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As an important indicator of the quality of life of individuals, residential environments are continuing to evolve, due to the rapidly changing production–consumption relations. However, in this evolving process, the effect of the differentiated residential environments on the individuals' residential satisfaction remains unclear. This paper aims to measure the effects of the varying residential environments on the overall quality of urban life (QoUL) in Kayseri, one of the most developed cities in Central Anatolia.

It is based on empirical data on the quality of life in the different residential environments of Kayseri. The research method used stratified purposeful sampling, and the household survey data were analyzed using factor analysis, multiple regression and ANOVA statistical methods.

The most influential factors on the overall QoUL of individuals living in different Kayseri residential neighborhoods were satisfaction with neighborhood and city-level urban services, neighborhood relations and belonging factor groups. The critical finding obtained in this study is that residential satisfaction in low-rise and compact form housing areas in Kayseri is higher compared to residential satisfaction in high-rise neighborhoods. This result reveals that the high-rise building typology that is dominant in Turkey's big cities should be seriously questioned, and urban development policies should be re-evaluated.

The study was designed to produce baseline data so that future changes in residential conditions as perceived by the residents of Kayseri could be monitored to support decisions for residential areas.

Comparative case studies, particularly on low-rise versus high-rise environments, are scarce. As a result, this research contributes to the field of comparative studies on residential environments.

The purpose of this study is to identify the situation of spatial inequality in the residential system of Tehran city in terms of housing prices in the year 2021 and to examine its changes over time (1991–2021).

In terms of purpose, this study is applied research and has used a descriptive-analytical method. The statistical population of this research is the residential units in Tehran city 2021. The average per square meter of a residential unit in the level of city neighborhoods was entered in the geographical information system (GIS) in 2021. Moran’s spatial autocorrelation method, map cluster analysis (hot and cold spots) and Kriging interpolation have been used for spatial analysis of points. Then, the change in spatial inequality in the residential system of Tehran city has been studied and measured based on the price per square meter of a residential unit for 30 years in the 22 districts of Tehran by using statistical clustering based on distance with standard deviation.

The result of spatial autocorrelation analysis with a score of 0.873872 and a p-value equal to 0.000000 indicates a cluster distribution of housing prices throughout the city. The results of hot spots show that the highest concentration of hot spots (the highest price) is in the northern part of the city, and the highest concentration of cold spots (the lowest price) is in the southern part of Tehran city. Calculating the area and estimating the quantitative values of data-free points by the use of the Kriging interpolation method indicates that 9.95% of Tehran’s area has a price of less than US$800, 17.68% of it has a price of US$800 to US$1,200, 25.40% has the price of US$1,200 to US$1,600, 17.61% has the price of US$1,600 to US$2,000, 9.54% has the price of US$2,000 to US$2,200, 6.69% has the price of US$2,200 to US$2,600, 5.38% has the price of US$2,600 to US$2,800, 4.59% has the price of US$2,800 to US$3,200 and finally, the 3.16% has a price more than US$3,200. The highest price concentration (above US$3,200) is in five neighborhoods (Zafaranieh, Mahmoudieh, Tajrish, Bagh-Ferdows and Hesar Bou-Ali). The findings from the study of changes in housing prices in the period (1991–2021) indicate that the southern part of Tehran has grown slightly compared to the average range, and the western part of Tehran, which includes the 21st and 22nd regions with much more growth than the average price.

There is massive inequality in housing prices in different areas and neighborhoods of Tehran city in 2021. In the period under study, spatial inequality in the residential system of Tehran intensified. The considerable increase in housing prices in the housing market of Tehran has made this sector a commodity, intensifying the inequality between owners and non-owners. This increase in housing price inequality has caused an increase in the informal living for the population of the southern part. This population is experiencing a living situation that contrasts with the urban plans and policies.

The purpose of this study is to analyse numerous aspects affecting residential property price in Malaysia against macroeconomics issues such as gross domestic product (GDP), exchange rate, unemployment and wage.

The hedonic pricing model has been adopted as econometric model for this research to investigate the relationship between residential property price against macroeconomics indicator. The data for residential property price and macroeconomic variables were collected from 1991 to 2019. Multiple linear regression had been adopted to find the relationship between the dependent and independent variables.

The result shows that the GDP has a significant positive impact on residential property price, while exchange rate has no significant impact although it was positive. In addition, the unemployment rate has a significant impact on the residential property price and has a negative relationship. Similar to the wage that shows the negative relationship with residential property prices. Moreover, during the pandemic COVID-19 in Malaysia, this research shows a more transparent view of the relationship between residential property price and the macroeconomic issues of GDP, exchange rate, unemployment and wage.

The findings of this research found that macroeconomics issue cannot be eliminated due to Malaysia is a developing country, and there will always be an issue that will happen, but the issues can be reduced to maximise the advantages, e.g. during COVID-19, the solution to fight against COVID-19 were crucial and weaken the macroeconomics issues.

This paper aims to empirically investigate the effect of facility–maintenance service quality on tenants’ satisfaction and their subsequent willingness to pay higher rent in the National Capital Region (NCR), India.

The data for this study was collected from 1,692 tenants in NCR, India. SmartPLS4.0 was used to analyze the data using structured equation modeling.

The study findings indicate that all parameters of facility–maintenance service quality (tangibles, service personnel quality and empathy) positively impact tenants’ satisfaction. Further, satisfied tenants are willing to pay higher rentals. In addition, customer satisfaction partially mediates the relationship between facility–maintenance service quality and willingness to pay higher rent.

The study extends evidence-based research in the service industry to provide empirical evidence that facility–maintenance service quality positively impacts customer satisfaction in real estate settings in emerging markets (India). This research will guide future researchers to explore other dimensions to support evidence-based research in real estate settings.

Based on the data collected online after personal interaction in residents’ meetings, the study findings provide significant insights for stakeholders such as policymakers, practitioners, landlords, associations and builders. With rising housing demand because of rural migrations toward urban or metro locations coupled with the government’s inability to expand the infrastructure simultaneously, the government has enhanced the role of public–private partnership (PPP) in housing development. The findings will help policymakers incorporate the service angle into key performance indicators in PPP contracts. Additionally, with rising competition in the housing sector, understanding these factors will help landlords and resident associations improve service quality standards, thus enhancing the residential societies’ word-of-mouth publicity and attracting high-paying residents.

To the best of author’s knowledge, this is a pioneer study to empirically investigate the impact of facility–maintenance service quality standards on tenants’ satisfaction and willingness to pay higher rent in a residential setting in India.

This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are studied.

A mixed methodology approach was used, merging quantitative and qualitative methods. The questionnaire was developed and filled out through structured interviews. Descriptive statistics and multiple linear regression were used to understand the residents’ satisfaction levels. In addition, the chi-square test of independence was used to determine whether demographics and dwelling type were related to residents’ satisfaction.

It was found that the residents’ satisfaction level with Zabdah housing was moderate on both dwelling and neighborhood levels. On the dwelling level, the tiny dwelling areas were a fundamental problem. On the neighborhood level, good neighborhood services were crucial to the success of this project, while the lack of green spaces negatively affected the quality of life of its residents. In addition, the number of family members and dwelling types were critical determinants of residents’ satisfaction.

The findings can be developed into guidelines to govern the creation of better affordable residential environments. Furthermore, the successful dwelling typologies in this project can be modified to be adopted in the future.

To the best of the authors’ knowledge, this is the first study of its kind to explore the relationship of demographics and dwelling type with residents’ satisfaction in affordable housing in Jordan.

The purpose of this study is to conduct a thorough empirical investigation of the intricate relationship between urban housing sales prices and land supply prices in China, with the aim of elucidating the underlying economic principles governing this dynamic interplay.

Using monthly data of China, the authors use the asymmetry nonlinear autoregressive distributed lag (NARDL) model to test for nonlinearity in the relationship between land supply price and urban housing prices.

The empirical results confirm the existence of an asymmetric relationship between land supply price and urban housing prices. The authors find that land supply price has a positive and statistically significant impact on urban housing prices when land supply is increasing. Policymakers should strive to strike a balance between safeguarding residents’ housing rights and maintaining market stability.

Although the asymmetric effect of land supply price has been identified as a significant contributor in this study, it is important to note that the research primarily relies on time series data and focuses on analysis at the national level. Although time series data offer a macroscopic perspective of overall trends within a country, they fail to adequately showcase the structural variations among different cities.

To ensure a stable housing market and meet residents’ housing needs, policymakers must reexamine current land policies. Solely relying on restricting land supply to control housing prices may yield counterproductive results. Instead, increasing land supply could be a more viable option. By rationally adjusting land supply prices, the government can not only mitigate excessive growth in housing prices but also foster the healthy development of the housing market.

First, the authors have comprehensively evaluated the impact of land supply prices in China on urban housing sales prices, examining whether they play a facilitating or mitigating role in the fluctuation of these prices. Second, departing from traditional linear analytical frameworks, the authors have explored the possibility of a nonlinear relationship existing between land supply prices and urban housing sales prices in China. Finally, using an advanced NARDL model, the authors have delved deeper into the asymmetric effects of land supply prices on urban housing sales prices in China.

This study traced the architectural, urban and social characteristics of the Bugok Railway Official Residences (BRORs) in South Korea. It also explored the modern elements of Western (or Japanized Western) or traditional Korean characteristics embodied in the BRORs in the modernization process of Korea in the early 20th century.

Through literature reviews, field trips and archive investigation, this study uncovered new critical facts concerning the origin of the BRORs’ construction plan and architectural characteristics.

The BRORs’ value can be described as follows. First, the BRORs are the first modern housing complex in the Uiwang region. Second, they are meaningful as a housing area built during the Japanese colonial period, and many houses were concentrated in the center of a large city. Third, each official residence shows that various phenomena (mass production, standardization, efficiency and so on) are concentrated in buildings from premodern to modern period. Finally, the image of a group residential complex about to be demolished due to redevelopment is recorded in detail.

In the 1940s, the Railway Bureau of the Japanese Government-General of Korea planned a new small-scale town where mainly railway workers would live. The BRORs in Sam-dong, Uiwang were the first-phase plan. Specifically, 200 households in 100 buildings (two households per building) were built in 1943 during the end of the Japanese colonial period. After the liberation in 1945, these residences were made available to the general public and only 27 households remained through modification and renovation. The remaining residences will be demolished in 2023.

This research examined the meaning of the BRORs, which had not previously been researched in-depth, from diverse perspectives; accordingly, the basic research required for sustainable archiving can be performed after demolition using the study data.

This paper aims to examine the dynamics of house prices in metropolitan cities in an emerging economy. The purpose of this study is to characterise the house price dynamics and the spatial heterogeneity in the dynamics.

The author explores spatial heterogeneity in house price dynamics, using data for 35 Indian cities with a million-plus population. The research methodology uses panel econometrics allowing for spatial heterogeneity, cross-sectional dependence and non-stationary data. The author tests for spatial differences and analyses the income elasticity of prices, the role of construction costs and lending to the real estate industry by commercial banks.

Long-term fundamentals drive the Indian housing markets, where wealth parameters are stronger than supply-side parameters such as construction costs or availability of financing for housing projects. The long-term elasticity of house prices to aggregate household deposits (wealth proxy) varies considerably across cities. However, the elasticity estimated at 0.39 is low. The highest coefficient is for Ludhiana (1.14), followed by Bhubaneswar (0.78). The short-term dynamics are robust and show spatial heterogeneity. Short-term momentum (lagged housing price changes) has a parameter value of 0.307. The momentum factor is the crucial dynamic in the short term. The second driver, the reversion rate to long-term equilibrium (estimated at −0.18), is higher than rates reported from developed markets.

This research applies to markets that require some home equity contributions from buyers of housing services.

Stakeholders can characterise stable housing markets based on long-term fundamental value and short-run house price dynamics. Because stable housing markets benefit all stakeholders, weak or non-existent mean reversion dynamics may prompt the intervention of policymakers. The role of urban planners, and local and regional governance, is essential to remove the bottlenecks from the demand side or supply side factors that can lead to runaway prices.

Existing literature is concerned about the risk of a housing bubble due to relaxed credit norms. To prevent housing market bubbles, some regulators require higher contributions from home buyers in the form of equity. The dynamics of house prices in markets with higher owner equity requirements vary from high-leverage markets. The influence of wealth effects is examined using novel data sets. This research, documents in an emerging market context, the observations cited in low-leverage developed markets such as Germany and Japan.

The inadequacy of regulations, the uncertainty of the quality of houses produced and the needs of users all highlight the need for a house analysis in Turkey. The goal of this study is to understand housing quality in Turkey based on the gap between expectations and existing housing stock, to identify the main housing expectations and the problematic issues in the current housing situation.

The authors designed a survey using the quality indicators of several well-known housing quality assessment tools to reveal residents' housing preferences and current housing situation in Turkey. The authors analyzed the survey results to identify the gap between housing preferences and existing conditions to reveal the housing quality of Turkish housing.

Overall results show that residents in Turkey, regardless of their demographics, want and need better houses. It was determined that physical conditions, safety, aesthetics and accessibility are the issues for which the expectations of the participants are high and the lack of which is most felt.

This paper reveals the residents' perspective on housing and their housing quality. It emphasizes the need for more research on housing quality, the need for updated regulation and necessity of a housing quality assessment tool in Turkey.