skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Disparities in affecting factors of housing price: A machine learning approach to the effects of housing status, public transit, and density factors on single-family housing price
Award ID(s):
2133302 1952193
PAR ID:
10451271
Author(s) / Creator(s):
; ;
Publisher / Repository:
Cities
Date Published:
Journal Name:
Cities
Volume:
140
Issue:
C
ISSN:
0264-2751
Page Range / eLocation ID:
104432
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. - (Ed.)
    Buildings are responsible for the largest portion of energy consumption on U.S. electric grids. The wide participation of buildings in demand side management (DSM) through modulating or shifting electricity end uses, particularly in homes, can support decarbonization goals and increase reliability of electric power supply. The awareness and willingness of households to adjust internal loads, housing occupancy, and household energy consumption patterns all play an important role to support the potential for DSM. A particularly challenging type of housing to reach in DSM is rental housing. Historically this type of housing has been plagued by split incentives that limit the motivation of home owners (landlords) to improve the energy performance of these buildings since they often do not pay the utility bills. DSM presents an opportunity to support reducing the utility bills of renters through controls adjustments rather than requiring the landlord to invest in energy efficient technologies. This study aims to identify household occupancy schedules and potential factors that may influence willingness to participate in DSM among renters, in particular college students. A survey-based method was conducted among 55 college students majoring in civil, environmental, and applied engineering and showed that, while the targeted population has low awareness about DSM strategies, they would be willing to participate in a DSM in the future. The factors that appear to drive willingness to participate in DSM for this population were related to the potential reduction of electricity costs and energy savings. 
    more » « less
  2. Over the last three decades, the growth in housing costs relative to household incomes across cities in the United States has dramatically affected households' housing options. For this study, we apply a logit model to data from the American Housing Survey to provide evidence on how rising house costs affect female-headed households' decisions to move from the current home to another. Estimates reveal that total housing cost is a significant determinant of a female-headed household’s decision to move. We also found that lower-income female-headed households are more likely to move to a new location than higher-income female-headed households. These results support the idea that affordable housing programs should be maintained and expanded to offer some alleviation to the burden of rising housing costs on lower-income female-headed households and other vulnerable groups 
    more » « less
  3. Globally, hazards are increasingly threatening housing each year, and housing constructed outside the formal sector may be particularly vulnerable. Yet, limited studies have investigated the perceptions of those responsible for designing and building this housing. These safety perceptions motivate the informal housing construction practices that ultimately determine housing safety. Thus, this study investigates the multi-hazard housing safety perceptions of individuals involved with housing construction in Puerto Rico. We surveyed 345 builders and hardware store employees across Puerto Rico to understand their perceptions of expected housing damage in hurricanes and earthquakes, important mitigation measures, and barriers to safer housing construction. Our results reveal that prior hazard experience did not influence perceptions of expected housing damage, but previous housing construction experience did. Respondents viewed wood and concrete housing as less safe in hurricanes and earthquakes, respectively. Yet, respondents appeared uncertain about the importance of mitigation measures for concrete houses in earthquakes, likely due to a combination of limited earthquake experience and “hidden” reinforcement detailing in a reinforced concrete house. Interestingly, our results also show that respondents perceive technical construction capacity as a major barrier to safer informal housing construction rather than resource constraints alone. These findings suggest areas for technical construction capacity development for Puerto Rico’s informal construction sector. 
    more » « less