Housing Values Research Articles

Development of a Housing Choice Behavior Program for Middle-School Home Economics to Cultivate Housing Value Orientation

The purpose of this study was to develop a housing choice behavior program to cultivate housing value orientation among middle-school students. The importance of cultivating housing value orientation in middle school was examined by investigating the relationship between housing value orientation and housing choice behavior, following which a program was developed to cultivate housing value orientation based on various housing values. Housing choice behavior was defined as selecting the ownership type, housing type, housing size, and neighborhood environment of housing, and the program was developed in 12 sessions to understand housing values and cultivate housing value orientation through learning housing choice behavior. The features of this program were as follows. First, although housing choice behavior is not covered in middle-school home economics, the 2015 revised national curriculum and current middle-school textbooks were analyzed and developed in consideration of the level available in schools. Second, it was possible to develop a housing value orientation that encompasses various housing values, including activities used to consider such values as the basis for housing choice behavior by each sessions. Third, the program was meaningful in that it developed practical problem-solving and living independence skills through learning activities, including available sites, experience cases, and housing welfare that cannot be experienced directly or indirectly.

Heritage and Rehabilitation Strategies for Confucian Courtyard Architecture: A Case Study in Liaocheng, China

During the past decades, many traditional vernacular buildings have been forced to be demolished or abandoned due to the accelerating trend of urbanisation in China, which has resulted in regional culture, historical memory, and architectural narratives being gradually lost. The contemporary development of courtyard-style architecture under the influence of Confucianism, an important architectural form that carries Chinese culture, remains unclear. To preserve these vernacular buildings and local culture, this paper traces the historical value of courtyard houses. Through a case study, the effectiveness of local courtyard-style building rehabilitation in Shandong is assessed, and key components, building materials, and construction techniques corresponding to Confucian cultural connotations are examined, leading to a more comprehensive dialectical analysis of building rehabilitation. The results indicated that rehabilitation can be effective in preserving vernacular components and cultural narratives in the context of sustainable development strategies for traditional buildings. Moreover, by identifying and evaluating the sense of place and rehabilitation strategies of the architectural heritage, new perspectives are offered to the world of vernacular architectural practice, and existing knowledge of the architectural courtyard is expanded.

Modern heritage and housing renovation: Policy development and practical experiences from Gothenburg, Sweden

Post-war housing stocks have been in focus for modernisation and transformation since the 1980s. Technical deficiencies and social problems related to exclusion and segregation have been arguments for investments. The architecture has been seen as part of the problem and alterations to its character have been important in finding solutions. Lately, policy for energy efficient renovation and decarbonisation of the housing sector has put the modern housing stock in focus again. With reference to the lack of common appreciation and understanding of the historical and cultural value of the post-war housing, this paper discusses current policy and its implementation. The paper begins by looking at Gothenburg, the second largest city in Sweden. The development of a Modern Historical Environment program is presented with its application in three examples of housing. These cases exemplify the opportunities and consequences of modernisation and energy renovation on modern heritage. The designation of modern built heritage differs from the designation of older constructions due to its scale and volume. Designating an object refers, on the one hand, to recognising an example of a specific building type and construction methods and, on the other, to its socio-historical context. Thus, both tangible and intangible values are acknowledged. Modern heritage is characterised by its resilience to alterations and allows layers of change to be included, informing about historical events.

Measuring local, salient economic inequality in the UK

Neighbourhood-level economic inequality is thought to have important implications for social, political, and economic attitudes and behaviours. However, due to a lack of available data, to date it has been impossible to investigate how inequality varies across neighbourhoods in the UK. In this paper, I develop a novel measure of within-neighbourhood inequality in the UK by exploiting data on housing values for over 26.6 million addresses – nearly the universe of residential properties in the UK. Across two surveys, I demonstrate that housing value inequality is perceptually-salient – what people see around them in terms of housing discrepancies is associated with their beliefs about inequality. This new measure of local, salient inequality represents a powerful tool with which to investigate both the anatomy of local inequality in the UK, as well as its attitudinal and behavioural consequences.

The impact of various geological factors on the real estate valuation using AHP analysis: case studies from Turkey.

Turkey's diverse geology causes natural disasters that kill and damage towns every year. Population growth in unstable areas without geological variables in value studies endangers people and real estate. This study examines how geological factors affect house values, which are often overlooked in applications. The analytical hierarchy process (AHP) was used to analyze conventional parameters, geological factors, and priorities for three provinces in Turkey with unique geological properties in surface water, groundwater, active faults, and karstic collapse. The AHP analysis was performed in the Ankara-Cankaya district (Ilkbahar quarter), Bolu-Gerede district, and Konya-Karapinar district, test locations with unique geological properties in terms of surface water, groundwater, active faults, and karstic collapse in various regions of Turkey. Statistical software analyzed the test location survey data. The results show that surface water, groundwater, active faults, and karstic collapse all affect real estate value. The findings suggest that house valuation requires multidisciplinary building site investigations with appropriate methods. This reduces the risk of making unreliable decisions and eliminates uncertainties, resulting in reliable results. The geological factors that determine a house's value are crucial to reducing disaster-related deaths and property damage.

Crime risk and housing values: Evidence from the gun offender registry

This paper estimates the effects of crime risk on housing values. To estimate the causal effects, we rely on the introduction of the gun offender registry in Baltimore City, Maryland, that discloses the residences of ex-gun offenders to the public. Specifically, we exploit the changes in perceived crime risk after ex-gun offenders move into the neighborhoods. Our most conservative estimates indicate that houses within 0.1 miles from ex-gun offenders’ residences experience an 8.0% decline in value ($12,632) after these ex-gun offenders move in. Additional results suggest that homeowners are responding out of fear of victimization as we do not observe significant increases in crimes following the relocation of ex-gun offenders into the neighborhoods.

Nilai Sosial Rumah Lontiok di Desa Pulau Belimbing Kabupaten Kampar

Indonesia is a country that is rich in language, culture, customs and is also rich in traditional houses or traditional houses. A traditional or traditional house is a building with a structure or shape that has its own characteristics as a characteristic or identity of an area and in general, traditional houses are built using local materials. One of the traditional houses in Riau that still exists and is well maintained is the Lontiok House. The Lontiok house has ornaments and architecture like a stilt house which has stairs, steps and a gate in front which signifies respect for every guest who comes to the Lontiok house and also respects the host himself. The philosophy and value of the gate or pavilion of the lontiok house is to respect one another. This study discusses the social values ​​of Lontiok Houses with the aim of describing the social values ​​contained in Lontiok Houses. The benefits obtained from this research can make a foothold to the general public that the Lontiok house is one of Riau's cultural heritage. The research method used in this research is a qualitative research method with a descriptive approach. Collection of library research data and field research. Library research relies almost entirely on data from libraries. The results obtained in this study are that there are seven social values ​​contained in the Lontiok house, namely: 1) Social kinship values ​​(deliberation), 2) Religious values, 3) Economic values, 4) values ​​of togetherness or affection, 5) Values ​​of please helping, 6) the value of tolerance and 7) the value of caring.

Would people prefer city-center living in the post-COVID era?: Experience, status, and attitudes to social disasters

The COVID-19 pandemic was a significant social disaster that radically affected the paradigm of current urbanization and city-center living. Responses to the disaster varied depending on related experiences, individual status, and attitudes. Thus, this research extends the previous literature by examining the effects of experiences related to the COVID-19 pandemic, socioeconomic status, and how perceptions and attitudes affect preferences for city-center living in the Seoul Metropolitan Area, South Korea. We use data from PSSRAC (Perception Survey of Seoul metropolitan area Residential Awareness during COVID-19) of 2021. A binary logistic regression method is used to examine significant characteristics that affected the residential preference change due to “Experience,” “Status,” and “Attitude” in the COVID-19 era. The findings showed that respondents’ experience, status, and attitude related to the pandemic could have a complex effect on predictions of preference, for central or suburban living tendencies in the post-COVID-19 era. In terms of “Experience,” people who had bad experiences during the pandemic, for example, poor economic conditions were associated with suburban area living trends. For “Status,” socially and economically vulnerable groups preferred suburban residence due to the steep rise in housing prices in the city center after the pandemic. Finally, for “Attitude,” ‘value of housing for investment” was positively associated with a preference for city-center living in the post-COVID-19 era; respondents with a higher priority for maintaining remote work tended not to change their current residence. This study may provide planners, housing developers, and policymakers with meaningful implications for addressing urban changes in the post-COVID-19 era. Additionally, it is expected that this research’s ESA analysis and results can be used as a valid reference for other global cities.

Machine Learning Based House Price Prediction Using Modified Extreme Boosting

In recent years, machine learning has become increasingly important in everyday voice commands and predictions. Instead, it provides a safer auto system and better customer assistance. As a result of all that has been demonstrated, ML is a technology that is becoming more and more popular in a range of industries. To gauge changes in house values, the House Price Index is frequently employed (HPI). Due to the substantial correlation that exists between property prices and other variables, such as location, region, and population, the HPI on its own is not sufficient to accurately forecast a person's house price. Some studies have successfully predicted house prices using conventional machine learning techniques, but they seldom evaluate the efficacy of different models and ignore the more complicated but less well-known models. We proposed Modified Extreme Gradient Boosting as our model in this study due to its adaptive and probabilistic model selection process. Feature engineering, hyperparameter training and optimization, model interpretation, and model selection and evaluation are all steps in the process. Home price indices, which are frequently used to support real estate policy initiatives and estimate housing costs. In this project, models for forecasting changes in home prices are developed using machine learning methods.

The Pursuit of Health: A Spatiotemporal Equilibrium Model of Regional Health and Housing Values

The Pursuit of Health: A Spatiotemporal Equilibrium Model of Regional Health and Housing Values

Research on Housing Inequality in China—Empirical Analysis Based on CFPS 2018

Based on household data in CFPS 2018, this article uses empirical analysis methods such as descriptive statistical analysis, OLS and Logit regression, and Sharpley value decomposition to study the issue of household housing inequality in China. The research results show that the issue of household housing inequality in China is reflected in three housing level indicators: housing value, housing area, and whether there is real estate ownership. The housing level is affected by regional factors and family factors, and the contribution rate of each factor is different for different housing level indicators.

Interior Design: The Doll's House and the Working-Class Child

This article explores the unexpected relationship that working-class children had with doll's houses in the late nineteenth century. Placing texts by children's author Frances Hodgson Burnett alongside historical material concerning the manufacture of doll's house furniture by students in London's Ragged Schools under the supervision of housing reformer Octavia Hill, I argue that both women understood the educational or formative value of the doll's house as deriving from the object's ability to teach lessons in temporality. I examine this object and its deployment in contemporary object lessons to show that the spatial divisions of these miniature homes operate in relation to both short- and long-term cycles of time. This article also demonstrates that apparently universal models of selfhood and development were in fact contingent on class structures (both authors, for instance, connect developmental abnormalities in poor children to the fact that they grow up in one-room homes).

Design Criteria of Vertical Housing for Social Communities

Population growth, increased housing requirements, and a lack of available land in urban areas motivate developers to construct vertical housing. Vertical occupancy reduces social interaction between occupants, leading to the development of individualistic characteristics. This is due to the fact that the design does not encourage inhabitants to interact with one another. This research seeks to identify the design criteria necessary to construct a social structure in a vertical residence. This study's methodology consisted of three stages: data collection, analysis, and synthesis. Where quantitative and qualitative data are collected using a combined research methodology. Retrieve quantitative data through questionnaires to ascertain the social interaction habits of vertical occupancy users. While qualitative methods, such as literature and precedent studies, such as Home Farm Singapore and The Rosebay Surabaya, are used to identify existing issues. The analysis phase consists of descriptive statistics to interpret the questionnaire results, as well as a description of the analysis based on the research variables used, such as accessibility, users, individuality, adaptability, and others. The results of the synthesis phase will be design criteria that can enhance the social value of vertical housing.

Household Solar Analysis for Policymakers: Evidence from U.S. Data

There is a vast literature on household solar-panel uptake but there are mixed results for many explanatory variables such as income, education, age, and race. This creates a major challenge for policymakers, who devise solar-panel policies that relate to variables such as income. This study uses logit, probit, and linear probability models, along with the matching method of entropy balancing. We use household data from the 2019 American Housing Survey. Results using entropy balancing suggest that high housing values and older respondent age are key factors promoting solar-panel uptake. Income has some positive impacts, although detailed analysis tends to show insignificance. Education and race variables have insignificant coefficients when controlling for key variables. This paper could provide a basis for future policy approaches, such as means testing based on asset thresholds rather than income thresholds.

공동주택의 주거환경 요인과 지각 가치가 주거 만족도에 미치는 영향분석

Since the 1970s, rapid economic growth and urban concentration of the population have caused serious housing shortages in urban areas, and the government has implemented a policy to build and distribute high-rise apartment houses in large quantities. However, as the living standard of the people improves along with economic development, residents' interest in improving the quality of the residential environment is increasing, and it is necessary to find a strategy to improve the quality of apartment houses and to improve the quality of life. Therefore, this study investigated the residential environment factors of apartments that affect residents' housing satisfaction and the perceived value of residents, and identified the mediating role of perceived value in the relationship between the residential environment factors of apartments as follows. First, among the residential environment factors, safety, health, and economy were found to have a positive effect on the residential satisfaction of apartment houses, and among the residential environment factors, safety, convenience, health, economy, aesthetics, and sociality had a significant positive effect on the perceived value of apartment houses. In addition, the perceived value of apartment houses was found to have a significant positive effect on housing satisfaction, and the perceived value of apartment houses played a significant mediating role in the gap between the residential environment factors of apartment houses and housing satisfaction.

Rail trails and housing values: A longitudinal study

Greenways are recognized as an essential tool to build sustainable communities. An example in the United States are the rail trails where decommissioned rail corridors are being improved to provide the benefits of non-motorized transportation systems for recreation and exercise, and the daily commute to school, work and shopping. Yet despite these benefits some still argue the presence of the rail trail as a NIMBY (Not In My Back Yard). To address this argument, we calculate the economic benefit to homeowners living in proximity to rail trails over a ten year period to observe the dramatic changes in value over time. It was hypothesized that there would be a change in housing values based on proximity to greenways. This article will begin with an overview and a literature review on research related to greenways and home values, describe the context of this particular case study in the Pioneer Valley of Western Massachusetts, United States, provide an overview of the methods employed for the calculations and analysis, and conclude with some reflections and the potential limitations that should be considered for undertaking future research on this topic.

Investigating spatial heterogeneity of park inequity using three access measures: A case study in Hartford, Connecticut

Park inequity has been widely examined in U.S. cities, yet the results were inconclusive. This gap is possibly because of the consideration of one single aspect of access at a time and the lack of examination of spatial dependency and heterogeneity when modeling the relationship between park access and the socioeconomic status of populations. This study aims to contribute to these gaps in the studies of park equity by investigating park inequity using three access measures—park proximity, park congestion, and park crime—in Hartford, Connecticut. As a result, park proximity, park congestion, and park crime presented distinct spatial patterns and low correlations with each other. In addition, the results of geographically weighted regressions uncovered spatial heterogeneity in the relationships between the three park access measures and socioeconomic variables and confirmed that the relationships are location-specific with varying magnitudes and signs of the coefficients. In particular, median house value was associated with less park crowdedness particularly in White and Hispanic neighborhoods. Furthermore, southern neighborhoods showed more park crime disparities in relation to race, education, and income levels. The multidimensional and spatially heterogeneous patterns of park inequity inform urban planning on how to strategically allocate resources in pursuit of environmental justice.

Makine Öğrenmesi Yöntemleri ile Konut Talep Tahmini

Housing is a place where sustainable urban spaces are produced and where people's physical, cultural, environmental, economic, social and psychological needs are evaluated together with their surroundings, rather than just a building where the need for shelter is met. With the acceleration of urbanization, new needs arise, and the first of these is the need for housing. The housing sector has become one of the most dynamic and continuous sectors associated with the increase in the need for housing. The need for adequate and accessible housing comes to the forefront in our country as well as in the world. Understanding and predicting the key features determining housing prices and value is an important consideration for urban planners and housing policymakers. In this study, machine learning and artificial neural network models were used to predict the housing demand of Konya, and their forecasting performances were compared. As a result, it was concluded that ANN is a better alternative for housing demand forecasting in Konya.

2018-2021 Arası Yerleşikler Gözüyle Erzincan Kızılay ve Hocabey Mahalleleri Kentsel Dönüşüm Süreci

Bu makale Erzincan’da Kızılay ve Hocabey Mahallesi kentsel dönüşüm projesi sürecinde yerleşiklerin beklentilerini ve kaygılarını ortaya çıkarmaktadır. Etnografi yöntemlerle 2018-2019 ve 2020-2021 dönemlerini kapsayacak şekilde iki ayrı mülakat yapılmıştır. Alışık hayattan ayrılmanın verdiği zorluklar ve belediyenin kısıtlamalara karşı oluşturduğu çözümler tespit edilmiştir. İlk mülakat serisinde mahalledekilerin yaşamış oldukları en belirgin iki duygu daha iyi yaşama doğru ümit ve evsiz kalma veya evin değerini alamama kaygısıdır. İkinci dönemde belediyenin atmış olduğu doğru adımlar, şeffaf şekilde bütün hane halklarıyla tek tek ilgilenmeleri bu belirsizlikleri aşılmış ve genelde tarafların memnuniyetiyle sonuçlanmıştır. Süreçte en büyük zorluk aynı parselden birden çok hak sahibinin olmasıdır. Her parsele bir daire verilmiş ve pay sahiplerine kendi aralarında antlaşması istenmiştir. Antlaşamama durumlarında herkesin pay miktarına göre nakit ödeme yapılmıştır.

Harm reduction or amplification? The adverse impact of a supervised injection room on housing prices

A medically supervised injecting room (MSIR) —a facility for the safe injection of illicit drugs—is an example of a harm reduction approach against opioid epidemics. An economic theory of moral hazard suggests that such a facility can intensify drug use by reducing the risk of lethal overdose, mediating an increase in crime, death, and nuisance behavior, thus, depressing local urban development. Beyond that, negative media coverage can generate similar adverse outcomes even without any factual drug intensification. Accordingly, using non-parametric methods and spatial double and triple difference design on the data from Victoria, Australia, we show that the MSIR's opening causes around 5%–7% reduction in housing value. We conclude that the harm reduction approach can have nontrivial indirect costs outside health domains.