scholarly journals Assessment of changes in the market value of residential real estate in the area of the commissioned transport interchange of the urban toll road

2019 ◽  
Vol 16 (5) ◽  
pp. 57-69
Author(s):  
M. B. Laskin ◽  
A. U. Talavirya
Keyword(s):  
Real Estate ◽  
High Speed ◽  
Market Value ◽  
Residential Real Estate ◽  
Mass Market ◽  
The Real ◽  
The Real Estate ◽  
Toll Road ◽  
The Impact ◽  
The City

The purpose of this research is to assess the impact of the commissioned toll road running through the city’s residential areas on the market value of residential real estate. The article presents a review of non-traditional methods for assessing real estate value, mainly in foreign publications. The Western High-Speed Diameter (WHSD) is the most significant transport and infrastructure project of the current decade for St. Petersburg. The most inaccessible part of the city on Vasilievsky Island was analyzed, as the example of new and secondary real estate value changes, were examined from August 2015 to December 2017, by the time when the new transport interchange of WHSD in the western part of the island was constructed and put into commission.  For the study, the authors used the data of the Real Estate Bulletin of St. Petersburg at the end of 2015 and 2017, the data of the cadastral assessment of residential real estate of St. Petersburg of 01.01.2015 and 01.01.2018. Main research method is the study of two-dimensional and conditional distributions of random values of bid prices and cadastral values, which allows obtaining estimates of the market value of the real estate that has passed cadastral registration, and estimates of growth rates.  The comparison of prices of offers with cadastral values applied in the article, with a simple and natural speculation of logarithmically normal distribution, allows us to propose a method of assessing the market  value for any property, even if the information about it is not available in the market data. The obtained numerical results showed a rise in the cost of a significant part of the mass-market for the study period up to 18% without discount on the auction, and up to 9% taking into account the discount on the auction. It turned out to be slightly higher than the general change in the prices of proposals that can be found in advertising publications. A significant change (from 50% to 73%) was found in business-class properties, located in the area with significantly changed species characteristics and improved transport accessibility, in the immediate vicinity of the exit from WHSD.  The results, indicating the growth of market value, allowed us to make a general conclusion about the changes in the attractiveness of the area for different segments of the population of the city: both for the mobile middle class, focused on the mass-market, and for buyers of the premium segment, having increased requirements for the real estate. The authors believe that the growth of the market value of real estate in the area of transport interchanges of modern infrastructure projects could be higher in other macroeconomic conditions. At present, the effective demand of the population is obviously not sufficient.  

scholarly journals Market and cadastral data comparison for the real estate market value forecasting

2020 ◽  
Vol 17 (4) ◽  
pp. 44-54
Author(s):  
M. B. Laskin ◽  
P. A. Cherkesova
Keyword(s):  
Real Estate ◽  
Normal Distribution ◽  
Market Value ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Market Data ◽  
The Real ◽  
The Real Estate ◽  
Saint Petersburg ◽  
The Real Estate Market

The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of information resources, and the unstructured nature of market data, which in most cases is focused on advertising, rather than on analytical market research.Materials and methods. The study uses a model of a multidimensional logarithmically normal distribution law of the ensemble of prices for residential real estate at equidistant points of time and cadastral value, the ARIMA model for predicting market value, taking into account the features of the logarithmically normal distribution of prices, as a distribution with positive asymmetry. As a statistical material, we used market data on residential real estate published in the periodical press in the period from the end of 2012 to 2018. The volume of samples of weekly publications is 15000-20000 objects; data for 21 quarters (more than five years) was used. As a comparison base, we used data from cadastral registration of real estate objects in Saint Petersburg for 2018. The total volume of the cadastral database of residential real estate in Saint Petersburg (individual apartments) is 2 226734 objects with a fairly complete (and well-structured) set of price-forming factors. The authors propose a method for estimating the most likely movement of the market value for a pre-selected real estate object that has passed cadastral registration and has a cadastral value entered in the register and predicting the market value in the future period.Results. The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. A well-developed and studied ARIMA time series forecasting model is applied to the logarithms of the obtained time series, the return from logarithmic prices to real prices is carried out taking into account the peculiarities of the logarithmically normal distribution. Results are compared with median scores and estimates, obtained by average values.Conclusion. The paper shows that the introduction of cadastral value in the Russian Federation opens up new opportunities for analyzing and forecasting market prices, since cadastral databases contain the most complete lists of real estate objects, including the cadastral value, which now, in accordance with the law, must be updated at least once every three years and, as of 2015 and 2018, was determined as the market value, therefore, until the next cadastral assessment, can serve as a basis for constant comparison with market data, which are constantly changing, primarily in the composition of objects.

scholarly journals Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jasmina Ćetković ◽  
Slobodan Lakić ◽  
Marijana Lazarevska ◽  
Miloš Žarković ◽  
Saša Vujošević ◽  
...  
Keyword(s):  
Real Estate ◽  
Input Data ◽  
Market Value ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Price Forecast ◽  
The Real Estate Market ◽  
Artificial Neural ◽  
The Impact

Using an artificial neural network, it is possible with the precision of the input data to show the dependence of the property price from variable inputs. It is meant to make a forecast that can be used for different purposes (accounting, sales, etc.), but also for the feasibility of building objects, as the sales price forecast is calculated. The aim of the research was to construct a prognostic model of the real estate market value in the EU countries depending on the impact of macroeconomic indicators. The available input data demonstrates that macroeconomic variables influence determination of real estate prices. The authors sought to obtain correct output data which show prices forecast in the real estate markets of the observed countries.

scholarly journals SPATIAL AND ECONOMIC DEVELOPMENT OF REAL ESTATE IN THE CONDITIONS OF TRANSFORMATION OF URBAN SPACE ON THE EXAMPLE OF THE CITY OF SIMFEROPOL

2021 ◽  
pp. 76-84
Author(s):  
E.Sh. Akimovа ◽  
M.V. Voitseshuk
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Urban Space ◽  
Market Value ◽  
Real Estate Market ◽  
Location Factor ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
The City

The article considers the spatial and economic development of real estate and the influence of the location factor on the market value of real estate objects, as well as the degree of application of averaged adjustments for the location factor to the real estate market in Simferopol.

scholarly journals RESEARCH OF FEATURES OF RENT MARKET DEVELOPMENT

2021 ◽  
Vol 1 (161) ◽  
pp. 116-123
Author(s):  
S. Kobzan ◽  
A. Ivakhnenko ◽  
M. Tolsta
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
The Real ◽  
The Real Estate ◽  
Rental Market ◽  
The Real Estate Market ◽  
The Cost ◽  
The City

The purpose of the article is to conduct a study of the rental market as a separate segment of the real estate market in urban development. A study of the rental market in Kharkiv was conducted. The relevance of the study is to determine the prospects for the development of modern urban economy, taking into account the development of the rental market. The question of the dependence of the rent on the cost of housing and the profitability of certain segments of the housing market is determined. An improved classification of different segments of housing in the modern city is given. An analysis of the cost of rent for each segment and depending on the location. Factors that significantly affect the cost of rent have been studied. Conclusions are made about the future development of the rental market in the municipal economy. In urban planning and urban planning it is extremely important to take into account the prospects and development of such a market segment as the rental market of residential real estate. The relevance of the study is to determine the prospects for the development of modern urban economy, taking into account the development of the rental market. The residential real estate rental market is a very important component for the development of the city in Kharkiv. The issue of researching the apartment rental market is relevant and will be deeply analyzed in the future. To achieve this goal, the following tasks are set in the work: Analyze the rental market. Develop an improved classification of segmentation in the residential real estate market. Conduct research on the factors that affect the cost of rent. Develop a GIS model of the impact of rental costs depending on the area of the city. Build a detailed table of the dependence of the cost of rent on the location. Investigate the interaction in the real estate rental market and sales within urban development. The rental price is influenced by the following factors: - trends of growth or decline of the general state of the real estate market as a whole; - seasonality; - the distance of the district from the city center; - the presence of a transport interchange; - ecology, in the area where the object is located; - developed infrastructure; - level of housing comfort; - the duration of the lease; - number of rooms; - the presence of repairs; - type and condition of the building in which the dwelling is located. The article examines the rental housing market. Defined rental rates: minimum, average and maximum cost. Charts of dependence of cost of rent on a segment and a location are constructed. The housing market is developing despite the unstable economic situation, the devaluation of the hryvnia and declining incomes. The cost of renting an apartment depends on the location, condition of the house, transport infrastructure and the condition of the real estate. The hotel rental market is developing very actively. In Kharkov, in most cases, buy small apartments and hotels for investment (income from further rent). With the help of GOOGLE MAP, a map of the dependence of the average cost of renting hotels and 1-bedroom, 2-bedroom, 3-bedroom apartments on the location in the areas of Kharkiv was developed.

scholarly journals A atuação do Montepio na produção estatal de habitação em João Pessoa de 1932 a 1963

2009 ◽  
Vol 11 (2) ◽  
pp. 95
Author(s):  
Angela Araujo Nunes
Keyword(s):  
Real Estate ◽  
The State ◽  
Housing Production ◽  
The Real ◽  
The Real Estate ◽  
The Public ◽  
Official Record ◽  
The City

Este trabalho objetiva o exame da atuação da Carteira Imobiliária do Montepio do Estado da Paraíba na produção estatal de habitação na cidade de João Pessoa, de 1932 a 1963, período entre a designação da instituição para a produção de moradias em benefício do funcionalismo público até sua última realização antes da criação do BNH. Através de exaustiva pesquisa documental, realizada em acervos locais, e tendo como principal fonte o jornal A União, registro oficial das realizações do Executivo estadual, foram recolhidos dados sobre as realizações habitacionais do instituto, possibilitando a identificação das suas vilas e conjuntos populares e, posteriormente, a classificação das unidades construídas e a reconstituição da planta e fachada originais. Palavras-chave: Montepio; João Pessoa; carteira imobiliária; habitação popular. Abstract: This work analyzes the constructive actuations of the real estate portfolio of Montepio Paraíba State in the statal housing production in the city of João Pessoa, from 1932 to 1963, established between the institutional designation for the production of housing in benefit of the public functionalism and its last popular realization before the work of BNH. Through exhausting documental research, done in local collections and especially through the newspaper A União, official record of the realizations of the state executive, data was found regarding the realizations of the housings by the institution, identifying the cities and popular aggregation and later on classifying the built unities and the reconstitution of thehouse plans and the front elevation. Keywords: Montepio; João Pessoa; real estate portfolio; popular housing.

scholarly journals Civil Engineering Inspection for Real Estate Evaluation with the Use of Artificial Learning Algorithms and Fuzzy Logic

2020 ◽  
Vol 43 (338) ◽  
pp. 75-82
Author(s):  
Vladimir Surgelas ◽  
Irina Arhipova ◽  
Vivita Pukite
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Real Estate ◽  
Civil Engineering ◽  
Market Value ◽  
The State ◽  
The Real ◽  
The Real Estate ◽  
Technical Inspection ◽  
Physical Conditions

AbstractThe technical inspection of a building carried out by an expert in civil engineering can identify and classify the physical conditions of the real estate; this generates relevant information for the protection and safety of users. Given the real conditions of the property, and for the real estate valuation universe, using artificial intelligence and fuzzy logic, it is possible to obtain the market price associated with the physical conditions of the building. The objective of this experiment is to develop a property evaluation model using a civil engineering inspection form associated with artificial intelligence, and fuzzy logic, and also compare with market value to verify the applicability of this inspection form. Therefore, the methodology used is based on technical inspection of civil engineering regarding the state of conservation of properties according to the model used in Portugal and adapted to the reality of Latvia. Artificial intelligence is applied after obtaining data from that report. From this, association rules are obtained, which are used in the diffuse logic to obtain the price of the apartment per square meter, and for comparison with the market value. For this purpose, 48 samples of residential apartments located in the city of Jelgava in Latvia are used, with an inspection carried out from October to December 2019. The main result is the 9% error metric, which demonstrates the possibility of applying the method proposed in this experiment. Thus, for each apartment sample consulted, it resulted in the state of conservation and a market value associated.

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