Residential Property Research Articles

Urbanization and Its Impact on Real Estate Development in Uganda

Urbanization in Uganda is driving significant transformations, impacting the dynamics of cities and the real estate sector. As rural populations migrate to urban centers like Kampala, Entebbe, and Mbarara for better opportunities, the resulting population growth pressures existing infrastructure and exacerbates housing shortages. This surge in demand for residential and commercial properties necessitates substantial investments and innovative approaches to expand and upgrade urban infrastructure. The housing market faces a stark contrast between luxury developments and underserved informal settlements, highlighting the need for affordable housing solutions and policies. Urbanization also offers opportunities for sustainable and smart city development, integrating green building practices, renewable energy, and advanced technologies to enhance urban resilience and efficiency. Government policies and urban planning initiatives are crucial in promoting sustainable growth, affordable housing, and robust infrastructure development. By addressing infrastructure needs, implementing innovative housing solutions, and adopting sustainable urban planning, Uganda can create vibrant, inclusive, and resilient cities for the future. Keywords: Urbanization, Real estate development, Infrastructure, Affordable housing, Sustainable cities.

Characteristic features of robberies against residential property committed by organised groups in rural areas

The relevance of the subject under study lies in the fact that under martial law, the problem of robberies against citizens’ homes is exacerbated, specifically, their danger increases due to the greater probability of members of an organised criminal group having firearms than in peacetime. The purpose of this study was to identify the characteristics of robberies against residential premises in rural areas committed by organised groups, to establish the factors which influence the choice of the victim of a future attack by the perpetrators, and to identify preventive measures to reduce the commission of such crimes. To address these issues, the study employed a set of methods of scientific cognition: systemic-structural, comparative, statistical, and systemic. The study found that a characteristic feature of such attacks is that they are committed by a group consisting mainly of fellow villagers with internally stable, long-term, trusting relationships, with a willingness to systematically commit violent crimes against individuals. They are characterised by a hierarchy and preparation for robberies in rural areas. It was established that during preparation for a robbery, to obtain the necessary information, offenders often study the routes of the village, find out information about its inhabitants, and select a victim. They can even speak directly to the potential victim and/or their neighbours. Therefore, interviewing villagers during the investigation of such a criminal offence is a significant step in identifying the perpetrators. The study identified factors that influence the commission of robberies in rural areas (presence of valuable property of the victim; remoteness of their residence, absence of neighbours; planned power outages, physically vulnerable person, etc.). To commit attacks on people’s homes in rural areas, attackers choose several villages in relatively familiar areas, which may be located in one region or in another region with which they border. It was noted that this complicates the work of law enforcement agencies in investigating this type of crime. The practical value of this study lies in the consideration by law enforcement officers of the theoretical results of this study regarding the impact on the choice of victims by criminals and the established characteristics inherent in such robberies

Analysis of the Influence of Domestic Products, Loan Interest Rates, and Residential Property Price Index on Home Ownership Credit Distribution in Indonesia for the Period 2015:TW.I – 2023:TW.III

This research examines the relationship between Gross Domestic Product (GDP), interest rates and house prices on mortgages in Indonesia. Using the dynamic ECM Domowitz-Elbadawi method, this research explores the short and long term relationships between these variables. House prices are measured using the composite Residential Property Price Index in the primary market. The research results show that GDP has a positive and significant effect on mortgage distribution in the short term. On the other hand, in the long term, both interest rates and house prices have a negative and significant influence on mortgage distribution. These findings are valuable for strategic decision making in property investment and policy formulation, suggesting that increasing GDP can boost mortgage distribution, while managing interest rates and house prices is important for long-term stability.

Do 5G cell phone towers decrease house prices? Evidence from Warsaw

AbstractThis study investigates the impact of telecommunication infrastructure on residential property prices in Poland. This study contributes to the discussion of economic externalities related to new public infrastructure within the urban landscape. We use hedonic regression, matching techniques, and a difference-in-differences estimator to assess the impact of base transceiver stations on apartment prices in Warsaw, the capital of Poland, which covered market data on the sales of residential premises located in Miasteczko Wilanów estate in Warsaw from 2016 to 2021. In the analysed period, 1,825 residential sales were recorded and used for econometric modelling. The results do not confirm the influence of the vicinity of the wireless communication technology infrastructure on residential real estate prices in the studied local market. In particular, we did not observe a detrimental effect of cell phone towers on housing prices. Additionally, we investigate whether residential sale prices in proximity to BTS changed significantly after the introduction of the 5G standard. This particular issue has not been addressed in the economic literature. We found that the sale prices of apartments located in Warsaw were not statistically affected by the introduction of a fifth-generation technology standard for broadband cellular networks. Our research contributes to a better understanding of stigmatisation effects related to telecommunication infrastructure, and in particular, the links between the presence of cell phone towers and residential property values in the neighbourhood. The results may be of interest to all potential agents involved in neighbourhood conflicts arising from investments in cell phone towers and the development of new communication infrastructure in urban landscapes.

Application of the ARIMA model in house price index in Malaysia

The factors that affecting the escalating price of houses in Malaysia are driven by factors such as population growth, income dynamics, interest rates, and GDP. This phenomenon has notably outpaced the growth of household incomes, thus majorly impacting Malaysians. The study’s primary goal is to forecast the housing price index in Malaysia from the best model obtained using Box-Jenkins method. aligning with the 2018-2025 National Housing Policy objectives, utilizing advanced machine learning and time series modeling. The objectives guide the research: to find the best model for predicting house price index in Malaysia using Box-Jenkins Method. Utilizing secondary data from the National Property Information Centre (NAPIC) spanning from 1988 to 2023, the study employed the analytical method of ARIMA. The results favored the ARIMA (1,1,1) model as the best model in predicting housing price indexes. This offers an excellent forecasting model for residential properties towards gaining better understanding of their pricing dynamics and offers potential solutions to the issue of housing affordability for Malaysians.

Unveiling Rare Patterns: Anomaly Detection in CCTV Footage for Safeguarding Home Premises

Abstract Protecting residential properties through CCTV surveillance has become a crucial aspect of contemporary living. In the age of data-driven security, detecting unusual and infrequent patterns within CCTV footage is of significant importance. Conventional anomaly detection methods often need help to handle the intricacies and distinctiveness of home environments, where family members and potential intruders co-exist. To address these challenges, this research incorporates extensive datasets, various machine-learning techniques, and thorough evaluation measures to pinpoint rare patterns that might signal threats to residential premises. These findings provide valuable insights for homeowners, security professionals, and developers working on surveillance systems.

Home Ownership Dynamics: Analysis of The Impact of Gold, Bonds and Stocks on Property Investment Moderated by Loan Interest Rates

The purpose of this study is to examine how shares, bonds, and gold affect real estate investment, which is influenced by loan interest rates. In this study, the data type used is quantitative. Secondary data in the form of residential property price index data, bonds, stocks, loan interest rates and gold prices were sourced from Bank Indonesia. On a monthly basis, sampling employed a time series data method. Multiple linear regression is the data analysis technique employed in this study, which makes use of the E-views software. The study's findings indicate that gold has little bearing on real estate investments. Bonds have an impact on real estate investing. This demonstrates how interest rates or the inclination to invest in real estate can be impacted by an increase in bonds. Increase in shares can influence the interest or tendency to invest in property. Loan interest rates cannot moderate the influence of gold on property investment. Loan interest rates can moderate the effect of bonds on property investment. The results of this research show that there is a negative correlation, meaning that loan interest rates can weaken the influence of bonds on property investment. Loan interest rates can moderate the influence of shares on property investment. The results of this research show that there is a negative correlation, meaning that loan interest rates can weaken the influence of shares on property investment.

La participación ciudadana como motor de las políticas de vivienda: el caso de la ocupación del Hotel Cambridge

Faced with State inefficiency in housing provision, the occupation of the Cambridge Hotel, located on the outskirts of São Paulo’s city center, was used as a case study to identify possibilities in the struggle for social housing. The building, initially a hotel built in the 1950s, closed in 2002, was expropriated in 2011, and occupied by the Downtown Homeless Movement (Movimento Sem Teto do Centro) in 2012. The movement, after social tensions and participation in participatory councils, obtained the donation of the property and its license in a federal requalification program. Through qualitative analysis of the housing deficit in Brazil, characterized by the excessive burden of rents and the precariousness of real estate, in contrast to housing policies focused on the production of units through development programs in peripheral locations, it is understood that the analysis of the determining factors for the case study’s feasibility can contribute to the discussion of government policies and actions. The methodology, based on the procedural field, observational methods, and literature review in the logical field, was structured in dialectical and inductive methods for the research, systematization, and critical analysis of bibliographic and documentary references and, in empirical processes, in the qualitative analysis of semi-structured interviews and onsite visits. It was concluded that the power of dialogue and formation of the movement’s networks and its strategy, based on surrounding itself with actors that solidify its struggle, contributed to the viability of the Cambridge Hotel as a residential property. Based on the data analyzed, it is also argued that the participation of municipalities is undeniable in enabling the provision of housing in central areas. However, considering the hegemonic bias identified, the political action of social movements and the participation of academia in its instrumentalization are essential to strengthen the Capital-State relationship and enable the collation of territorial policies that the right to the city contemplates.

“We Called It ‘Cancer Park’”: Soil Contamination and Outdoor Leisure in Southeast Los Angeles

Environmental justice work has long sought to illuminate and challenge the inequitable impacts of pollution. In this case study, we evaluated the impact of soil lead contamination on outdoor leisure in Southeast Los Angeles, where more than 2000 residential properties near a lead-acid battery recycling facility indicated high soil lead levels. This study employed an embedded case study design to (1) evaluate the impact of soil lead contamination on residents’ outdoor leisure and (2) illuminate the socio-political institutions that wield power to shape daily life. Embedded survey results indicated that neither objective nor subjective soil lead measures were associated with outdoor leisure time of adults or children; however, additional forms of evidence illuminated how compounding environmental hazards, inadequate communication, and power inequities shaped outdoor leisure activities in Southeast Los Angeles. These findings sought to critically illustrate that health promoting outdoor leisure spaces are a privilege afforded to some, but not all.

Exploring the Factors Influencing Chinese Consumers’ Condominium Purchase Decision

This research aims to explore the factors influencing Chinese consumers’ purchase decisions regarding purchasing of condominiums for residential purposes in Thailand, and to understand consumers’ rationale and concerns in relation to these factors. Data were collected through semi-structured in-depth interviews with respondents of Chinese nationality, selected through purposive sampling. The qualitative data were coded and analyzed using the NVIVO program. As a key finding of the study, the author identified 17 key factors comprising (1) location, (2) functionality, (3) expenses, (4) safety, (5) future rental or sale opportunities, (6) scenery and surroundings, (7) facilities, (8) reputation of developer, (9) growth trend of property price, (10) interior decoration, (11) ventilation, (12) number of floors, (13) physical condition of the condominium, (14) type of residential project, (15) construction quality, (16) property management, and (17) design. The study generates a wide range of factors, rational and concerns of this particular market segment due to qualitative nature of the study, which ultimately contributes a more thorough research model for future quantitative study.

Evaluating Profitability and Livelihood Empowerment and Sustainability in Shadow Entrepreneurship: A Case of Street Vending in Dharan Sub-Metropolitan City of Eastern Nepal

Street vending is emerging as a significant shadow entrepreneurial activity, impacting a substantial portion of the urban population. This study, centered in Dharan City, Eastern Nepal, investigates the profitability of street vending and its impact on empowering and sustaining lives and livelihoods. Through structured interviews with 50 purposively selected street vendors, the research identifies key determinants of profitability, such as education, investment, marital status, livestock ownership, and consumption patterns. Findings suggested that married vendors, those with livestock and residential property, and those prudent in educational spending tend to achieve higher profits. Conversely, individuals with low capital investment, from rural areas, and maintaining moderate consumption may experience adverse effects on profitability. The findings also underscored the crucial role of street vending in individual survival, livelihood empowerment, social inclusion, and sustainability. The findings provide valuable insights for local-level policymakers struggling to harness the complexities of growing urban economies by regulating and managing street vendors' activities across Nepal.

Pengaruh Harga Properti Residensial terhadap Proporsi Kredit Pemilikan Rumah pada Portofolio Kredit di Indonesia

This research aims to analyze the effect of the Residential Property Price Index (RPPI) on the composition of Home Ownership Credit (KPR) in the banking credit portfolio in Indonesia. The study was conducted using secondary data from the period of 2010 to 2022 from various sources such as Bank Indonesia and the Central Bureau of Statistics. Using the time-series regression, the research indicated that RPPI insignificant effected the composition of KPR in the banking credit portfolio in Indonesia. However, inflation rate and interest rates have a significant impact on the proportion of KPR. For credit regulator, this study can add perspectives on the impact of RPPI changes on credit portfolio composition.

Willingness and capacity of publicly-funded vector control programs in the USA to engage in tick management

BackgroundThe vast majority of vector-borne diseases in the USA are associated with mosquitoes or ticks. Mosquito control is often conducted as part of community programs run by publicly-funded entities. By contrast, tick control focuses primarily on individual residential properties and is implemented predominantly by homeowners and the private pest control firms they contract. We surveyed publicly-funded vector control programs (VCPs), presumed to focus mainly on mosquitoes, to determine what tick-related services they currently offer, and their interest in and capacity to expand existing services or provide new ones.MethodsWe distributed a survey to VCPs in the Northeast, Upper Midwest and Pacific Coast states of the USA, where humans are at risk for bites by tick vectors (Ixodes scapularis or Ixodes pacificus) of agents causing Lyme disease and other tick-borne diseases. The data we report are based on responses from 118 VCPs engaged in vector control and with at least some activities focused on ticks.ResultsDespite our survey targeting geographic regions where ticks and tick-borne diseases are persistent and increasing public health concerns, only 11% (12/114) of VCPs reported they took direct action to suppress ticks questing in the environment. The most common tick-related activities conducted by the VCPs were tick bite prevention education for the public (70%; 75/107 VCPs) and tick surveillance (48%; 56/116). When asked which services they would most likely include as part of a comprehensive tick management program, tick bite prevention education (90%; 96/107), tick surveillance (89%; 95/107) and tick suppression guidance for the public (74%; 79/107) were the most common services selected. Most VCPs were also willing to consider engaging in activities to suppress ticks on public lands (68%; 73/107), but few were willing to consider suppressing ticks on privately owned land such as residential properties (15%; 16/107). Across all potential tick-related services, funding was reported as the biggest obstacle to program expansion or development, followed by personnel.ConclusionsConsidering the hesitancy of VCPs to provide tick suppression services on private properties and the high risk for tick bites in peridomestic settings, suppression of ticks on residential properties by private pest control operators will likely play an important role in the tick suppression landscape in the USA for the foreseeable future. Nevertheless, VCPs can assist in this effort by providing locally relevant guidelines to homeowners and private pest control firms regarding best practices for residential tick suppression efforts and associated efficacy evaluations. Publicly-funded VCPs are also well positioned to educate the public on personal tick bite prevention measures and to collect tick surveillance data that provide information on the risk of human encounters with ticks within their jurisdictions.Graphical

The Relationship of the 4P Model to Purchasing Decisions: Evidence on Residential Property

This paper explores the application of the 4P model (product, price, place, promotion) in analyzing the factors that influence house purchasing decisions in the Anging Mammiri Residence housing complex, Makassar City. Through quantitative research with a descriptive approach and collecting primary data through questionnaires, validity and reliability tests were carried out on these variables to ensure the robustness of the variables and the formation of a linear relationship between the variables. The population in this research is the number of consumers who have bought a house at Anging Mammiri Residence, Makassar City from 2016 to 2022. In this research, the sample was taken using the Census Sampling technique where the researcher took the entire sample or part of that number. Questionnaires were distributed to all home buyers totaling 131 respondents. However, at the data processing stage, 61 respondents did not return the questionnaire. So, the number of samples used was 70 respondents. The research results found that product, price, location and promotion had a significant and positive influence on the decision to purchase a house at Anging Mammiri Residence, Makassar City. This research contributes to understanding the elements of the marketing mix and analyzes the 4P model in shaping consumer decisions and its implications for the property market. Apart from that, it contributes to the government as a source of literature in formulating appropriate policies and in building infrastructure and regional development such as roads and other public facilities.

Tenants' Assessment of the Estate Surveying and Valuation Firms' Services in Akure Residential Property Market

Tenants' Assessment of the Estate Surveying and Valuation Firms' Services in Akure Residential Property Market

Unlocking visual data to enhance the accuracy of AI-enabled mass valuation of urban houses: An Australian city case study

Despite earlier praises of hedonic price models (HPMs) in predicting the prices of residential properties, stakeholders in the property market have raised concerns regarding inaccuracy in automated valuation models (AVMs) using conventional HPMs. Furthermore, despite significant advancements in integrating artificial intelligence and image data into AVMs, research in the Australian context is absent. This paper investigates how image data capturing visual features of properties could enhance valuation accuracy using the data of actual sales of 34,399 properties from 2018 to 2020 across 128 urban suburbs in Brisbane, the third largest city in Australia. We develop a convolutional neural network model to extract visual features from large-scale data of 320,000 street-view and aerial-view images. We develop fusion models to integrate these additional visual features in HPMs. Using several experimental designs, our preferred fusion models generate a reduction of 28.35% in root-mean-square errors. Less predictive errors of AI-enabled AVMs through the use of visual data would enhance business confidence for AVMs’ end-users for investment, reporting, risk management, tax estimation, and urban planning purposes.

A comparison of new transport projects in Sydney, Australia: Decomposition of the impact on residential property prices

Public transport projects are expensive, long-lived and their funding is often a challenge. As a result, relevant authorities around the world are concerned in understanding the economic impacts induced by these new public transport projects and, in particular, whether any increases in land value which may follow an investment (referred to as land value uplift) can be ‘captured’ as a potential source of funding. Land value uplift can occur at different stages of a project and might not be only due to the improved accessibility of the project. This study focusses on understanding the complexity of land value uplift on residential properties resulting from three public transport projects in Sydney, Australia (two light rail projects and one heavy rail), as a way of providing insights to create evidence-based value capture policies. Multilevel models are presented comparing the affected or ‘catchment’ areas of the projects with what is referred to as a ‘control area’ where the investment has not had an impact. The total residential land value uplift is analysed prior and post implementation – and decomposed into what can be attributed to improved accessibility, property characteristics, neighbourhood characteristics, time series, and unobserved uplift. The results show that the anticipated value uplift before the projects’ implementation is significantly higher for the heavy rail project (between 12 and 15 per cent after its construction process started for properties located within 800 m from the station) than for the light rail project (5.7 per cent only for properties located within 400 m from the station), but it is close to zero for the project that represents the anticipated uplift for a light rail extension project after its announcement. However, there is a significant value uplift for the light rail extension project after its implementation (around 6 per cent) which is mainly due to the accessibility improvements. The distance to stations also showed to be significant in the light rail and heavy rail projects, with properties closer to the stations having a higher anticipated value uplift.

Location and Brand Image Outshine Price in Homebuyer Decisions in Indonesia

General Background: The increasing population in Medan has led to a rising demand for housing, prompting competition among companies to provide secure and comfortable upper-middle-class residences. Specific Background: Citraland Helvetia serves as a case study to understand the dominant factors influencing consumer decisions in purchasing homes. This study specifically investigates whether price, location, promotion, brand image, and facilities significantly impact the purchase decisions at Citraland Helvetia. Knowledge Gap: Previous research has not conclusively identified which factors are most influential during the product launch phase for residential properties in this region. Aims: This study aims to identify the dominant factors affecting consumer purchasing decisions during the product launch of Citraland Helvetia, focusing on location, brand image, and price. Results: The study found that location and brand image are the two most influential factors in the decision-making process, while price has a significant impact but is not as dominant. Promotion and facilities also positively influence purchasing decisions. Novelty: The research provides empirical evidence highlighting the critical role of location and brand image over price during the initial launch phase, which contrasts with the common perception that price is the primary determinant. Implications: These findings suggest that developers should prioritize strategic location selection and strong brand image development to attract buyers. Enhancing these elements can lead to better consumer satisfaction and potentially higher investment returns. The study's insights can inform future urban development and marketing strategies in the housing sector, particularly in emerging urban areas like Medan. Highlights: Dominant Factors: Location and brand image drive home purchase decisions. Price Impact: Less significant during initial product launch phase. Strategic Focus: Prioritize location and brand image for buyer attraction. Keywords: Housing demand, Medan, Consumer decision, Location, Brand image

A year of background sound measurements in suburbia

An internal research project was undertaken to measure the background sound levels at one location with the same equipment for a full year. A suitable location was identified to allow the equipment to stay in the same place and available to refresh data memory cards and battery power. The sound monitoring was done from October 2020 through November of 2021. The site selected was a typical suburban residential property near a secondary road, but far from other influencing sources of sound like highways and industry. The data set is over 9,000 hourly samples of A-weighted sound levels. For each hour the L99, L90, L50, L10, L01 and LEQ were recorded and evaluated for this study. This paper addresses the compilation of the year worth of A-weighted sound levels. The data set also includes one-third octave band sound pressure levels, but those data have not been considered in this evaluation. The noted sound metrics have been evaluated by month, day of the week and hour. The paper also evaluates the selection of the lowest background sound level that is used in many noise ordinances, including the author's home state of Massachusetts.

A New Perspective on Real Estate in Thailand in the Post-Epidemic Era: Multi-Criteria Decision Analysis

The objective of this study was to evaluate the impact of the pandemic on Thailand’s real estate market and to propose recommendations for investors and other market participants on how to continue operating in the market. The primary research methods employed were analysis, forecasting, and abstraction. The impact of the global pandemic on Thailand and the country’s economy, with a particular focus on the real estate sector, was evaluated. The changes observed in the real estate sector since the onset of the pandemic were presented, including a decline in activity due to travel restrictions, a correction of residential and commercial property prices, an increase in demand for suburban properties, and a shift towards online sales, among other notable developments.