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Assessment of Residential Satisfaction in Mehr Housing Scheme

A Case Study of Sadra New Town, Iran

Bibliographic Data

ID12633848
AuthorsRoya Etminani-Ghasrodashti (0000-0002-8434-7663, ,, corresponding author), Hamid Majedi (,), Mohammad Paydar (0000-0002-8693-9750, ,)
Year2017
Volume34
Issue3
Pages323-342
Publication date2017-03-06
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHousing Theory and Society (JOURNAL)
Journal identifiersISSN: 1403-6096 • E-ISSN: 1651-2278
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/14036096.2017.1298536
OpenAlexW2594591648
LanguageEN
Citations received11
References cited47

This paper aims to contribute to theory and practice concerning residential satisfaction in public housing through an assessment of the Mehr housing scheme (MHS), which is a significant project of the Iranian government’s current development plans. This study is based on household surveys conducted in two MHS projects in the new town of Sadra, Iran. Data were collected through a sample of residents to explore their satisfaction with physical characteristics of housing units, public facilities and services, and also the social participation and cohesion among residents. Using descriptive statistics, factor analysis and categorical regression, the hypothesis that satisfaction is based on the relationship between different key factors was tested. The results of descriptive analysis demonstrate that only 32.5% of respondents were satisfied with living in MHS. Findings from categorical regression revealed that built environment variables such as buildings’ physical features were the main determinants of respondents’ overall satisfaction while the social features of the housing projects had little to no impacts on residents’ contentment. These results suggest that while primary aspirations for physical characteristics of public housing and access to essential services and facilities were disregarded by planners, social association, cohesion and ties among residents will likely become less important

Built environment · Business · Categorical variable · Cohesion (chemistry · Contentment · County government · Descriptive statistics · Economic growth · Economics · Environmental health · Government (linguistics · Political science · Public housing · Regression analysis · Socioeconomics · Sociology · Statistics · Engineering · Mathematics · Medicine · Place Attachment and Urban Studies · Psychology · Public Administration · Social Psychology · Urban and Rural Development Challenges · Urban, Neighborhood, and Segregation Studies

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Unique citing works11
Citations per year1,22
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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