Household density is an adequate indicator of crowding which in turn is associated to poverty and the likelihood of criminal activity (Harries 2006).
Household density was defined as the total number of rooms divided by the total number of persons in the house.
Household density was calculated as the number of residents of all ages (including the newborn) divided by the number of rooms in the accommodation.
The result has shown that living in a neighborhood with higher household density, closeness to rail stations, and better bus services are associated with a lesser likelihood to be obese, which implies that people in a well-designed transit-oriented neighborhood tend to use active transportation modes to reach their daily activities and access transit services.
The average household size is 7.3 members and the average household density has been calculated as about 211 people per hectare.
To clarify, the aforementioned variables and their measurements are specified as follows: In this study, household density is used as an indicator of population density.
Technical infrastructure and business (built, utilities, transport/cargo) Low household density, high proportion of working people in high skilled sectors international shipping and cargo containers.
Distance from city centre, Distance from rivers and streams, Distance from roads, Distance from water points, Distance from woodlands, Household density.
Furthermore, the impacts of an increase in household density were compared with those linked to scenarios where the density does not change.
Emerging research suggests that urban and transport planning indicators such as road network, distance to major roads, traffic density, household density, industry, and natural and green space can explain a large proportion of the variability in environmental exposures and therefore represent important and highly modifiable factors.
Additionally, this study uses the 2010 Census data provide by IBGE to measure indicators of social disorganization, which includes household density, residential tenure, racial heterogeneity, socio-economic status, age risk (between 15 and 24), and housing quality.
