity to destinations, and pedestrian infrastructure and safety were used to create a walkability index.
Clearly, "adequate location" can be understood in a broad sense to include both the actual geographical location within an urban area and the connectivity to key destinations provided by the transport system.
The stationary nature of nodes in a mesh network has shifted the main design goal of routing protocols from maintaining connectivity between source and destination nodes to finding high-throughput paths between them.
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