Structural Design of a Typical American Wood-Framed Single-Family Home

The spread of COVID-19 is not evenly distributed. Neighborhood environments may structure risks and resources that produce COVID-19 disparities. Neighborhood built environments that allow greater flow of people into an area or impede social distancing practices may increase residents’ risk for contracting the virus. We leveraged Google Street View (GSV) images and computer vision to detect built environment features (presence of a crosswalk, non-single family home, single-lane roads, dilapidated building and visible wires). We utilized Poisson regression models to determine associations of built environment characteristics with COVID-19 cases. Indicators of mixed land use (non-single family home), walkability (sidewalks), and physical disorder (dilapidated buildings and visible wires) were connected with higher COVID-19 cases. Indicators of lower urban development (single lane roads and green streets) were connected with fewer COVID-19 cases. Percent black and percent with less than a high school education were associated with more COVID-19 cases. Our findings suggest that built environment characteristics can help characterize community-level COVID-19 risk. Sociodemographic disparities also highlight differential COVID-19 risk across groups of people. Computer vision and big data image sources make national studies of built environment effects on COVID-19 risk possible, to inform local area decision-making.

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Value of Transit as Reflected in U.S. Single-Family Home Premiums

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2543-12 ◽

2016 ◽

Vol 2543 (1) ◽

pp. 108-115 ◽

Cited By ~ 9

Author(s):

Shima Hamidi ◽

Katherine Kittrell ◽

Reid Ewing

Keyword(s):

Single Family ◽

Family Home

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An empirical investigation of framing effects in negotiations: A study of single-family home sales

Psychology and Marketing ◽

10.1002/mar.20220 ◽

2008 ◽

Vol 25 (5) ◽

pp. 465-484 ◽

Cited By ~ 6

Author(s):

Carl L. Witte ◽

Marko Grünhagen ◽

James W. Gentry

Keyword(s):

Empirical Investigation ◽

Framing Effects ◽

Single Family ◽

Home Sales ◽

Family Home

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Analysis of energy saving in a single-family home project

Journal of Physics Conference Series ◽

10.1088/1742-6596/2102/1/012007 ◽

2021 ◽

Vol 2102 (1) ◽

pp. 012007

Author(s):

A A Macgregor ◽

R J Gallardo ◽

J A Gómez Camperos

Keyword(s):

Carbon Dioxide ◽

Life Cycle ◽

Carbon Dioxide Emissions ◽

Energy Savings ◽

Electric Energy ◽

Human Beings ◽

Single Family ◽

Family Home ◽

Choosing By Advantages ◽

The Impact

Abstract Electric energy is one of the types of energy that is most present in the activities that human beings carry out daily, hence the importance of making efficient consumption of this resource, especially that which is done in homes, since energy savings represent a reduction in carbon dioxide emissions. Given that the construction sector can represent up to 39% of the carbon dioxide emissions emitted into the atmosphere, this research analyzes the impact generated by the construction and use of a single-family home, with the use of DesignBuilder software. Initially, a model was made under traditional conditions, thus determining where the greatest heat gains were concentrated, followed by a second model under adjusted conditions. A life cycle analysis was made under conditions adjusted to a period of 100 years and the submission of the two conditions to the choosing by advantages method. The results showed that the changes can reduce annual energy consumption by up to 66% and recover the investment in 10 years. Finally, the analysis of the life cycle determined that for a period of 100 years the emissions are 18679.67 equivalent tonnes of carbon dioxide.

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