These include population density, diversity of destinations and pedestrian-friendly designs.
Neighborhood-level deprivation was moderately correlated with these three variables as well; for example, more deprived neighborhoods tended to have higher dwelling density, density of neighborhood destinations (i.e., NDAI), and street connectivity.
Area of residence (urban, semi-urban or rural) might also relate to walking and cycling as these areas differ in residential densities, proximity of destinations, traffic, greenery... To our knowledge only two studies previously focused on the relationship between urban versus semi-urban residence and older adults' walking for transportation.
31 Together, these two tools were used to measure neighbourhood safety from traffic and crime, density and diversity of destinations, activity friendliness, attractiveness and pedestrian access.
The grid-pattern neighbourhoods surrounding the city centre, by virtue of their mixed land-use (combination of commercial, residential, institutional establishments), possess greater density and diversity of destinations, are less car-oriented, and more pedestrian friendly.
To investigate associations between exposures (eg, density of office building destinations; high/low) and outcomes (eg, occupational step count and sitting time) hierarchical regression models will be carried out, adjusted for clustering of outcomes among adults within the same office building, as well as other potential confounding variables (eg, SOC code and ethnicity, etc).
Namely, higher walkability translates into a higher density and easier accessibility of destinations, such as work, which is especially inviting for PA with a transportation purpose.
We modelled 28 scenarios representing a diverse range of built environment attributes including density, diversity of land use, availability of destinations, distance to transit, design and neighbourhood walkability.
Among the respondents who resided in the South, associations were detected in eight models, and the direction of the associations were negative for population density, number of intersections, and number of destinations, and positive for land slope.
Three are located in Bangkok and two in high density tourist destinations outside of Bangkok.
