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The purpose of this paper is to analyze the social and functional features of micro-apartment and, based on the findings, to demonstrate the projects of modern micro-apartment designed for one or two people, which are implemented in the experimental design.

Based on the analysis of the study of theoretical scientific works on the research topic and from the standpoint of an interdisciplinary discourse the social and economic prerequisites for the demand for such a dwelling are determined and the categories of citizens for whom a micro-apartment is an advantage are identified. Particular attention is paid to the typological boundaries of the study, the generalization and synthesis of sources which is reflected in identifying the features of the functional zoning of a micro-apartment in connection with the needs of residents and determining modern ways to improve the comfort of living.

At the examples of experimental design of micro-apartment for the city of Almaty we substantiated the expanding the existing typology of residential buildings by adding a new type of urban dwelling – a micro-apartment which occupies a niche between apartment housing for permanent residence and traditional hotels.

The content of the study is devoted to the analysis of a micro-apartment as a new type of modern urban dwelling for a single and small-family population. Urban residents’ interest in economical, affordable small-area dwellings as well as the need to study and design micro format dwellings for the modern urban environment is a topical issue.

This paper aims to explore the relationship between market pricing and design quality within the development industry. Currently, there is a lack of research that examines real estate at the property level. Development quality is widely believed to have diminished over the past decades, while many investors seem uninterested in the design process. The study aims to address these issues through a pricing model that integrates design attributes. It is hoped that empirical findings will invite broader stakeholder interest in the design process.

The research establishes a framework for assessing spatial compliance across residential developments within London. Compliance is assessed across ten boroughs, with technical space guidelines used as a proxy for design quality. Transaction prices and spatial assessments are aligned within a hedonic pricing model. Empirical findings are used to establish whether undermining spatial standards presents a significant development risk.

Findings suggest a relationship between sale time and unit size, with “compliant” units typically transacting earlier than “non-compliant” units. Almost half of the 1,600 apartments surveyed appear to undermine technical guidelines.

It is suggested that an array of design attributes be explored that extend beyond unit size. Additionally, future studies may consider the long-term implications of design quality via secondary transaction prices.

Practical implications include the development of a more scientific approach to design valuation. This may enhance the position of product design management within the development industry and architectural services.

Social implications may include improvement in residential design.

An innovative approach combines a thorough understanding of both design and economic principles.

The paper employs a unique online user-generated housing search dataset and introduces a novel measure for housing demand, namely “contacts per listing” as explained by hedonic, geographic and socioeconomic variables.

The authors explore housing demand by employing an extensive Internet search dataset from a German housing market platform. The authors apply state-of-the-art artificial intelligence, the eXtreme Gradient Boosting, to quantify factors that lead an apartment to be in demand.

The authors compare the results to alternative parametric models and find evidence of the superiority of the nonparametric model. The authors use eXplainable artificial intelligence (XAI) techniques to show economic meanings and inferences of the results. The results suggest that hedonic, socioeconomic and spatial aspects influence search intensity. The authors further find differences in temporal dynamics and geographical variations.

To the best of the authors’ knowledge, it is the first study of its kind. The statistical model of housing search draws on insights from decision theory, AI and qualitative studies on housing search. The econometric approach employed is new as it considers standard regression models and an eXtreme Gradient Boosting (XGB or XGBoost) approach followed by a model-agnostic interpretation of the underlying effects.

This paper aims to examine the influence of Covid-19, current war and other factors on the dynamics of real estate prices in Ukraine from 2019Q2 to 2022Q4. More specifically, the authors examine the extent of the influence of Covid-19 and war on the real estate market in Ukraine.

The authors monitor and accumulate information flows from the existing real estate market with their subsequent in-depth math-stat processing to examine dynamics and drivers of Ukrainian real estate prices evolution.

The study finds that the Ukrainian residential property market has experienced an average growing trend from June 2019 to December 2022, despite the strong influence of pandemic and war. The analysis shows that the impact of these factors varies across different regions and property types, with some areas and property types being more affected than others. The study also identifies the main drivers of the market evolution, including cost-sensitive factors such as floor level, overall area, housing conditions and geographical location.

This research is oriented to analyze evolution of residential property market in Ukraine in 2019–2022 years characterized by influence of such disturbing factors as pandemic and military actions.

Results gained are essential for any type of Ukrainian residential market analytics implementation including but not limited to investment analysis, valuation services, collateral, insurance and taxation purposes, etc. In broader sense, it can be also useful for comparison with same type market development in other geographical arears.

Initial data base collected and constantly monitored covers all different regions of the country that gives a broad view on the overall market development influenced by pandemic and war.

The lack of a reliable database of the purchase and sale of residential properties remains one of the biggest obstacles in obtaining reliable data on their market value. This considerably complicates the process of carrying out a valuation and reduces the accuracy and reliability of the results of such work. This is especially important for market which evolves in times of unrest being influenced by such strongly disturbing factors as pandemic and military actions. The originality of the study lies in the development of a complete probabilistic processing of the initial database, which provides a reliable and accurate assessment of the market evolution. The results achieved could be used by various stakeholders, such as property owners, investors, valuers, insurers, regulators and other interested customers, to make informed decisions and mitigate risks in the turbulent Ukrainian real estate market.

This paper aims to explore one question: to what extent does urban rehabilitation impact the housing search cost of the low-income tenants.

This paper adopts the fixed effects time-on-market (TOM) model and pricing model to study the research question.

Urban rehabilitation lifts the subdivided units (SDUs’) prices by around 7%. For the SDU located in old districts, urban rehabilitation gives rise to the rental price up by 11%–12%. The SDUs in the area without urban rehabilitation experience a short marketing period of 16%–17%. The SDU located in the old district that is without urban rehabilitation would have a short marketing time.

To the best of the authors’ knowledge, this is the pioneering research to investigate the relationship between rehabilitation and low-income rental housing from the improved search theory. The improved search theory posits that under the circumstance of urban rehabilitation, low-income tenants’ options are limited and the search behavior will be restricted in the affordable areas, and then TOM will be shortened. With the concentration of SDUs in Hong Kong, the test of the search theory is broken down into two hypotheses. (H1) Urban rehabilitation leads to low-income housing prices increase. (H2) Low-income housing located in areas without urban rehabilitation has a shorter TOM.

The application of circular building adaptability (CBA) in adaptive reuse becomes an effective action for resource efficiency, long-lasting usability of the built environment and the sped-up transition to a circular economy (CE). This paper aims to explore to which extent CBA-related strategies are applied in adaptive reuse projects, considering enablers and obstacles.

A stepwise theory-practice-oriented approach was followed. Multiple-case studies of five circular adaptive reuse projects in The Netherlands were investigated, using archival research and in-depth interviews. A cross-case analysis of the findings was deductively conducted, to find and replicate common patterns.

The study revealed that configuration flexibility, product dismantlability and material reversibility were applied across the case studies, whereas functional convertibility and building maintainability were less applied. Low cost of material reuse, collaboration among team members and organisational motivation were frequently observed enabling factors. Lack of information, technical complexities, lack of circularity expertise and infeasibility of innovative circular solutions were frequently observed obstacles to applying CBA.

This paper provides practitioners with a set of CBA strategies that have been applied in the real world, facilitating the application of CBA in future adaptive reuse projects. Moreover, this set of strategies provides policymakers with tools for developing supportive regulations or amending existing regulations for facilitating CE through adaptive reuse.

This study provides empirical evidence on the application of CBA in different real-life contexts. It provides scholars and practitioners with a starting point for further developing guiding or decision-making tools for CBA in adaptive reuse.

This paper aims to scrutinize the value of houses explained by their location in Central Asia’s largest city – Tashkent, the capital of Uzbekistan. The city was completely rebuilt after a devastating earthquake of 1961 and since the country was under the centrally planned regime, houses followed a common standard and style. This allows minimizing the error from omitting possible intrinsic characteristics in a hedonic model, while measuring the impact of location on housing values.

This study uses unique data on housing values and characteristics harvested from classified adverts. This study deliberately focused on data between 2013 and 2016, when Uzbekistan was characterized as hesitant in economic reforms. Therefore, residential buildings constructed during the Former Soviet Union dominated all parts of the city in the analysis period. The results are based on the hedonic pricing model.

The results suggest that locational characteristics are relatively more important than intrinsic characteristics. This study finds that proximity to the city center and access to subway stations significantly increase housing values. The opposite is true for the case of proximity to a wastewater treatment plant. Surprisingly, on the contrary to the authors’ expectations access to a park has no economically significant impact on housing values. The results, therefore, call for an integrated approach for city planning.

The first and most important contribution of this study to the field of housing economics is that it is the first study done for Uzbekistan, the most populated Central Asian country, and it is a case study for other Central Asian countries. The second contribution of the study is that, after a long and meticulous study, the determinants of housing prices were analyzed by taking into account all possible intrinsic and extrinsic properties of houses with the similar characteristics, over a unique data set created from approximately 18,000 observations from classified pages of a major newspaper published every Thursday in Tashkent City. The final contribution of the study is that it offers new perspectives and policy recommendations to the housing market actors in Uzbekistan.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

The emergence of Covid-19 and its epidemic features have affected many people around the world. Regardless of the physical and psychological problems caused by it, people must isolate themselves from their surroundings. This problem is more intense in urban areas where people live in crowded apartments and high-rise buildings. During the lockdown, residents of such buildings suffered from disconnection from nature, in addition to the lack of communication with others. As most multi-story apartments and residential complexes do not have separate green spaces and do not provide a safe connection to nature for occupants, it is very tough for the residents of these buildings to endure the disease, and occupants are more vulnerable to disease. Accordingly, this study proposes the biophilic design as an effective approach to provide a secure connection with nature in residential complexes and high-rise apartments.

The questionnaire method was used in this study to analyze the raised hypotheses. Two types of residential zones were selected for the survey and comparing the results. One is apartment units without dedicated green space, and the other is villa houses with private green space. Size of the sample population include 300 people (150 residents of an apartment block and 150 residents of villa homes).

Strict restrictions during the pandemic have prevented people from connecting with nature, especially in urban areas, owing to the lack of separated and dedicated green spaces, whereas connection with nature can be healing and lead to relieving anxiety and stress in this era based on the approved research. Accordingly, applying a biophilic approach to the design process would be helpful.

The lack of a biophilic project to observe was one of the limitations of this study. Being an available biophilic project in the surroundings could be very helpful to observe and acquire comprehensive knowledge and experiences from the handlers and users of biophilic buildings.

This study can be beneficial for patients, individuals and occupants of apartments and residential complexes in urban areas who suffer from distance from nature and green spaces during the restrictions of pandemics such as Covid-19.

This study proposes the use of biophilic architecture in the design process of residential complexes and high-rise apartments to provide isolated and dedicated green spaces for occupants, especially during the lockdown when people have been deprived of parks and public green spaces.

While interior public space can be one of the most important criteria in designing high-rise residential buildings in urban environments in practitioners’ opinion, this study aims at investigating the importance of this criterion from consumers’ lifestyle standpoint. In particular, this study aims to examine the effects of different lifestyle orientations on consumers’ preference for this housing feature. Three relevant lifestyles are investigated including independence, family-orientation and homebody.

Survey data were collected from 331 owners of high-rise apartments in three residential buildings in urban areas.

The research results revealed significant and positive effects of independence and homebody lifestyle orientations on consumers’ preference for interior public spaces. Interestingly, a family-oriented lifestyle was found to negatively moderate the effect of a homebody lifestyle on the preference, providing evidence for possible exclusive impacts of different lifestyle orientations on the preference.

This study emphasizes the exclusive impacts of different lifestyles on consumers’ preference for housing features that need to be considered by developers and marketers when designing consumer positions and marketing strategies.