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1

Streimikiene, D. "Quality of Life and Housing." International Journal of Information and Education Technology 5, no. 2 (2015): 140–45. http://dx.doi.org/10.7763/ijiet.2015.v5.491.

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2

Danes, Sharon M., and Earl W. Morris. "Housing Status, Housing Expenditures, and Satisfaction with Housing Quality." Housing and Society 13, no. 1 (January 1986): 32–43. http://dx.doi.org/10.1080/08882746.1986.11429976.

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3

Young, Arthur F. "1990 - Whither Housing Quality?" Housing and Society 12, no. 2 (January 1985): 86–90. http://dx.doi.org/10.1080/08882746.1985.11429964.

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4

Shinnick, Edward. "Measuring Irish housing quality." Journal of Economic Studies 24, no. 1/2 (February 1997): 95–119. http://dx.doi.org/10.1108/01443589710156907.

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5

Croal, Gerard, Susan M. Ogden, and Nigel P. Grigg. "Building quality housing services." Property Management 21, no. 4 (October 2003): 230–41. http://dx.doi.org/10.1108/02637470310495018.

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6

Dursun, Pelin, and Gulsun Saglamer. "Analysing Housing Quality: Belerko Housing Settlement, Trabzon, Turkey." Open House International 34, no. 4 (December 1, 2009): 46–56. http://dx.doi.org/10.1108/ohi-04-2009-b0006.

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The relationship between people and their home environment has always been an important research theme. Cooperative works of different disciplines and research areas, such as environmental psychology, social psychology, community psychology, home environment studies, urban planning and architecture have developed an understanding of relationships between quality and residential spaces. In this study an attempt has been made to analyze quality issues in housing environments by providing a general review related to quality housing research and by establishing a model that can be used to evaluate the concept of quality in housing. Focusing on a specific housing settlement as a case study, the goal here is to open a debate based on design concepts and their social and spatial consequences in architecture and to provide important data for future housing projects in Turkey. In the scope of the work, the Belerko Housing Settlement in the City of Trabzon has been selected as a research area. Aim of the study is to develop an understanding of the social, psychological and the physical characteristics that contribute to spatial quality in this specific housing environment.
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7

Suglia, Shakira Franco, Cristiane S. Duarte, and Megan T. Sandel. "Housing Quality, Housing Instability, and Maternal Mental Health." Journal of Urban Health 88, no. 6 (June 7, 2011): 1105–16. http://dx.doi.org/10.1007/s11524-011-9587-0.

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8

I., AZAROVA. "Housing quality indicators in Ukraine." INTERNATIONAL SCIENTIFIC-PRACTICAL JOURNAL "COMMODITIES AND MARKETS" 29, no. 1 (March 22, 2019): 14–27. http://dx.doi.org/10.31617/tr.knute.2019(29)02.

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9

Imrie, Rob. "Housing quality, disability and domesticity." Housing Studies 19, no. 5 (September 2004): 685–90. http://dx.doi.org/10.1080/0267303042000249143.

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10

Williams, Charles. "Housing associations: Quantity or quality?" Public Money & Management 16, no. 3 (July 1996): 4–5. http://dx.doi.org/10.1080/09540969609387926.

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11

Evans, Gary W., Nancy M. Wells, Hoi-Yan Erica Chan, and Heidi Saltzman. "Housing quality and mental health." Journal of Consulting and Clinical Psychology 68, no. 3 (2000): 526–30. http://dx.doi.org/10.1037/0022-006x.68.3.526.

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12

Arcury, Thomas A., Ilene J. Jacobs, and Virginia Ruiz. "Farmworker Housing Quality and Health." NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 25, no. 3 (September 16, 2015): 256–62. http://dx.doi.org/10.1177/1048291115604426.

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13

Ogu, Vincent Ifeanyi. "Rural housing quality in Nigeria." Habitat International 18, no. 3 (January 1994): 53–65. http://dx.doi.org/10.1016/0197-3975(94)90004-3.

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14

Ozsoy, Ahsen, Nur Esin Altas, Vildan Ok, and Gülçin Pulat. "Quality assessment model for housing." Habitat International 20, no. 2 (June 1996): 163–73. http://dx.doi.org/10.1016/0197-3975(95)00045-3.

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15

Chohan, Afaq Hyder, Adi Irfan, and Jihad Awad. "Development of Quality Indicators of Housing Design (QIHD), an Approach to Improve Design Quality of Affordable Housing." Open House International 40, no. 4 (December 1, 2015): 10–17. http://dx.doi.org/10.1108/ohi-04-2015-b0003.

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This research has been conducted to determine the design quality indicators and parameters for affordable housing in Karachi Pakistan. The absence of quality in Karachi housing resulted from various factors ranging from policy failure, violation of bylaws, population, housing scarcity and non availability of quality parameters etc. The amalgamation of these factors eventually lowers the quality of housing and ultimately results deficient housing design and construction. Because of this trend the end users experience the nuisance of unplanned maintenance and bear the tax of heavy repair and reworks. Significance of research has been accomplished through developing design quality models for both professional and users. This research has eventually evaluated forty eight (48) quality indicators for housing design (QIHD) from listed 65 design quality variables farmed in seven sections. This research concludes that existing design quality of affordable housing in Karachi could be enhanced through improving the design, construction, services, site development and neighborhood and sustainability. The QIHD model will provide the opportunity for design and construction professionals of city to rethink their housing design intellect in context of the housing quality.
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16

Holm, Mats G. "Service quality and product quality in housing refurbishment." International Journal of Quality & Reliability Management 17, no. 4/5 (June 2000): 527–40. http://dx.doi.org/10.1108/02656710010298562.

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17

Delgado, Alina, and Frank De Troyer. "Modeling Quality and Housing Preferences for Affordable New Housing Developments." Open House International 36, no. 3 (September 1, 2011): 27–37. http://dx.doi.org/10.1108/ohi-03-2011-b0004.

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A fundamental change in the planning and delivery of new housing projects has taken place in the last years, with the focus shifting towards adding value to projects based on a better understanding of housing preferences. This issue becomes even more critical when it is intended to the provision of affordable houses for low and middle income groups. This paper describes a model designed to help developers and housing users to achieve their expectations regarding quality, affordability and including also reasonable profits. Developed through a “methodological pluralism”, this study identifies people-oriented variables and assumptions. The model was developed based on a case study in the city of Guayaquil-Ecuador, and information obtained from field work research was used to test it. The study examines implications and limitations of the model for inclusion of housing preferences considering local conditions and cultural values. The different parts of the model along with data requirements for each part are described. The paper concludes with findings regarding the identification of most preferred attributes by housing users and the use of alternatives methods to incorporate additional value into projects, translated into more appealing profits for developers and the provision of better and more affordable houses for users.
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18

Liu, Lihong. "Study on the Quality Management of Security Housing." Applied Mechanics and Materials 174-177 (May 2012): 3479–82. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.3479.

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This paper discusses about the quality management of security housing. The paper analyzes quality problems which happened in the process of security housing construction, and analyzes the factors of impaction about the quality of security housing. There are some uncoordinated points and problems between the public goods characteristics of security housing and the policies about these characteristics and security housing construction quality. In the end it proposes specific countermeasures to solve the quality problems. Construction security housing is a systemic engineering and it needs multi-joint efforts and coordinated function of all participants.
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19

Chodová, D., E. Tůmová, M. Martinec, Z. Bízková, V. Skřivanová, Z. Volek, and L. Zita. "Effect of housing system and genotype on rabbit meat quality." Czech Journal of Animal Science 59, No. 4 (April 15, 2014): 190–99. http://dx.doi.org/10.17221/7343-cjas.

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The effect of the housing system on the carcass characteristics, physical parameters of meat quality, fatty acid composition, and muscle fibre characteristics was studied in some Czech breeds. Ninety-six rabbits from seven different breeds of Czech genetic resources (Moravian Blue, Czech White, Czech Solver, Czech Spotted, Moravian White of Brown Eye, Czech Gold, and Czech Black Guard Hair) and one rabbit commercial hybrid (Hyplus), kept in two housing systems: intensive system (wire-net cages) or alternative (straw-bedded pen), were slaughtered at the age of 91 days. Alternatively housed rabbits had lower weight at slaughter, lower weight of loin, of hind legs meat, and of renal fat than rabbits from cages. The interactions between housing system and genotype were reflected significantly in pH value, and lightness and yellowness of biceps femoris. The highest (P &le; 0.047) pH was observed in Hyplus (6.68) from cages, while the lowest value was noted in Moravian White of Brown Eye (6.26). The significantly (P &le; 0.010) lightest meat was detected in Czech Solver (60.93) and the darkest in Czech Gold (47.81). Alternatively reared rabbits showed significantly (P &le; 0.001) lower monounsaturated fatty acids (MUFA) (26.63%) and higher (P &le; 0.001) polyunsaturated fatty acids (PUFA) (36.73%) contents than rabbits from cages (36.94% MUFA and 26.23% PUFA). The alternatively housed group had also higher n-3 and n-6 PUFA contents and higher PUFA : SFA ratio than the intensively housed one. Significant interactions (P &le; 0.001) were observed in cross sectional area (CSA), diameter, and perimeter of muscle fibres of type I. The largest (P &le; 0.001) CSA of type I muscle fibre had Czech Black Guard Hair from cages (2573.1&nbsp;&mu;m<sup>2</sup>), while in pens this breed exhibited the smallest CSA (1219.6 &mu;m<sup>2</sup>), diameter (38.68 &mu;m), and perimeter (130.2 &mu;m). Fibre type distribution was not affected by any of the monitored parameters. The effect of interactions of the housing system and genotype was manifested mainly in physical and muscle fibre characteristics. &nbsp;
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20

Wang, Cheng. "Family House-Purchase Decision Model Based on Analytic Hierarchy Process." Applied Mechanics and Materials 423-426 (September 2013): 2973–76. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2973.

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Housing is the basic livelihood of the residents, and the residents need to consider many factors include the price, the quality, and the surrounding environment in the house-purchase decision. Aiming at the actual problem of family house-purchase decision, this paper established a family house-purchase decision model based on Analytic Hierarchy Process (AHP). Concretely, a hierarchical chart of family house-purchase is constructed based on four factors, i.e., housing price, housing quality, supporting facilities and traffic convenience degree, and then the decision method based on AHP is given to rank the order for the alternative commercial housings. It will provide the decision reference for feasible and effective decision-making of family house-purchase.
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21

Petkovic-Grozdanovic, Natasa, Goran Jovanovic, Branislava Stoiljkovic, and Mirko Stanimirovic. "Parameters for improvement of the housing quality in social housing dwellings." Facta universitatis - series: Architecture and Civil Engineering 12, no. 2 (2014): 149–60. http://dx.doi.org/10.2298/fuace1402149p.

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Experiences of the countries with developed social housing sector indicate that the role of social housing should not be treated in a limited manner, considered to be just a roof over one?s head, whereby housing quality will be neglected. Contemporary approaches to the development of social housing models are focused on users themselves, with a special concern for the housing quality. Because the units of social housing have the minimal size, it is necessary to provide such amenities so as to overcome the shortage of usable housing space. It is also desirable that the design of social housing dwellings should have a simulative effect on the tenants within this areas. This paper discusses the spatial and physical parameters which could affect the housing quality of this type of dwellings.
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22

Sirbu, Rodica, and Vadim Cujba. "Housing quality in the Republic of Moldova." Acta Scientiarum Polonorum Administratio Locorum 21, no. 1 (March 2, 2022): 139–51. http://dx.doi.org/10.31648/aspal.7105.

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Motives: The term “housing quality” is very complex and refers to all qualitative aspects of housing. In this context, the present study based on an extensive analysis of the literature that addresses various aspects of housing quality (monographs, landmark publications, international reports, methodological guides, normative and legislative acts, and statistical data) was developed. The particular case of the housing quality in the Republic of Moldova consists in the degree of comfort that the population benefits from the level of localities’ utility infrastructure.Aim: The study aims to provide an overview of the housing quality in the Republic of Moldova at national, regional, and local levels. Therefore, the main factors which influence the territorial distribution of structural indicators and their outstanding effects in the researched area were analysed.Results: The research results showed that the quality of housing in the Republic of Moldova depends on technical and economic development, thus major discrepancies between different categories of Administrative Territorial Units and Development Regions are registered.
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23

박정민, 이건민, and 오욱찬. "A Typology of Housing Vulnerability based on Housing Quality and Affordability." Korean Journal of Social Welfare Studies 46, no. 2 (June 2015): 101–23. http://dx.doi.org/10.16999/kasws.2015.46.2.101.

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24

Clark, Julie, and Ade Kearns. "Housing Improvements, Perceived Housing Quality and Psychosocial Benefits From the Home." Housing Studies 27, no. 7 (October 2012): 915–39. http://dx.doi.org/10.1080/02673037.2012.725829.

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25

Oladele, A. "Urbanization, housing and environmental quality indicators." Journal of Agriculture, Forestry and the Social Sciences 11, no. 2 (February 17, 2015): 51–56. http://dx.doi.org/10.4314/joafss.v11i2.5.

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The migration of human populations from rural to urban settlements known as urbanization in its most basic sense suggests an improvement in various facets of life. Urbanization ideally should also imply an enhancement of housing quality and other components of human settlements such as power supply, portable water, good roads, proper refuse and sewage disposal facilities, maintenance of ecological balance and a reduction in environmental pollution. Globally, the urbanization process has occurred in a disorganized and nearly uncontrollable manner. The spontaneity in growth of urban settlements has affected negatively several components of the urban fabric such that these components (previously mentioned) are either severely inadequate or non-existent in majority of instances where urbanization has taken place. Arguably, the success of any urbanization process can be measured by the quality of the environments produced and the housing stock found within such environments. This paper seeks to identify and evaluate the components of urban settlements that can be used as indices for establishing quality of our housing, environments and urban clusters particularly for the Nigerian context. The research methodology is a reconnaissance survey, field observation and comparison of four main areas within Ido Local Government Area of Ibadan, Oyo State, namely Apete, Elebu, Elenusonso and Ologuneru.Key words: Urbanization, Environmental quality indicators.
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26

Tang, Mingzhe, and N. Edward Coulson. "Housing Wealth, Fertility, and Child Quality." International Real Estate Review 25, no. 1 (March 31, 2022): 1–53. http://dx.doi.org/10.53383/100334.

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We use changes in wealth due to house price changes to test the effect of wealth on fertility and child quality in the context of Chinese fertility policies. We find, even in those situations where the one-child policy is not in effect, that wealth increases do not lead to increased fertility in urban areas, and have only a minuscule effect in the rural areas. However, a rise in housing wealth leads to increased expenditure on the education of children for households in both rural and urban areas (although different types of expenditure) and increased height of children in rural areas. Following Becker (1960), increased wealth shifts the tradeoff between child quality and quantity in favor of the former.
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27

Memken, Jean, and Maria Canabal. "Determinants of Housing Quality Among Minorities." Housing and Society 21, no. 2 (January 1994): 5–15. http://dx.doi.org/10.1080/08882746.1994.11430189.

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28

Chan, Albert P. C., Francis K. W. Wong, and Patrick T. I. Lam. "Assessing quality relationships in public housing." International Journal of Quality & Reliability Management 23, no. 8 (October 2006): 909–27. http://dx.doi.org/10.1108/02656710610688130.

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29

Evans, Gary W., Heidi Saltzman, and Jana L. Cooperman. "Housing Quality and Children’s Socioemotional Health." Environment and Behavior 33, no. 3 (May 2001): 389–99. http://dx.doi.org/10.1177/00139160121973043.

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30

Ormerod, Marcus. "Accessible housing: quality, disability and design." Ergonomics 51, no. 9 (September 2008): 1454–55. http://dx.doi.org/10.1080/00140130701682177.

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31

Kane, T. J. "School Quality, Neighborhoods, and Housing Prices." American Law and Economics Review 8, no. 2 (July 13, 2006): 183–212. http://dx.doi.org/10.1093/aler/ahl007.

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32

Son, Jae-Young, Yun-hi Won, and Choon-Geol Moon. "Changing Conditions and Quality of Housing." Social Indicators Research 62/63, no. 1-3 (April 2003): 211–37. http://dx.doi.org/10.1023/a:1022649301927.

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33

Talen, Emily, and Julia Koschinsky. "The Neighborhood Quality of Subsidized Housing." Journal of the American Planning Association 80, no. 1 (January 2, 2014): 67–82. http://dx.doi.org/10.1080/01944363.2014.935232.

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34

FEIJTEN, PETEKE, and CLARA H. MULDER. "Life-course Experience and Housing Quality." Housing Studies 20, no. 4 (July 2005): 571–87. http://dx.doi.org/10.1080/02673030500114474.

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35

Gifford, Robert, and Cécile Lacombe. "Housing quality and childrenȁ9s socioemotional health." Journal of Housing and the Built Environment 21, no. 2 (May 30, 2006): 177–89. http://dx.doi.org/10.1007/s10901-006-9041-x.

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36

Lowry, S. "Housing and health: Indoor air quality." BMJ 299, no. 6712 (December 2, 1989): 1388–90. http://dx.doi.org/10.1136/bmj.299.6712.1388.

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37

Lawrence, Roderick J. "Housing Quality: An Agenda for Research." Urban Studies 32, no. 10 (December 1995): 1655–64. http://dx.doi.org/10.1080/00420989550012294.

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38

Giannias, Dimitrios A. "Housing quality differentials in urban areas." Journal of Urban Economics 29, no. 2 (March 1991): 166–81. http://dx.doi.org/10.1016/0094-1190(91)90011-u.

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39

Wang, Nan-Yu, Jen-Yu Lee, and Chih-Jen Huang. "The Effect of the Principal Component Index for Housing Quality Satisfaction on Housing Price: Urban vs. Rural Analysis." International Journal of Economics and Finance 14, no. 10 (September 25, 2022): 63. http://dx.doi.org/10.5539/ijef.v14n10p63.

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The 2015 Questionnaire Survey on Housing Conditions by the Construction and Planning Agency surveyed four categories of satisfactions on housing quality: living convenience, surrounding environmental quality, satisfaction on interior environment, and satisfaction on exterior environment. This study pioneeringly investigates the effect of housing satisfaction on Taiwanese housing price for six municipalities and other rural area. Since the above four survey categories of housing quality are highly overlapping, to avoid variable interaction, we construct an index for housing quality satisfaction using principle component analysis to reduce dimensionality. After controlling the moderation effect of market condition, the results show that residential area, house age, floor location, and number of floors all significantly affect housing price. More importantly, the index for housing quality satisfaction is positively related to housing price, indicating that better housing quality helps in raising housing price. However, the positive relation does not exist in Taipei City or Kaohsiung City. Consistent with previous studies, stress on high housing price may weaken the need for quality consideration, especially the case of Taipei City. Finally, market variation does not lead to difference in the relation between housing quality satisfaction and housing price.
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40

Markham, John P., and John I. Gilderbloom. "Housing Quality among the Elderly: A Decade of Changes." International Journal of Aging and Human Development 46, no. 1 (January 1998): 71–90. http://dx.doi.org/10.2190/a6eq-fy4c-f4cf-18g9.

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Little research has been conducted on housing quality among the elderly. The fault lies partly with the lack of reliable data. Studies on elderly housing quality are spotty, anecdotal, and unsystematic. Many rely on decennial census data which provide a limited and unsatisfactory portrait of special housing needs of elders in general. This article seeks to fill this void by reporting a comprehensive study of elderly housing quality. For all units, logistic regression revealed that region and race are the most important predictors of housing inadequacy; tenure and the gender of the person living alone are moderately powerful influences upon inadequacy. Housing inadequacy is greater among blacks, in the South, for males living alone, and for renters.
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41

Rahayu, Ardiani Putri, Sharilla Aryananti Abidin, Afifah Faradilla Islami, M. Syafiq Hazlan Ruslan, and Kiki Adi Kurnia. "A Study on The Healthy Rental-Housing for College Students According to World Health Organization: Evidence from Surabaya City in Indonesia." Journal of Public Health for Tropical and Coastal Region 4, no. 3 (December 30, 2021): 125–31. http://dx.doi.org/10.14710/jphtcr.v4i3.10816.

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Introduction:Many college students live far from their parents to study to get a better higher education, so they occupy a rental-housing. However,many rental-housings do not meet the health standards according to the World Health Organization (WHO). Therefore, this study aiming at evaluating the rental-housing quality used by college students in Surabaya, Jawa Timur, Indonesia.Methods:This type of research is an observational study conducted with a descriptive observational design. The sample in this study was 52 college students who originated from outside Surabaya and currently living in the rental-housing in Mulyorejo, Surabaya, Indonesia.Results:The results present observational data from 52 student respondents who live in boarding houses including the overview of boarding houses condition, ventilation and air circulation condition, trash management, clean water and wastewater management, and toilet condition.Conclusion: Under the circumstance, this study was conducted to assess healthy rental-housing quality for college students, using the WHO's evaluation indicators. While some college students could afford to stay in proper and healthy rental-housing, some of them still suffer from lousy ventilation, the absence of clean water, and terrible trash management.
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42

Zebardast, Esfandiar, and Homayoon Nooraie. "Investigating the relationship between housing satisfaction and quality of life in the decayed historic areas of Isfahan using path diagram." Indoor and Built Environment 27, no. 5 (February 1, 2017): 645–57. http://dx.doi.org/10.1177/1420326x17690795.

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The aim of this paper is to survey the decayed historic areas of Isfahan (DHI) in order to determine the relationship between housing satisfaction and quality of life. The related literature on quality of life was reviewed and WHOQOL-BREF model was selected for measuring the quality of life as a whole; also, 17 indicators depicting the housing domain of quality of life were chosen for the purposes of this study. A multi-stage sampling technique was applied to data collection. For data analysis, firstly, the data obtained on 17 indicators of housing domain of quality of life were analysed using factor analysis. The factors extracted are housing quality, housing space, security of tenure and housing affiliation. Secondly, a path diagram was applied to obtain the relation between housing satisfaction sub-domains and the domains of quality of life as a whole. The results indicate that the housing space was the most effective sub-domain of housing on the domains of quality of life as a whole. We also found that in order to improve the housing domain of quality of life in the DHI, due attention should be paid to housing quality factor and to improve quality of life as a whole in these areas, it is also necessary to pay attention to housing space factor.
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43

Djafri, Riadh, Mariana Mohamed Osman, Noor Suzilawati Rabe, and Syafiee Shuid. "Algerian Housing Policies." Asian Journal of Environment-Behaviour Studies 4, no. 13 (May 1, 2019): 1–14. http://dx.doi.org/10.21834/aje-bs.v4i13.349.

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Despite being one of the richest countries in Africa, Algeria’s affordable housing is still out of reach for low and even middle-income Algerians. Nowadays, Algeria is still suffering from housing shortage in terms of quality, affordability and number of units. The paper describes the Algerian Housing Policies using qualitative method of semi-structured interviews. The findings revealed that new mechanisms need to be injected and the housing agencies structure need to adopt an effective local, regional and national policies to promote the housing sector in terms of its quality and adequacy to the Algerian society which certainly will improve the overall Algerian quality of life. Keywords: Housing policies; Housing quality; Algerian society; Quality of life eISSN 2514-751X © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/aje-bs.v4i13.349
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44

Hassan, M. Azren, Hazlina Hamdan, Jamalunlaili Abdullah, and Yusfida Ayu Abdullah. "Locatıon Housıng Affordabılıty: A quality of life ındıcator ın Malaysıa." Asian Journal of Quality of Life 3, no. 13 (August 26, 2018): 98–106. http://dx.doi.org/10.21834/ajqol.v3i13.166.

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To have quality of life is the ability to own a house. Housing affordability affects the quality of life concerning household well-being and economic security. The research sets to evaluate the location housing affordability for the low-income group base on housing and transportation expenditures in urban areas. 148 respondents have answered questionnaire and by using an integrated Location Housing Affordability, it had indicated that location does influence housing affordability. The findings showed the urban area for the low-income group is seriously unaffordable. “Location" should be part of affordable housing because it affects housing affordability thus concerning the quality of life.Keywords: Quality of life, Location housing affordability, Housing and transportation expenditure, Low income group.eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ajqol.v3i13.166
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Sadikoglu Asan, Hatice, and Ahsen Ozsoy. "The importance of user memory in understanding housing quality." International Journal of Building Pathology and Adaptation 36, no. 4 (August 13, 2018): 427–46. http://dx.doi.org/10.1108/ijbpa-02-2018-0017.

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Purpose Housing quality is determined by both objective and subjective dynamics. This research was conducted to explore the importance of users’ memory as a tool for assessing housing quality. While objective features of the surroundings generally require physical measurements, subjective features can be supported by residents’ memories. Memory studies can therefore be used as a research tool to understand the housing environment as they provide important references to the past, present, and future. The purpose of this paper is to explore the relationship between users’ (residents) memory and housing quality. Design/methodology/approach The methodology comprised a literature review of spatial quality studies and a field study of a modern housing estate in Istanbul. For the field study, housing quality was examined through the memories of residents in the neighbourhood, buildings, and units. With the research, site observations were made, a questionnaire was issued to residents, and in-depth interviews were conducted with residents who had lived there the longest. New dimensions of housing quality problems were then discussed in the conclusion with reference to residents’ memories. Findings Memory studies can be used as a research tool to understand the housing environment, as they provide important references to the past, present and future. In the conclusion, new dimensions of the housing quality problems were discussed with the help of the residents’ memories. It was seen that different dimensions of housing quality can be revealed with the help of user memory. Research limitations/implications In all, 40 of the total residents (101) accepted to make questionnaires. In-depth interviews were conducted with three long-term residents that are the only ones still alive and had lived the area since the beginning of the life after construction. Originality/value With the aim of developing new tools and methods to analyse housing quality, this research presents a new perspective by utilising users’ memories to evaluate spatial quality.
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Vaid, Uchita, and Gary W. Evans. "Housing Quality and Health: An Evaluation of Slum Rehabilitation in India." Environment and Behavior 49, no. 7 (September 23, 2016): 771–90. http://dx.doi.org/10.1177/0013916516667975.

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Slum rehabilitation programs in economically developing countries are designed to improve housing and enhance residents’ health and well-being. Yet no empirical research has directly investigated these objectives. Housing quality was assessed by trained raters on a walk-through among women in public housing as well as those currently in slums on wait-lists to relocate to public housing. Standardized, self-report measures of mental and physical health, quality of life, along with social ties in the neighborhood were assessed. Women who moved from slum housing to public housing manifest better physical and mental health but diminished social ties in comparison with women remaining in slum areas. Furthermore, housing quality, assessed by trained raters, largely explained the differences in health between the two groups. These quasi-experimental findings suggest that housing quality can enhance health and well-being of women, but that care must be taken to promote the maintenance of social capital following resettlement.
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Emmanuel, Jaiyeoba Babatunde. "“Housing Quality” To the Low Income Housing Producers in Ogbere, Ibadan, Nigeria." Procedia - Social and Behavioral Sciences 35 (2012): 483–94. http://dx.doi.org/10.1016/j.sbspro.2012.02.114.

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Mosley-Johnson, Elise, Rebekah J. Walker, Sneha Nagavally, Laura Hawks, Sanjay Bhandari, Hannah Trasser, Jennifer A. Campbell, and Leonard E. Egede. "Relationship between food insecurity and housing instability on quality of care and quality of life in adults with diabetes." PLOS ONE 17, no. 12 (December 6, 2022): e0278650. http://dx.doi.org/10.1371/journal.pone.0278650.

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Objective Examine the relationship between food and housing insecurities, quality of care and quality of life in adults with diabetes using a nationally representative data source. Methods Data from 39,604 adults with diabetes who indicated if they experienced food and/or housing insecurity in the Behavioral Risk Factor Surveillance System (2014, 2015, 2017) was analyzed. Outcomes included quality of care (HbA1c test, eye exam, diabetes education, foot check) and quality of life (general health status, poor physical and mental health days, poor overall health days). Logistic models were run for each quality of care measure and linear models were run for each quality of life measure adjusting for socio-demographics, insurance status, and comorbidity count. Results 35.6% of adults with diabetes reported housing insecurity, 31.8% reported food insecurity, and 23.4% reported both. After adjustment, food and housing insecurity was significantly associated with lower odds of having an eye exam (housing:0.73, 95%CI:0.63,0.85; food:0.78, 95%CI:0.67,0.92; both:0.69, 95%CI:0.59,0.82), worse general health status (housing:-0.06 95%CI:-0.11,-0.01; food:-0.16, 95%CI:-0.21,-0.10; both:-0.14, 95%CI:-0.20,-0.09), and an increased number of poor mental health days (housing:1.73, 95%CI:0.83,2.63; food:2.08, 95%CI:1.16,3.00; both:1.97, 95%CI:1.05,2.90). Food insecurity was also associated with lower odds of receiving diabetes education (0.86, 95%CI:0.74,0.99) and an increased number of poor physical health days (0.95, 95%CI:0.14,1.76). Conclusion Changes to our healthcare delivery system are critical to improving standards of care and quality of life in all populations and may require a shift towards consideration of overlapping social risk factors rather than the siloed approach currently used.
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Salama, Ashraf M., and Urmi Sengupta. "Editorial: Changing Paradigms in Affordable Housing, Quality, and Lifestyle Theories." Open House International 36, no. 3 (September 1, 2011): 4–6. http://dx.doi.org/10.1108/ohi-03-2011-b0001.

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Affordable housing has long been an important planning and design concern in large urban areas and around the peripheries of major cities where population growth has led to an increasing demand for descent housing environments. The issue of affordability has attracted researchers and scholars to explore planning and design determinants, financing mechanisms, cultural and social issues, and construction and building techniques. This interest has been the case for several decades since affordable housing themes have offered a rich research area that involves many paradoxes that keep presenting challenges for planners, architects, and decision makers. Housing costs are increasing in most cities and incomes are not increasing at the same rate. Governments, on the other hand, are unable to provide sufficient housing stock to bridge the gap between demand and supply due to decreasing housing budgets and the lack of investment.
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Sagdeeva, Lyudmila S., and Lyudmila N. Starikova. "Measurement of housing quality as a factor of life quality." Economics and innovation management, no. 3 (2018): 51–59. http://dx.doi.org/10.26730/2587-5574-2018-3-51-59.

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