Challenges and Technologies for Affordable Housing System

Decision Support System for Affordable Housing

This research used neural networks to develop a decision support system, and model the relationship between one’s living environment and residential satisfaction. Residential satisfaction was investigated at two affordable housing multifamily rental properties located in Atlanta, Georgia. The neural network was trained using data from Defoors Ferry Manor and the network was validated using data...

Indicator based sustainability assessment tool for affordable housing construction technologies

With the growing worldwide demand for affordable housing and the importance of supporting and stimulating sustainable development, the need for sustainable solutions in the affordable housing sector is at a peak. The present paper screened about 75 construction technologies and assessed 46 of them. The present paper presents the first results of a step wise approach to identify, assess and reco...

Lessons of Defence Housing Australia for affordable housing provision

Constant Quality Rent Indexes for Affordable Housing

This paper develops and applies a method for producing constant quality rent indexes and inflation estimates for different segments of the rental housing stock. In each of the five contrasting metropolitan areas, rent inflation since the late 1980s is found to have varied by market segment. In some metro areas, rental prices have risen most rapidly in the bottom third of the rent distribution, ...

Data mining of space heating system performance in affordable housing

The space heating in residential buildings accounts for a considerable amount of the primary energy use. Therefore, understanding the operation and performance of space heating systems becomes crucial in improving occupant comfort while reducing energy use. This study investigated the behavior of occupants adjusting their thermostat settings and heating system operations in a 62-unit affordable...