Статті в журналах: "Housing choices"

1

Dieleman, Frans M. "Editorial: Modeling housing choices." Netherlands Journal of Housing and the Built Environment 11, no. 3 (September 1996): 201–7. http://dx.doi.org/10.1007/bf02496588.

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2

Ibrahim, Hatem, Bassma Aboukalloub, and Reem Awwaad. "Appraisal of Nationals and Expatriates Housing Choices in Metropolitan Doha." Open House International 44, no. 4 (December 1, 2019): 64–72. http://dx.doi.org/10.1108/ohi-04-2019-b0009.

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The case of metropolitan Doha presents a unique study that has witnessed several transition phases in the urbanization process. It has embarked in massive urbanization processes as part of the national planning vision. Nationals constitute 11% and expatriates constitute 89% of the total population of Qatar, which is environed by the government to manage the economic dynamism. Housing choice reflects the joint influences of government policies, housing market conditions, and personal factors such as housing preferences and the income level. The paper aims at studying housing choices for nationals and expatiates in metropolitan Doha through assessing the factors that limit housing choice for nationals and expatriates, providing policy recommendations to address the demand-supply gap in the market, and propose housing distribution in view of the developed housing choice framework. Three tools have been used: content analysis of reference data, questionnaire survey of housing preferences, and qualitative interview of experts' perceptions. This study has provided qualitative data on the issues of housing distribution and expansion in relation to housing choices. It has concluded baseline information for the nationals and expatriates housing distribution and the demographic dilemma.

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3

Ismail, Hafiszah, and Shazwan Mohamed Shaari. "THE LOCATION, HOUSE, OR NEIGHBOURHOOD CHOICE PREFERENCES AMONG MALAYSIAN HOUSING GENERATIONS." Journal of Surveying, Construction & Property 11, no. 2 (October 15, 2020): 64–74. http://dx.doi.org/10.22452/jscp.sp2020no1.6.

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Demographics and population have been evidenced as part of the key elements that affect property development. Changes in demographics specifically may influence the economy including the property market hence influences the generations. Behaviour and values divergences among various age groups (generations) resulted in a variance of housing choices and decisions made. The generations are the population categorised by the age cohort including the Baby Boomers, Generation X (Gen-X), Generation Y (Gen-Y) and Generation Z (Gen-Z). This study aims to offer a comprehensive overview of housing decisions via choices made between location, house, and neighbourhood between Malaysian generations. This study uses mixed methods approaches with the Selangor state as a case study. The Pair-wise and Analytic Hierarchy Process (AHP) methods of data analyses used for consumer behavioural decision-making studies were adopted in this study to determine the preferences of future housing choice between location, house and neighbourhood. The analysis uncovers house, location and neighbourhood as the prime housing choices factors of the Malaysian generations. The findings evidenced likeliness and differences of housing decision by generations on the choices made. Most importantly, the findings are significant in contributing better understanding and grant indications to the local authorities and housing developers on the main attraction factors of housing choice preferred by generations that may be very valuable for the enhancement of future Malaysian housing provisions.

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4

Nguyen, Linh Le Dieu. "The Influence of Motivation Factors on Housing Choice of Migrants in Ho Chi Minh City." DEMIS. Demographic Research 4, no. 1 (March 29, 2024): 101–15. http://dx.doi.org/10.19181/demis.2024.4.1.7.

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This study aims to assess the impact of motivational factors on the housing choices of rural-to-urban migrants. The motivations leading to housing choices include migration reasons, life events, and satisfaction with housing. The author suggested a research model with three hypotheses and conducted a survey between migrant people living in Ho Chi Minh City, Vietnam to test these hypotheses. There are several notable findings in this study. Firstly, the first hypothesis was accepted as factors related to both economic and non-economic values have a positive impact on housing choices. This aligns well with the reality that the majority of individuals aged 25–45 consider this as their primary goal when migrating to the city and searching for housing. Secondly, changes in current life circumstances can lead to changes in housing choice intentions. Thirdly, a significant finding of the research is that most individuals with an intention to change their place of residence do so because they are dissatisfied with the housing conditions or prices. In this research, housing satisfaction is an even more significant factor influencing housing choice intentions than life events and economic and noneconomic values. This study has some limitations, as it is necessary to clarify other factors, because only motivation may be impossible to change housing choice intentions. It is suggested that a number of other factors, such as opportunities or migrants’ capabilities could also influence the moving intentions.

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5

Maclennan, Duncan, Moira Munro, and Gavin Wood. "Housing Choices and the Structure of Housing Markets." Scandinavian Housing and Planning Research 4, sup1 (January 1987): 26–52. http://dx.doi.org/10.1080/02815737.1987.10801423.

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6

Zinas, Bako Zachariah, and Mahmud Mohd Jusan. "Choice Behaviour of Housing Attributes: Theory and measurement." Asian Journal of Environment-Behaviour Studies 2, no. 2 (January 1, 2017): 23–37. http://dx.doi.org/10.21834/aje-bs.v2i2.175.

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Preferences and choices in a society are constant dynamic operations, made based on the behavioural dynamism of people. In this cosmic dynamism, they keep shifting from one stage to another, within the same cosmic space. Housing preferences and choices, like any other life interests, therefore operate within this framework. Unlike merchandised products brands, housing brands are hardly known, probably because of the heterogeneous nature of the housing product - the house. However, very little is known about the relevant housing attributes (refer to page 7). Housing preferences and choices operate within the framework of preferences and choices for housing attributes. In any preference and choice activity, there are underlying motivations that make it possible for an individual to choose from available alternatives within a given product field. This paper examines and outlines the methodological and theoretical framework of housing preferences and choices, based on the theory of means-end chain (MEC). Previous MEC applications in the field of architecture and urban design have been very useful and successful. The paper attempts to explore from literature the possibility of extending the previous methods and their applicability in design process. In dealing with user preference for housing, there is a need for research for a development of a technological tool to identify user needs and preference, and the kind of decision support that is required to identify these needs. Keywords: housing preference and choice, means-end chain, laddering technique, models. © 2017 The Authors. Published for AMER ABRA 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, UniversitiTeknologi MARA, Malaysia.

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7

Kaluthanthri, P. C., and K. H. M. S. B. Jayawardhana. "Exploring the Complexities of Millennial Housing Choices: An Analysis of the Influence of Neighborhood Factors." Journal of Real Estate Studies 19, no. 02 (December 31, 2022): 93–122. http://dx.doi.org/10.31357/sljre.v19i02.6356.

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The varied behaviors and values exhibited by individuals from different age groups have had a significant impact on the availability of housing options in the residential market. Housing preferences are highly personalized, with observable differences in choices across generations. In today's housing market, the most influential consumer group is the millennial generation, born between 1981 and 1996, who are considered to be optimistic, open-minded, innovative, confident, motivated, and intelligent. The housing choices made by millennials are particularly influential in the performance of the housing market, and the factors associated with neighborhoods have played a critical role in determining such choices over recent decades. Nevertheless, previous studies have primarily focused on the general housing buyer's perspective, without considering the unique perspectives of the millennial generation. In this context, this study seeks to investigate the diverse neighborhood factors that shape the housing decisions of millennials in Colombo district, Sri Lanka. Four dimensions of neighborhood factors were identified as social neighborhood, natural environment, neighborhood safety, and accessibility, and hypotheses were tested for each dimension concerning housing choices, which were evaluated as a single dependent variable. The study employed a sample of 145 millennials in Colombo District, with data collected through a survey questionnaire utilizing the convenience sampling technique. PLS-SEM was used for data analysis. The results suggest that accessibility has a significant impact on housing choices, while natural environment has a moderate influence. In contrast, the research showed that neighborhood safety minimum influence on the housing choices of millennials. The finding confirms that social neighborhood does not have a significant impact on housing choice. The result of the study makes significant implications for real estate market investors and planning professionals, as it provides insight into the neighborhood factors that impact a buyer's purchasing decision and enhances understanding of millennial consumer behavior in urban areas.

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8

Hwang, Man-yeon, and Sungyong Kim. "Housing Occupancy Patterns of Elderly Households: A Group-Based Comparative Analysis." Korea Real Estate Society 73 (September 30, 2024): 163–84. http://dx.doi.org/10.37407/kres.2024.43.3.163.

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This study analyzes the determinants of housing tenure choices and housing demand among elderly households in Korea using data from the Korea Labor and Income Panel Study. The Heckman selection model is employed to address sample selection bias and to simultaneously account for both housing tenure choice and housing demand. The results show that housing tenure choices and housing demand differ across various age groups of elderly households and are influenced by multiple factors, such as income, assets, housing costs, gender, household size, and location. In particular, elderly households tend to maintain homeownership despite a decline in income after retirement, and they tend to downsize their housing due to the burden of housing costs. The findings of this study suggest the need for tailored housing policies that take into account the diverse characteristics of elderly households in an aging society.

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9

Hwang, Man-yeon, and Sungyong Kim. "Housing Occupancy Patterns of Elderly Households: A Group-Based Comparative Analysis." Korea Real Estate Society 73 (September 30, 2024): 163–84. http://dx.doi.org/10.37407/kres.2024.42.3.163.

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This study analyzes the determinants of housing tenure choices and housing demand among elderly households in Korea using data from the Korea Labor and Income Panel Study. The Heckman selection model is employed to address sample selection bias and to simultaneously account for both housing tenure choice and housing demand. The results show that housing tenure choices and housing demand differ across various age groups of elderly households and are influenced by multiple factors, such as income, assets, housing costs, gender, household size, and location. In particular, elderly households tend to maintain homeownership despite a decline in income after retirement, and they tend to downsize their housing due to the burden of housing costs. The findings of this study suggest the need for tailored housing policies that take into account the diverse characteristics of elderly households in an aging society.

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10

Nurdini, Allis, and Ismet Belgawan Harun. "Spatial Bounded-Choice Behaviour within the Consumer of Rental Housing in Bandung, Indonesia." Journal of ASIAN Behavioural Studies 2, no. 3 (April 1, 2017): 95. http://dx.doi.org/10.21834/jabs.v2i3.194.

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The availability of choices for housing in different life phases is essential. The critical valuation from consumers becomes instrument to the quality control of housing supplied by producers. However, some consumers like students have unique characteristics, which potentially bound their housing choices. This paper describes the spatial bounded-choice phenomena from the situation of the students’ behaviour in Bandung, Indonesia as a Case Study. The factual and perceptual conditions of the students’ rental housing situated around the university in Bandung; the conditions of the housing choice; the factors which bound the student’s housing choice; and the formulation strategies of intervention to overcome the bounding factors are explored. Keywords: bounded choice, students’ behaviour, rental housing, housing quality © 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-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.

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11

Ismail, Hafiszah, and Shazwan Mohamed Shaari. "Housing decision: the choice between location, house and neighbourhood among malaysian generations." MATEC Web of Conferences 266 (2019): 01026. http://dx.doi.org/10.1051/matecconf/201926601026.

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Literatures on property development evidence demographics and population as one of the main factors influence property development process. Demographic changes would affect the economic and the property market thus contributes to dramatic change that affects the generations. The differences of attitudes and values between generations resulted diversification of housing decisions and the choice made. The generations are the population categorised by the age cohort; namely The Baby Boomers, Generation X (Gen- X), Generation Y (Gen-Y) and Generation Z (Gen-Z). The aim of this study is to provide an in-depth overview on housing decisions of choices made between location, house and neighbourhood among Malaysian generations. This study employs mixed methods approaches with Selangor, Malaysia as case study. The data were analysed using the Pair-wise and Analytic Hierarchy Process (AHP). The analysis reveals the Malaysian generations’ housing choices as; (1) House; (2) Location and; (3) Neighbourhood. The findings show similarities and differences of housing decision by generations on the choices between location, house and neighbourhood. The findings is significant in providing better understanding to the actors of property development on the main housing choice attraction factors of the generations which useful for better housing provisions.

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12

Mollenkopf, John, and Kenneth K. Wong. "City Choices: Education and Housing." Political Science Quarterly 106, no. 1 (1991): 168. http://dx.doi.org/10.2307/2152205.

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13

Fu, Yuming. "Uncertainty, liquidity, and housing choices." Regional Science and Urban Economics 25, no. 2 (April 1995): 223–36. http://dx.doi.org/10.1016/0166-0462(94)02067-q.

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14

Trucchi, Serena. "CREDIT MARKETS AND HOUSING CHOICES." Bulletin of Economic Research 68, S1 (November 23, 2015): 1–19. http://dx.doi.org/10.1111/boer.12063.

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15

Ermisch, John, and David J. Pevalin. "Early childbearing and housing choices." Journal of Housing Economics 13, no. 3 (September 2004): 170–94. http://dx.doi.org/10.1016/j.jhe.2004.07.001.

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16

Huynh, Thuy Tien, and Dang Thuy Truong. "Generations, permanent income and housing tenure choice: A multinomial logit model approach." Decision Science Letters 13, no. 1 (2024): 171–80. http://dx.doi.org/10.5267/j.dsl.2023.10.003.

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This paper examines how generational cohorts influence households’ choices regarding housing tenure and considers the diverse preferences and socio-economic factors that shape decisions—using survey data on 425 families in Ho Chi Minh City, Vietnam. The data is analyzed using a multinomial logit model. The results indicate that generation significantly positively affects housing tenure choice, such that, unlike older cohorts, younger generations are more inclined to rent houses as their preferred housing option. Furthermore, permanent income plays a significant role in shaping housing tenure choices. On the other hand, social-economic variables, namely education, gender of references, family structures, and area of residence, were significant in influencing housing tenure decisions. This finding highlights the importance of housing policies prioritizing affordable and accessible rental options in large cities.

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17

Okon, Inah Eteng, and Mark Egbe Ikelegu. "Assessment of residential housing choices, quality, and affordability in Calabar Metropolis, Southern Nigeria." Humanities & Social Sciences Reviews 9, no. 5 (September 23, 2021): 35–46. http://dx.doi.org/10.18510/hssr.2021.956.

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Purpose of the study: This paper examined the housing quality, its affordability as well as the housing choices which residents of Calabar can make. Housing needs in the city continue to rise in response to rapid urbanization rates and thus lead to high housing demands. Methodology: About 384 questionnaires were distributed randomly within six purposively delineated housing districts in Calabar with a 78 percent success rate. The stratification covered all the housing types, from the low to medium and the high classes. The coordinates of respondents were also collected for spatial analyses in which the inverse distance weighted (IDW) interpolation method was used to create housing choice maps in the identified districts of the city. The Chi-square statistics were used to test the statistical significance of the created contingency tables. Main Findings: Significant relationship exist between housing affordability and housing quality ((f) = 11.463, p-value = 0.022 (p < 0.05)), and between average monthly income and expenditure on rented residential housing in Calabar ((f) = 539.473, p-value = 0.000 (p < 0.05)). Housing in the metropolis is not affordable to about 80% of residents who expend more than 30% of their income on housing. Applications of this study: This study helps shape the policy direction of government in housing provision and such, encourage private developers in the sector. Novelty/Originality of this study: Previous studies only addressed housing cost and provision, not a choice, quality, and affordability. This is the first study to address residential housing choices, quality, and affordability in the Calabar metropolis, involving a cross-sectional survey questionnaire. The results will be helpful to developers, homebuyers, and policymakers alike towards affordable housing delivery in Calabar and others. African cities.

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18

Siagian, Yessica. "SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN PERUMAHAN TERBAIK DI ASAHAN MENGGUNAKAN ANALYTICAL HIERARCHY PR OCESS (AHP)." JURNAL TEKNOLOGI INFORMASI 1, no. 1 (June 1, 2017): 80. http://dx.doi.org/10.36294/jurti.v1i1.107.

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Abstract - The rapid growth of housing in Asahan has actually caused business competition among unhealthy housing developers. Problems that often arise due to unfair competition between developers are developers trying to market their housing without taking into account the quality and legality of the housing to be built. The choice of housing can provide convenience to consumers in determining housing choices from the value of the comparison of each housing chosen by the community. The problem to be discussed in this study is how to choose the right housing using the Analytical Hierarchy Process (AHP) method. Keywords - SPK, Housing, Election

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19

Verdugo, Gregory. "Public housing magnets: public housing supply and immigrants’ location choices." Journal of Economic Geography 16, no. 1 (January 9, 2015): 237–65. http://dx.doi.org/10.1093/jeg/lbu052.

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20

Gluszak, Michal, and Bartlomiej Marona. "Discrete choice model of residential location in Krakow." Journal of European Real Estate Research 10, no. 1 (May 2, 2017): 4–16. http://dx.doi.org/10.1108/jerer-01-2016-0006.

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Purpose This paper aims to discuss the link between socio-economic characteristics of house buyers and their housing location choices. The major objective of the study is an examination of the role of household socio-economic characteristics. The research addresses the importance of previous residence location and latent housing motives for intra-urban housing mobility. Design/methodology/approach The research examines housing preferences structure and analyzes housing location choices in the city of Krakow (Poland) using discrete choice model (conditional logit model). The research is based on stated preference data from Krakow. Findings The results of this study suggest that demand for housing alternatives is negatively linked to the distance from current residence. Other factors stay equal, the further the distance, the less likely a household is willing to choose a location within the metropolitan area. The study indicates that housing motives can help explain housing location decisions. Practical implications The paper provides an empirical assessment of housing decisions in Krakow, one of the major metropolitan areas in Poland. Originality/value The paper contributes to a better understanding of the nature of housing decision and housing preferences in emerging markets in Central and Eastern Europe. As a result, presented research helps to fill the gap in housing market and urban economics literature.

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21

Abhijat, Amrit, and Anukriti Pathak. "Mobility and Choices in Urban Housing." Environment and Urbanization ASIA 14, no. 1 (March 2023): 131–41. http://dx.doi.org/10.1177/09754253231161022.

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The Pradhan Mantri Awas Yojana–Urban (PMAY-U) emerged as a bold programme initiative catering to the diverse housing demand of an aspirational urban population of the country. This article analyses the choices beneficiaries made on the types of houses and how they shaped the design and evolution of the PMAY-U, Housing for All Mission. It builds on the narrative that cities in India have both static and kinetic traits. The static trait accrues from the physical infrastructure, whereas the kinetic is a manifestation of the growing socio-economic aspirations of the people, creating spaces for demand-driven housing policies. It then explains the design and implementation of the policy: PMAY-U. The article subsequently takes up the role of the government and the role of stakeholders in the housing development narrative. It presents spatial evidence as to how PMAY-U is giving rise to new urban geographies which are driven by the need and demand of the beneficiaries.

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22

Börsch-Supan, Axel. "Panel data analysis of housing choices." Regional Science and Urban Economics 20, no. 1 (June 1990): 65–82. http://dx.doi.org/10.1016/0166-0462(90)90025-x.

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23

Jansson, Thomas. "Housing choices and labor income risk." Journal of Urban Economics 99 (May 2017): 107–19. http://dx.doi.org/10.1016/j.jue.2016.12.006.

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24

Zippay, Allison, and Amanda Thompson. "Psychiatric housing: Locational patterns and choices." American Journal of Orthopsychiatry 77, no. 3 (2007): 392–401. http://dx.doi.org/10.1037/0002-9432.77.3.392.

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25

Yates, Judith, Maryann Wulff, Andrew Beer, Bill Mudd, Tu Yong, David Wesney, Ian Winter, and Gavin Wood. "Australia's housing choices: Retrospect and prospect." Urban Policy and Research 19, no. 4 (December 2001): 415–24. http://dx.doi.org/10.1080/08111140108727891.

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McCARTHY, KEVIN F. "THE HOUSEHOLD LIFE CYCLE HOUSING CHOICES." Papers in Regional Science 37, no. 1 (January 14, 2005): 55–80. http://dx.doi.org/10.1111/j.1435-5597.1976.tb00968.x.

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27

Bahri, H. P. "Housing choices of the urban poor." Social Change 18, no. 4 (December 1988): 22–26. https://doi.org/10.1177/0049085719880405.

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Flambard, Véronique. "Demand for housing choices in the north of France: a discrete approach." Journal of European Real Estate Research 10, no. 3 (November 6, 2017): 346–65. http://dx.doi.org/10.1108/jerer-11-2016-0038.

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Purpose This research aims to analyse the housing demand in northern France with respect to socio-demographic variables and the distance between the residence and the workplace. Design/methodology/approach Econometrics with discrete choice models are used to study the three main dimensional choices of housing demand: tenure, type and location. A contribution is to use a heteroscedastic logit model where the variance of the error term is allowed to differ over alternatives and to capture in particular the heterogeneity of tastes. As a matter of fact, household characteristics are very likely to influence the magnitude of the scale parameter in the choice of housing alternatives and then influencing the results if it is not taken into account. Applications for housing demand are nearly non-existent. This paper fills this gap. Findings Econometric estimation confirms that residential choices are influenced by age, income and size of the household, as well as by the rent-to-income ratio. An increase in any of these variables decreases the probability of choices of all the alternatives other than the most often chosen alternative (which is for this application house ownership in the suburb). Moreover, the distance to work systematically influences the housing choice for single-parent families and two-earner households. Additionally, preferences are found to significantly differ between local housing markets, specifically between Lille (a large agglomeration and capital city of the North area) and Dunkerque (an industrialised area). The geographical areas are defined based on INSEE employment zones (“zones d’emplois”). Research limitations/implications This research has been performed for the north of France and may not hold for other areas even though the methodology can be replicated and the mechanisms at play are quite similar elsewhere. Practical implications An important conclusion for sustainable development is the importance to improve city centre amenities relative to those of the suburb or to increase the services associated with high-density dwelling because clearly the most desired alternative remains a house in the suburb. The housing market in the Dunkerque area has some special features characterised by a strong industrial landscape (with port and heavy-duty industrial activities). In this context, amenities provided by the city centre offset the strong attraction of a house in the suburb. Social implications This research shows that households with similar characteristics tend to prefer the same type of real estate property. Therefore, to avoid social segregation, it is important that housing supply respond to different household preferences and needs in the different segments of the housing market. Moreover, the housing supply should take into account the specificities of the geographical areas (both in terms of population who may have a different profile) and in terms of amenities. Originality/value This research is one of the very few conducted ones on discrete housing choices in France (with the notable exception of De Palma et al., 2007 for the choice of location). Three simultaneous choices are considered: tenure (including social housing which is almost always ignored), type of building and location. The authors have shown that it is important to take into account the heterogeneity of the preferences in the econometric model with a heteroscedastic logit model.

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ALKAY, Elif. "HOUSING CHOICE STRUCTURE: EXAMPLES OF TWO DIFFERENT-SIZE CITIES FROM TURKEY." International Journal of Strategic Property Management 19, no. 2 (June 19, 2015): 123–36. http://dx.doi.org/10.3846/1648715x.2015.1029563.

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The distribution pattern of housing in any urban area will be extremely diverse and heterogeneous. The shape of this pattern depends on intrinsic properties of the housing units themselves as well as on accessibility, environmental quality and the capacity and quality of previously constructed housing stock. How do households make their choices and distribute themselves among such diverse housing areas? The aim of this investigation is to put the factors that could define the choice structure of households by focusing on two different-size cities in Turkey: the Istanbul Metropolitan Area (IMA), where the housing choice is expected to dependent upon economic behavior of households, and Bandırma (BND), a medium-size city, where the housing market is relatively weaker and the choice structure is expected to dependent upon the limited opportunities of supply. The investigation results show that households’ socio-economic characteristics dominate the choice structure in the IMA parallel to the expectation. Housing properties have a more notable impact on the choice structure in BND that acknowledged the relative limitation of the housing market.

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30

Jones, Andrea. "Housing choices in later life as unclaimed forms of housing activism." Contemporary Social Science 12, no. 1-2 (April 3, 2017): 138–52. http://dx.doi.org/10.1080/21582041.2017.1334127.

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31

Gomaa, Mohammed M. "Macro-Level Factors Shaping Residential Location Choices: Examining the Impacts of Density and Land-Use Mix." Land 12, no. 4 (March 27, 2023): 748. http://dx.doi.org/10.3390/land12040748.

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Many published papers have delved into the factors affecting the residential location choices of households using various logit models. Nonetheless, only a few pieces of literature have attempted to examine those associative attributes from a macroscopic view. Thus, this article investigates the factors that influence households’ preference to reside in densely populated locations or regions with a wide variety of land-use types using ordered choice models (ORM). This study proposes three indicators that are reflective of residential areas, namely population density, housing density, and land-use mix index, based on prior research. Population density and housing density are modeled at census block and tract levels to explore households’ sensitivity to different geographical scales. Regarding land use, this research classifies the diversity index into four categories: uniform, moderately diverse, more diverse, and the most diverse. Similarly, the study is predicated on 0.25-mile and 0.5-mile buffer zones. The findings are consistent with earlier research and highlight macro-level issues that influence residential location decisions. As for the residential preference for housing density, significant factors are the structure of households, the number of vehicles per household, and household income. Regarding the residential choices of population density, significant attributes refer to demographic characteristics, household income, and housing types. Concerning the residential choices based on land-use mix, the most influential factors turn out to be the interacting terms between demographics and housing-related index, household income, and housing-related indexes.

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Bender, Annah, Molly Metzger, Vithya Murugan, and Divya Ravindranath. "Housing Choices as School Choices: Subsidized Renters’ Agency in an Uncertain Policy Context." City & Community 15, no. 4 (December 2016): 444–67. http://dx.doi.org/10.1111/cico.12204.

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Previous scholarship on the federal Housing Choice Voucher (HCV) program has found that HCV renters are less likely than other households living below the poverty line to live in neighborhoods with high–performing schools. These findings are troubling because HCV renters have some choice about where they live, yet aggregate data linking HCV renters’ neighborhoods with school performance shows that renters tend to be concentrated in impoverished areas with poor schools. To better understand whether and how schools factor into HCV renters’ neighborhood preferences when searching for a home, semistructured interviews with 17 HCV heads–of–household in the St. Louis region were conducted. Findings from this project reveal that some HCV renters prioritize school choice when deciding to move, sending their children to schools that may or may not be located within their neighborhood. A minority of families in this study actually enrolled their children in the school district indicated by their address. Three families had intentionally moved to unaccredited districts to take advantage of a transfer law that allowed students in unaccredited school districts to attend an out–of–district school. Although not a direct counterpoint to previous scholarship, these findings lend some balance to the idea that HCV renters are compelled to live in districts with lower property values and thus lower performing schools than other households receiving government assistance. HCV renters encounter many constraints on their choice of housing and neighborhood, and legacies of racism, housing discrimination, and predatory landlords may indeed limit renters to poor neighborhoods with underperforming school districts, but as interviews with 17 participants with school–age children demonstrate, their children may not be attending their neighborhood schools after all. These findings help contextualize HCV renter concentration in low–income neighborhoods, while further research is needed to address the education and housing policy ramifications of this work on a national scale.

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Olatunji, Ayodele Isaac. "Characterising Real Estate Value as Co-determinant of Housing Choice Optimality in Nigeria." Journal of African Real Estate Research 5, no. 2 (December 20, 2020): 106–32. http://dx.doi.org/10.15641/jarer.v5i2.861.

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Nigeria remains classified as a lower middle-income nation. Among middle-income households (MIHs), there exists an idea that real estate value is central to housing well-being, but the significance of the anecdote has not been empirically established.The principal aim of this study is to characterise real estate value (REV) as a co-determinant of optimality, the adopted proxy for housing well-being, through regression modelling of selected MIHs in Abuja and Minna, Nigeria. This study examined the impact of REV as well as the effects of four other pertinent variables (household income, commuting cost, workplace distance and household activity pattern) on housing choice optimality in Nigeria. Using primary and secondary data from purposively selected MIHs in Abuja and Minna, the study employed multiple regression to explore the relationships among the variables. The results show that the housing optimality model has a reasonable predictive explanation of approximately 57% - 77% for the explanatory variables. The study's findings also reveal that household income, real estate value and activity patterns have significant effects on housing choice optimality, albeit with varying magnitudes across the two cities. It is worth noting that the t-statistic ranges between -5.20(Abuja) and -2.12(Minna), thus implying that REV impacts optimality negatively and that REV is a burden which households must bear in order to secure the right to an apartment of their choices. The study concludes that given the real estate value, the consequential housing choice optimality could be predicted across different housing markets in Nigeria as a decision-support guide for rental seekers. Furthermore, given the consistency of these results with earlier studies, this work provides greater knowledge on the lifecycle of housing choices and realities in Nigeria. By adapting and extending the optimality idea to real estate, this study has made an important contribution to the discourse of optimal rental housing.

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Baxter, Kate, and Caroline Glendinning. "The Role of Emotions in the Process of Making Choices about Welfare Services: The Experiences of Disabled People in England." Social Policy and Society 12, no. 3 (March 1, 2013): 439–50. http://dx.doi.org/10.1017/s1474746413000055.

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Choice is central to developments in many areas of welfare. Making choices, for example about health, social care, employment and housing, can be very emotional. This article draws on theories from experimental psychology and behavioural economics to analyse empirical evidence from a longitudinal, qualitative study of support-related choices. It argues that if people are expected to make emotion-laden choices, and to minimise negative aspects associated with the process of making a choice, they need to be supported in doing so. It contributes to the limited evidence and debate to date about the process costs to individuals of choice.

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Jones, Emily. "The Impact of Housing Market Regulation Policies on the Housing Choice Behavior of Urban Residents." International Journal for Housing Science and Its Applications 45, no. 3 (September 30, 2024): 98–107. http://dx.doi.org/10.70517/ijhsa4539.

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Abstract Housing is a social and developmental issue of public concern, which is related to the personal interests of every household and the people’s “living in a home”. The article quantifies the housing choice behavior of urban residents by the ring index of residential housing purchase price, and solves the problem of sample selection error by using the propensity to match score to match the experimental group and the control group. A double difference model is used to analyze the net effect of the implementation of housing market regulation policies on urban residents’ housing choice behavior. Parallel trend test in the experimental and control groups before and after the implementation of housing market regulation policies in 2018 shows significant differences, the ATT value of HSB after propensity score matching is positive, and the sample mean of the control group is 0.452 lower than that of the experimental group. The coefficient of the effect of housing market regulation policies on the behavior of urban residents’ housing choices is 0.351 and shows significance at the 1% level. The active implementation of housing market regulation policy can help optimize the housing purchase price index, which in turn stimulates the housing choice behavior of urban residents and promotes the stable and healthy development of the housing market.

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Cromley, Ellen K., and Stephen M. Golant. "Housing America's Elderly: Many Possibilities/Few Choices." Geographical Review 83, no. 4 (October 1993): 485. http://dx.doi.org/10.2307/215833.

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Boldy, Duncan, and Leonard Heumann. "Housing Options and Choices for the Elderly." Home Health Care Services Quarterly 7, no. 1 (June 10, 1986): 59–68. http://dx.doi.org/10.1300/j027v07n01_05.

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Wilhelmsson, Mats. "Housing Choices of Young Adults in Sweden." Real Estate 1, no. 1 (December 12, 2023): 4–25. http://dx.doi.org/10.3390/realestate1010002.

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This study investigates why young adults live with their parents in Sweden. As young adults’ living arrangements affect decisions about marriage, education, childbirth, and participation in the workforce, more knowledge for policymakers is crucial to implementing effective policies to support young adults and promote financial independence and well-being. Using a data set from 1998 to 2021 at the municipal level in Sweden, we used a spatial autoregressive panel data model to examine the proportion of young adults living at home and the regional disparities. The study uncovered intraregional variations that illustrate how different municipalities in Sweden exhibit different patterns of young adults living at home. Our findings reveal that economic factors such as unemployment significantly impact this pattern. Housing market dynamics, demographic factors, cultural differences, and location-specific characteristics also play an essential role in explaining this pattern. These findings suggest that the key drivers are the lack of rental housing, high unemployment rates, a high degree of urbanisation, interregional migration, and social capital (such as social cohesion and inclusion).

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Lespagnard, M., W. Galle, and N. De Temmerman. "Financing and management models as a design tool for circular housing projects." IOP Conference Series: Earth and Environmental Science 1363, no. 1 (June 1, 2024): 012109. http://dx.doi.org/10.1088/1755-1315/1363/1/012109.

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Abstract Can financing and management models for housing projects guide the design of more circular and inclusive housing solutions? A growing housing crisis in Europe intensifies the pressure on traditional support measures, limiting access to equitable housing. But what if environmental solutions could aid in answering the housing problems our cities are facing? Circular strategies, facilitating reuse and recycling, have the potential to enhance long-term affordability. However, their adoption is hindered by a lack of understanding of the correlation between specific circular design choices and socio-institutional parameters, including management and financing models. This research applies the qualitative comparative analysis (QCA) method to study 22 existing housing projects. The method allows to establish connections between three circular design choices (reuse, two types of adaptable design) and the distinct characteristics of housing projects. Data was collected through site visits, workshops and semi-structured interviews with architects, housing-cooperatives, policymakers, and housing companies in European countries. As a result, the study provides recommendations for designers, policymakers, and project initiators and managers. Furthermore, we identified missed opportunities for linking circular design strategies to project characteristics. The results could assist in making better-informed design choices related to specific contexts.

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Adeniran, Adetayo Olaniyi, Adedayo Ayomide Adeniran, and Mujidat Iyabo Adedigba. "Choice determinants of housing in Akure, Nigeria." Journal of Contemporary Research in Social Sciences 6, no. 1 (July 8, 2024): 39–47. http://dx.doi.org/10.55214/26410249.v6i1.1033.

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Since every person and household is different and is impacted by different elements, housing preferences and choices vary continually. To emphasize the elements in the research area, the study delved into a variety of factors that influence housing decisions in the low and medium-density areas in Akure. The study used both analytical and descriptive methods. Reliable data and information were obtained by using a case study technique with a questionnaire survey. The study area’s housing choices are significantly influenced by socioeconomic characteristics and the ease of commuting inside the city. These results suggest that because of the potential long-term effects, planners, public and private stakeholders should actively recognise and address local requirements for housing. Since the majority of respondents in low-density residential neighborhoods have higher incomes than those residing in the medium-density areas, they will likely choose a respectable home with superior finishing and transport accessibility as it commensurate their source of livelihood and status. The middle-class populations are particularly concerned with transport accessibility and closeness to their places of employment to minimize additional costs associated with commuting and transactions. The study shows that the quality of the housing features and its characteristics have a major impact on their choice of housing. Based on the findings, recommendations were made.

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Ahmed, Iftekhar. "Lifestyle and Affordability Choices in Traditional Housing of Old Dhaka." Open House International 36, no. 3 (September 1, 2011): 74–84. http://dx.doi.org/10.1108/ohi-03-2011-b0008.

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Affordability and lifestyle choices in housing are critical to meet basic human needs for shelter, security and wellbeing. The meaning of a house for a particular group of people and what is ‘affordable’ for a particular community is the critical issue. Dhaka, the capital of Bangladesh, has greater population density and rate of expansion compared to almost any other mega cities of Asia. The historic core of the city known as old Dhaka is a combination of several traditional neighborhoods. Houses in these traditional neighborhoods are not only places to live, rather an integral unit of a social system, having a good mix of place of work and individual expression in living. They also show flexibility and adaptability (with more scope for personalization and individual life style choices) compared to the contemporary housing stock. One of the success factors in these traditional houses is the healthy mix of the income ranges to avoid a ghetto effect of low cost housing. The recent rapid urbanization has led to a discontinuity of the traditional housing form of old Dhaka, leading to a disintegration of the mix of lifestyle choices and affordability. Following popular market trends, they are often replaced by housing blocks in a higher density ignoring the need for a diverse mix. This paper studies the traditional housing of old Dhaka with two case study neighborhoods. Several elements of housing like the common price, materials and construction, space layout, scale, social space, facades, street interface, etc are selected for a qualitative study. Local residents interview, archival records, maps, Plans, figure-ground, aerial images are used to analyze, identify and demonstrate the elements that made them socio-culturally sustainable and affordable for the community. With the analysis, lessons from the traditional housing form that may contribute to the new housing in Dhaka are identified.

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Bako, Zinas Zachariah, and Mahmud Mohd Jusan. "Housing Floor Finishes Choice-Behaviours and Motivations." Journal of ASIAN Behavioural Studies 2, no. 3 (April 1, 2017): 63. http://dx.doi.org/10.21834/jabs.v2i3.192.

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The quality of finishes of housing space is imperative for the achievement of a qualitative living environment. This paper presents a part of the findings of housing interior finishes choices – behaviour and motivation among prospective house owners in Nigeria. The study was conducted within the methodological and conceptual frameworks of Means-End Chain (MEC) and Stated Housing Preference and Housing Choice (SHPHC) models. A questionnaire survey and semi-structured interviews were used to generate data which were content analysed. The results showed that 71.95% of the respondents preferred ceramic tiled floor finishes as the various motivational factors. Further research in housing interior finishes choice motivation is required. Keywords: means-end chain, laddering, stated housing preference and housing choice, housing interior finishes © 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-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.

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Abramsson, Marianne, and Eva Andersson. "Changing Preferences with Ageing – Housing Choices and Housing Plans of Older People." Housing, Theory and Society 33, no. 2 (November 5, 2015): 217–41. http://dx.doi.org/10.1080/14036096.2015.1104385.

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Dieleman, F. M., W. A. V. Clark, and M. C. Deurloo. "A Comparative View of Housing Choices in Controlled and Uncontrolled Housing Markets." Urban Studies 26, no. 5 (October 1989): 457–68. http://dx.doi.org/10.1080/00420988920080531.

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Filipovič Hrast, Maša, Richard Sendi, and Boštjan Kerbler. "Housing Choices of Older People: Staying or Moving in the Case of High Care Needs." Sustainability 12, no. 7 (April 4, 2020): 2888. http://dx.doi.org/10.3390/su12072888.

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Despite the development of various housing options across Europe, older people often face the choice of staying at home with the support of family and/or formal services or moving to a care home, but how people vary regarding these preferences and how newer cohorts will be different is under-researched. This study explores the housing choices of older people under the condition of liminality, which is defined as the hypothetical condition of high care needs. The most common choices available are compared; that is, staying at home (with social home-care support or visits to a daycare centre) or moving to supported housing or a care home. Cluster analysis revealed five distinct groups of older people that were differentiated in their choices between various options of moving versus staying at home, either by using home care or daycare. Differences between the clusters along three dimensions that influence decisions to move or stay, namely levels of attachment, satisfaction with housing and availability of support, which often function as limits on the options that are preferred, were explored. The results present the complexity of the decision-making process under imagined conditions of liminality and show a great diversity among people’s preferences. They also indicate that a significant share of older people have a strong preference for only one option (two of the cluster groups).

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B.A., Ojokoh, Olayemi O.C., Babalola A.E., and Eyo E.O. "A User-Centric Housing Recommender System." Information Management and Business Review 10, no. 3 (October 13, 2018): 17–24. http://dx.doi.org/10.22610/imbr.v10i3.2460.

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Recommender systems are very useful in assisting users to reduce the complexities involved in their decision making processes. It is particularly difficult for people to make decisions on housing choices because different options exist with different facilities, in different locations and with varied cost implications. This paper proposes a hybrid user-centric housing recommender system that is implemented to assist potential house buyers and tenants to generate house listings based on their preferences with the aid of fuzzy logic and item-based collaborative filtering. A virtual tour of the houses is also provided for better choice making.

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Stillerman, Joel. "Housing pathways, elective belonging, and family ties in middle class Chileans’ housing choices." Poetics 61 (April 2017): 67–78. http://dx.doi.org/10.1016/j.poetic.2017.01.005.

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Fan, Gang-Zhi, Ming Pu, Xiaoying Deng, and Seow Eng Ong. "Optimal portfolio choices and the determination of housing rents under housing market uncertainty." Journal of Housing Economics 41 (September 2018): 200–217. http://dx.doi.org/10.1016/j.jhe.2018.06.003.

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Francisco, Eva De. "Housing Choices and Their Implications for Consumption Heterogeneity." International Finance Discussion Paper 2019, no. 1249 (May 2019): 1–31. http://dx.doi.org/10.17016/ifdp.2019.1249.

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Lahey, Karen, Melinda Newman, and Doseong Kim. "Housing Choices and Mortgage Financing Options for Seniors." Journal of Real Estate Portfolio Management 12, no. 2 (January 1, 2006): 103–18. http://dx.doi.org/10.1080/10835547.2006.12089757.

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