Residential Housing Research Articles

Embodied Carbon in Australian Residential Houses: A Preliminary Study

Embodied carbon is a buzzword in the construction industry. Australia is committed to achieving Net Zero 2050 targets, and minimizing embodied carbon (EC) is inevitable. Owing to the population growth, there will be a significant demand for residential construction. Therefore, the material consumption in residential construction should be evaluated and proper strategies should be in place to minimize EC. The aim of this research is to undertake a preliminary study of EC in the Australian residential sector, with an emphasis on new residential home construction. This research presents a preliminary study on EC in residential buildings in Australia. Three case study residential buildings were used in this study. All three case studies are single -story residential units, with a gross floor area between 200 and 240 m2. One Click LCA software was used to calculate the EC. The EC of three case study residential homes is between 193 and 233 kgCO2e/m2. Based on the findings of this study, ‘other structures and materials’ contribute to a large amount of EC in residential construction. Concrete and aluminum are considered significant contributors to EC. Therefore, it is vital to either introduce low-EC material to replace aluminum windows or introduce various design options to minimize the use of aluminum in windows. There are various sustainable concretes available with low EC. It is essential to explore these low-EC concretes in residential homes as well. This research identifies the importance of adopting strategies to reduce the carbon impact from other sources, including concrete. It is also essential to consider the EC through transportation related to construction and promote locally sourced building materials in residential construction. Therefore, the results of this research indicate the necessity of reducing raw material consumption in Australian residential construction by implementing approaches such as a circular economy in order to circulate building materials throughout the construction supply chain and reduce raw material extraction.

Energy Demand Reduction for Nigeria Housing Stock Through Innovative Materials, Methods and Technologies

Energy utilisation has recently become a highly sought-after commodity on a global scale. This situation is not limited to Nigeria, where the national grid’s supply of electricity has been severely inadequate. This has hampered the country’s ability to meet the mounting needs of its large population and expanding economy. Aside from the global challenges of rising energy costs and environmental disasters, a number of factors such as a lack of interest in indigenous building technologies and materials have contributed to the Nigerian construction industry’s slow pace of meeting energy demand and achieving energy efficiency. This study investigates the possibility of achieving energy conservation through innovative materials, methods, and technology to increase energy efficiency and minimise energy demand in Nigeria’s residential housing. The objective is to determine the variables that influence energy usage in residential house design, select methods and technologies to reduce energy demand, and assess the best materials and processes. A quantitative approach to data collection was used by distributing questionnaires to respondents in the Minna metropolis. A hundred and forty (140) question- naires were distributed, and 117 of them were returned. Secondary data were obtained from literature reviews, journal articles, and conference papers. According to the findings, the most energy efficient residential buildings would result from the appropriate use of innovative ma- terials, methods, and technology to reduce the energy demand of the building. In order to decrease energy demand, the study suggests that built environment professionals should focus largely on changing energy-consuming devices and their end uses for energy efficiency. It concluded that, in order to reduce overlap between the applications of these elements and bet- ter meet the needs of building occupants in terms of energy usage in Nigeria, energy demand should be considered from the design stage.

Utilizing Rainwater Harvesting System for Water Scarcity at a Double-Story Residential House

Utilizing Rainwater Harvesting System for Water Scarcity at a Double-Story Residential House

Kekeliruan Hakim dalam Memutus Perkara Penipuan pada Pangadilan Negeri Sidoarjo

This study aims to determine whether there are elements of fraud in the case contained in Decision Number 115/Pid.B/2021/PN.SDA. This research is based on the reality related to business in the housing industry which is currently growing rapidly but so many default cases are carried out by the developers themselves. As in the case that I am currently investigating, namely Decision Number 115/Pid.B/2021/PN.SDA. The method used in this study is a normative legal research method using a statutory approach by using primary legal materials consisting of statutory regulations and secondary legal materials obtained from several books, journals, and articles. The results of the study conclude that, there is a decision by the Panel of Judges in deciding the case on Decision Number 115/Pid.B/2021/PN.SDA because the elements that cannot be submitted to. Based on the comparison between the actions taken with the elements of error in the default, it was stated that as the director of PT. A has committed an act of default for not carrying out the performance according to what has been agreed with the Buyer as a victim in the sale and purchase of a residential house.

Efforts of Community Adaptation to Deal with Rob Floods on The Meulaboh Coastline

Most of Indonesia's territory is geographically located in the coastal area. One of the areas located in the coastal area is the city of Meulaboh, West Aceh Regency. The coastal area of Meulaboh often experiences tidal flooding, especially the coastal area of Gampong Pasir and has a quite severe impact compared to other areas on the coast of Meulaboh. Based on this background, this study aims to identify community adaptation to the tidal flood event based on community responses in the coastal area and identify efforts to mitigate the impact of tidal floods that have been carried out by the community and the government. The analytical methods used are descriptive quantitative and qualitative analysis methods, as well as cross-tabulation analysis related to community adaptation variables, which include community characteristics, the impact of tidal floods on the residential environment, identification of tidal flood conditions and efforts to mitigate the impact of tidal floods, carried out by the community and the government. The results showed that the people of the coastal area of Meulaboh were able to make efforts to deal with tidal floods in the form of repairing road networks, residential houses, drainage channels, places of worship (mosques), village offices, and clean water and sanitation systems. The government's efforts to deal with tidal floods are carried out by making barriers to protect the coast through tetrapod. These results are important to take future action to deal with tidal floods.

Day Ahead Solar Generation Forecasting in Smart Grids to Minimize Electricity Bill

Abstract: In order to meet the increasing growth of energy demand, integration of renewable resources into residential applications appears to be a viable solution. In the proposed model,a residential house is considered where the consumer is able to generate his own energy from a microgrid consisting of solar panels and wind turbines. In this study, an optimization method is employed to minimize the overall electricity bill of a residential home over a periodof 24 hours. In smart grids, energy management is imperative in reducing the electricity cost of consumers under a real time pricing approach. Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. In this paper, we propose a long short-term memory (LSTM) recurrent neural network-based framework, which is one of the most popular techniques of deep learning. This technique predicts day ahead solar irradiation and wind speed data. We also consider an energy storage system (ESS) for efficient energy utilization. Optimization is done and from the obtained results a substantial reduction in electricity bill is observed

Housing System, Challenges, and Perspectives The Case of Georgia

Expired or Dilapidated multi-apartment buildings are one of the main problems in post-Soviet countries. Although different countries have periodically developed different ways to solve the problem, it has not been possible to solve it until new reform, because the analysis of the current practice shows that the only way to solve the problem is to dismantle the dilapidated multi-apartment residential buildings and build new ones instead. 
 The present article discusses the history of the development of the housing system in Georgia, the preconditions of the housing crisis, the existing social programs in Tbilisi Municipality, and the reform aimed at the gradual replacement of dilapidated houses. The article focuses on the international experience related to housing fund management, including in the countries of the post-Soviet space. The scope of powers of the state, municipality, and owners, prerequisites for the replacement of damaged residential houses, and decision-making procedure are discussed. The replacement process, the general characteristics of the multi-unit residential buildings subject to replacement, and the challenges the social program faces are described.

Identifying rural high energy intensity residential buildings using metered data

The residential housing stock in rural areas of the U.S. is often older and less energy-efficient than homes built in urban areas. To characterize the energy performance of these buildings and facilitate their energy efficiency upgrades, this study provides a framework for analyzing building energy time-series data to identify buildings with similar temporal energy performance patterns. Using an unsupervised hierarchical time-series clustering algorithm, this framework aims to identify highly inefficient buildings as strong candidates for energy efficiency improvement programs. Weather-normalized electricity and natural gas consumption data from 320 properties in the rural town of Bloomfield, Iowa, covering a six-year reporting period from 2014 to 2019 is used to optimally cluster energy consumption data into two groups, including average and high intensity energy users. To correct the underlying bias of the commonly used area-normalized energy use intensity (EUI) indexes towards smaller homes, the proposed clustering algorithm only compares the EUI of homes with similar floor areas. User types are defined for electricity and natural gas consumption separately to allow for tailored actions and policy recommendations. Accordingly, 5% and 7% of residences in the dataset were classified as high intensity users for electricity and natural gas, respectively. Of the remaining, 88% of homes were classified as average intensity users for both energy types. Only 2 properties in the dataset (less than 1%) were identified to be high intensity users for both electricity and natural gas. Homes classified as high intensity electricity and natural gas users, although smaller in number, were, on average, 44% and 30% more energy intensive, respectively, when compared to similar-sized average intensity consumers. The results also indicated that older homes are generally more likely to be high intensity natural gas consumers while a relatively higher percentage of newer homes were classified as high intensity electricity users.

The Real Estate Market in Ghana: The Driving Factors and Housing Price.

Abstract
 The pricing of real estate houses in Ghana is a great concern to most Ghanaians. Numerous factors contribute to this. The purpose of this study was to discover the key variables influencing Ghanaian real estate pricing. Members of the Ghana Real Estate Developers Association (GREDA) were given a total of 196 sets of structured questionnaires. The members comprised of contractors, consultants, the client’s team, and others. Out of these questionnaires distributed, 130 completed questionnaires were returned. The results of the analysis showed the following as the main factors driving real estate prices: construction cost, financial market, structural features, government policies, macroeconomic determinants, and shifting population demography to be the major factors driving the pricing of real estate residential houses in Ghana. The value of R (the correlation coefficient of the regression analysis) was 0.846, indicating a very high positive correlation existing between the dependent and independent variables. This suggests that the two variables are moving in the same direction. The study concludes that population demographics, construction cost, structural feature, macroeconomic variables, government policy, and financial market explain 62.9 percent of the variability in the pricing of real estate residential dwellings in Ghana.

Predicting Passivhaus certification of dwellings using machine learning: A comparative analysis of logistic regression and gradient boosting decision trees

Passivhaus has gained recognition as a reliable solution for low-energy residential housing. However, existing studies lack comprehensive quantitative analysis of real-life cases, restricting the availability of evidence and experience from certified buildings. This study addresses this gap by examining the relationship between characteristics of certified passive houses and their energy performance. The objective is to establish dependable statistical models and best practices for early design stages of passive houses. The study analyzes a significant number of certified cases (n = 785) in residential settings situated in two climate zones: Temperate, no dry season, warm summer (n = 328, 41.78%) and Cold, no dry season, warm summer (n = 457, 58.22%). To assess whether residential buildings meet passive house energy standards, models using logistic regression and gradient boosting decision trees were developed employing three boosting methods: XGBoost, LightGBM, and CatBoost. Results reveal that CatBoost (F1 = 0.73, Logloss = 0.63, AUC = 0.78, Brier = 0.22) outperforms logistic regression (F1 = 0.72, Logloss = 0.62, AUC = 0.72, Brier = 0.22) in terms of accuracy. Additionally, LightGBM (F1 = 0.79, Logloss = 0.58, AUC = 0.75, Brier = 0.20) exhibits superior predictive calibration. This study indicates that external wall, floor slab, and roof thermal performance are crucial factors for meeting passive house standards (P-value = 0.0046). The research also discusses innovative practices and technologies derived from the certified cases. Overall, this study provides valuable insights for certification systems and early design strategies.

Contemporary differences in residential housing values along historic redlining boundaries

AbstractRedlining refers to discriminatory lending practices based on the demographic composition of neighborhoods. The term is often attributed to boundaries drawn on maps by the Home Owners’ Loan Corporation (HOLC) in the 1930s to represent the perceived credit risk of neighborhoods. Combined with other discriminatory actions, redlining restricted access to mortgage financing for racial minorities, and areas subject to historic redlining practices still exhibit worse outcomes on various socio‐economic dimensions. This study examines contemporary differences in residential housing values along historic redlined boundaries. Boundary fixed effects models are constructed using contemporary property sale data for Seattle, WA and Richmond, VA from 2000 to 2018. Results indicate that properties inside a redlined boundary continue to sell at significantly discounted prices compared to houses across the redlined border. Further investigation, using historic data from the 1930s and 1940s, finds that there was also a large and significant historic difference in housing values across the redlined boundaries at that time, including before the advent of HOLC maps. This suggests that contemporary differences in housing values are likely not a direct effect of HOLC maps but rather depict the lingering effect of broader redlining and discriminatory practices that existed before the advent of these maps.

Factors that Influence the Academic Success of College Athletes Participating in the National Association of Intercollegiate Athletics

The purpose of this research is to conduct an exploratory study examining factors that influence the academic success of college athletes participating in the National Association of Intercollegiate Athletics (NAIA), a subject that has not been empirically studied. For this study, academic success defined as retention and graduation, represents the dependent variables of interest. Additionally, this study examines actors influencing academic success including institutional financial aid, background characteristics (race, gender), college experience (GPA, residential housing), athletic characteristics (sport, athletic expenses), organizational structure, and participation as a varsity or non-varsity athlete. This study uses institutional data from 2019-2020 NAIA’s Return on Athletics (ROA) initiative, and data from the Integrated Postsecondary Education Data System (IPEDS). Logistic regression is used to answer two research questions exploring the factors that influence NAIA college athlete success. Findings indicate athletes are retained at a high rate in comparison to available NAIA data, but certain sub-groups may be at risk for attrition. Specifically, non-varsity athletes, athletes with a grade point average below 3.0, or those who have been enrolled less than two years.

Simulation-based assessment of the climate change impact on future thermal energy load and indoor comfort of a light-weight ecological building across the six climates of Morocco

The potential effects of global climate change on buildings are a growing concern worldwide, as rising temperatures can significantly impact their energy performance and indoor thermal comfort conditions. This article examines the impact of global warming across six different climate zones of Morocco by comparing under 2050 RCP8.5 scenario the current and future thermal energy requirements and indoor comfort levels of a light-weight ecologically-designed detached residential house. The reference case study building is in a semi-arid climate of Morocco and empirically validated following the ASHRAE guideline 14, with CV(RMSE) less than 3.2 and NMBE less than 1.4 for the two 38-day monitored thermal zones.The study includes aframework to evaluate the thermal energy needs for maintaining indoor thermal comfort and the overheating intensity triggered by climate change and varying due to spatial scale. Overall, the findings show that Morocco will suffer with differing magnitudes from the temperature increase linked to global warming, which will result in an upsurge in the thermal needs for cooling, particularly in the southern regions of Morocco, and a general reduction in the heating thermal energy needs across the different climates of Morocco, with an annual thermal energy demand change ranging from −2.7% to 17%, depending on the investigated city. This wide variation in thermal energy demand underlines the need to assess the effects of the warming climate in the local context. Besides, under conditions of Air Conditioning (AC) failure, the Indoor Overheating Hours (IOH) increase up to 27% between the current climate conditions and the 2050 climate conditions while indoor temperature changes exceed 1.5 °C during the hottest days of the summer.Strategically, the research study intends to support global efforts to build resilient societies by bringing awareness to how susceptible indoor occupants are to projected warming temperatures. The study also lays the groundwork for prioritizing and assessing adaptation solutions to protect people's health, comfort, and productivity within buildings despite climate change in the most sustainable manner.

Modern Pamir house and calendar and astronomical views of the Pamiris

This paper presents the evolution of the Pamir house over the past 100 years since the explorations of the Russian ethnographer Mikhail S. Andreev took place. Despite the availability of the studies of the 1920s–1950s on the Tajik traditional dwelling (Pisarchik, 1958a; Voronina, 1951, 1975; review studies: Mamadnazarov, 1978; Muradov, 2021), the classical Andreev’s work (1958), conducted in the valley of the Khuf River (Pamir), remains topical. The Gorno-Badakhshan variant of the house construction (Pamir and Pamir region), distinguished on the basis of its ingenuity, stands apart amongst the other four geographical types. The paper concerns the comparison of the main elements of the contemporary dwelling of the population of the Western Pamir with the traditional ones. A special attention is given to the calendar and astronomical matters that relate the design of the Pamiri house to timekeeping. Our research is based upon the results of the study of 26 residential houses in the village of Midensharv (located 20 km southeast of Khorog in Roshtkala District of the Gorno-Badakhshan Autonomous Okrug) and several buildings in the villages of Parzudzh, Barodzh, and Tusen. Most of the houses were built in the 1960s–1980s. Modern Pamiris know the places in the house where the sunbeam falls on one or another special day, but in modern buildings there are no marks for the days of Nowruz, and summer and winter chillas, which were reported by Andreev. The methods of mathematical modeling show that in some cases the informants are accurate with the dates, but sometimes they confuse the holidays. Over the last hundred years, the Pamir house has undergone certain changes associated with the natural development. The changes of the traditional society, the beginning of which was noted by M. Andreev, have led to the widespread use of the Gregorian calendar, whilst the functions of individual timekeeping have lost their value. Nowadays, amongst local residents few people would remember the timekeeping by the human body ‘mard’, whilst the modern Pamir house has not preserved the marks of certain days of the year that were present earlier. Nevertheless, it can be argued that the Pamir inhabitants have retained quite a lot of knowledge and traditions. Although there are already no signs in the modern Pamir house, people continue to navigate in time using sunlight marks, which give an accuracy of about 20 minutes, which is enough for a rural lifestyle. All new houses are built according to the Pamir canon, and not by the projects of modern designers.

Covid-19s Influence on the Sale of Chinese Commercial Residential HousingEvaluation Analysis Based on Multi Variable Linear Regression Model

In January 8th, 2023, Chinese government officially terminated its quarantine policies after the publication of The Overall Plan of Implementing Category B Management Measures to Covid-19 As a Category B Infectious Disease, since then, Chinese society entered into a brand new phase of the recovery of economic production. Next, in January 17th, 2023, the vice prime minister He Liu made a speech about his optimistic opinions about future Chinese Housing Market in the annual meeting of Davos Forum. This paper chooses the sale of Chinese commercial residential housing as the research object and acquires annual data of Chinese Housing Market since 1998 from Huibo terminal platform and Qianzhan database as the experimental data. This paper uses STATA to model experimental data and conducts research of the sale of Chinese commercial residential housing through the method of linear regression analysis. Bases on the analysis of the experimental data, this paper finds out the conclusion that covid-19 causes significant impacts toward the sale of Chinese commercial residential housing. Bases on the fitting result derived from the fitting analysis of the sale of Chinese commercial residential housing from 2022 to 2024 in the experimental model, it points out that there is going to be significant recovery in Chinese housing market from 2023 to 2024.

Increased bat activity at urban water sources: implications for cross-species transmission of bat rabies to mesocarnivores

AbstractWe examined the potential for urban water sources, specifically golf course ponds, to act as centers for rabies transmission from bats to mesocarnivores in the arid southwestern United States where surface water is often limited. Because residential housing can act as den and roost sites for both mesocarnivores and bats, we also examined the effect of housing density around water sources on activity. Using ultrasonic acoustic recorders to assess bat activity and camera traps to estimate mesocarnivore activity, we compared 14 pairs of wet and dry locations over two years by surveying twice during the summer, once prior to summer monsoons and once during the monsoon season, when surface waters were more available. Number of calls for all bat species combined were greater at wet sites compared to dry sites and calls of two bat species often associated with rabies, big brown bat (Eptesicus fuscus) and silver-haired bat (Lasionycteris noctivagans), were recorded more at wet sites than dry sites in the monsoon season. In both years, raccoons (Procyon lotor) were photographed more often at wet sites while striped skunks (Mephitis mephitis) and gray foxes (Urocyon cinereoargenteus) were less likely to be detected at wet sites. Bat, fox and raccoon activity was not associated with housing density while striped skunks showed a positive correlation. Finally, we examined potential for contact between mesocarnivores and big brown bats, a species implicated in cross-species rabies transmission in our area, by combining call activity of this bat species and photo detections of mesocarnivores during individual hours of the night into a Potential Contact Index (PCI) and found no significant effect of season (pre-monsoon vs. monsoon), species, or treatment (dry versus wet) but did find a significant species by treatment interaction, with raccoon PCI 3–30 times higher at wet sites and no effect on the other two mesocarnivores’ PCI. Overall, we found higher activity of bats at urban waters could increase potential for cross-species transmission of rabies from bats to raccoons but not for gray foxes and striped skunks.

Neurologic outcome and location of cardiac arrest in out-of-hospital cardiac arrest patients who underwent extracorporeal cardiopulmonary resuscitation: A multicentre retrospective cohort in Japan

AimWe examined the association between the location of cardiac arrest and outcomes of patients with out-of-hospital cardiac arrest (OHCA) who underwent extracorporeal cardiopulmonary resuscitation (ECPR). MethodsThis was a secondary analysis of SAVE-J II, a multicentre retrospective registry with 36 participating institutions across Japan, which enrolled adult patients with OHCA who underwent ECPR. The outcomes of interest were favourable neurologic outcome at discharge. We compared the outcome between OHCA cases that occurred at residential and public locations, using a multilevel logistic regression model allowing for the random effect of each hospital. ResultsAmong 1,744 enrolled OHCAs, 809 and 935 occurred at residential (house: 603; apartment: 206) and public (street: 260; workplace: 210; others: 465) locations, respectively. The proportion of favourable neurologic outcomes was lower in OHCAs at residential locations than those at public locations (88/781 (11.3%) vs.131/891 (14.7%); adjusted odds ratio, 0.72 [95% confidence interval, 0.53–0.99]). However, subgroup analyses for patients with EMS aged <65 years call to hospital arrival within 30 minutes or during daytime revealed less difference between residential and public locations. ConclusionWhen cardiac arrests occurred at residential locations, lower proportions of favourable neurologic outcomes were exhibited among patients with OHCA who underwent ECPR. However, the event’s location may not affect the prognosis among appropriate and select cases when transported within a limited timeframe.

A Life-Cycle Carbon Emissions Evaluation Model for Traditional Residential Houses: Applying to Traditional Dong Dwellings in Qandongnan, Guizhou Province, China

In recent years, due to the low energy utilization of the whole life-cycle of buildings, the diminished indoor and outdoor comfort of buildings, and the impact on the surrounding environment caused by the carbon emissions of the building life-cycle, the establishment of a whole life- cycle carbon emission evaluation model for buildings to improve their energy utilization at all stages of their life-cycle has received unprecedented attention. In China, the construction industry has become a major carbon emitter, and traditional houses, as a green development building type, are an effective way to achieve carbon neutrality in buildings; however, the existing green building evaluation system lacks quantitative indicators of carbon emissions in the building life-cycle. The exclusive evaluation indexes for regional and characteristic buildings, such as traditional houses, are neglected. This study explored the formula for calculating the life-cycle carbon emissions model of traditional residential houses under a carbon emission intervention and used real measurements of the physical environment. Based on the results of indoor and outdoor heat and humidity environmental tests of residential houses due to locality, four important factors affecting local green buildings in terms of energy utilization, site ecology and landscape, land saving, and material saving were extracted; on this basis, the whole life-cycle carbon emission evaluation model of traditional residential houses was constructed by combining the existing green building evaluation standards with the carbon emission indexes of the life-cycle of traditional residential houses.

Decision to Residential Purchasing in Denpasar Before and During the Covid-19 Pandemic

Indonesia's economic growth from 2018 to 2022 is volatile; the residential property sector is projected to follow macroeconomic trends. Based on interviews with members of Real Estate Indonesia in the Bali region, sales of the property sector, especially large-type residential housing in Denpasar for the 2018-2019 period, experienced growth but not significantly. In contrast to the 2020-2022 period, it experienced significant growth amid the COVID-19 conditions. This phenomenon was not spared from the role of the developers, who carried out a good strategy regarding consumer behavior amid the economic difficulties at that time so that they were able to boost sales of large-type residential dwellings in Denpasar. This study analyzes the decisions of residential purchasing in Denpasar before and during the COVID-19 pandemic. So, there are two groups of samples for two periods, namely the years 2018-2019 and 2020-2022. The selected samples include 87 respondents of consumers and 60 respondents of developers. Data were analyzed using Smart-PLS using the Multi Group Analysis feature to examine the differences in the analysis results for the two sample groups. Developers were involved as a sample because they were assumed to be able to recognize the preferences of consumers in deciding residential purchasing. The results show a similarity of factors before and during the COVID-19 pandemic, namely promotion and the developer's image, significantly influencing residential buying decisions. Meanwhile, the factor that distinguished the two sample groups was the price factor, which significantly influenced the decision to buy housing before the pandemic, while environmental factors significantly affected the decision to buy housing during the pandemic.

Decision to Residential Purchasing in Denpasar Before and During the Covid-19 Pandemic

Indonesia's economic growth from 2018 to 2022 is volatile; the residential property sector is projected to follow macroeconomic trends. Based on interviews with members of Real Estate Indonesia in the Bali region, sales of the property sector, especially large-type residential housing in Denpasar for the 2018-2019 period, experienced growth but not significantly. In contrast to the 2020-2022 period, it experienced significant growth amid the COVID-19 conditions. This phenomenon was not spared from the role of the developers, who carried out a good strategy regarding consumer behavior amid the economic difficulties at that time so that they were able to boost sales of large-type residential dwellings in Denpasar. This study analyzes the decisions of residential purchasing in Denpasar before and during the COVID-19 pandemic. So, there are two groups of samples for two periods, namely the years 2018-2019 and 2020-2022. The selected samples include 87 respondents of consumers and 60 respondents of developers. Data were analyzed using Smart-PLS using the Multi Group Analysis feature to examine the differences in the analysis results for the two sample groups. Developers were involved as a sample because they were assumed to be able to recognize the preferences of consumers in deciding residential purchasing. The results show a similarity of factors before and during the COVID-19 pandemic, namely promotion and the developer's image, significantly influencing residential buying decisions. Meanwhile, the factor that distinguished the two sample groups was the price factor, which significantly influenced the decision to buy housing before the pandemic, while environmental factors significantly affected the decision to buy housing during the pandemic.