Environmental requirements, constantly increasing energy prices as well as energy consumption by residential units and buildings have become an important factor in the decision-making processes in the real estate market. The preferences of residential unit buyers who recognize the problem of energy intensity and translate it into the transaction price have also been changing. However, amendments to the Act on real estate management and new European standards have imposed an obligation to include the certificates of energy performance of buildings and premises on real estate valuers in the valuation process. In this paper, energy intensity understood as the heating requirements of multi-family residential buildings is the basis for assessing the impact of the proposed variants on the market value of residential units. The paper analyzes the energy intensity of various types of buildings (e.g. in low and high buildings) and its impact on the market value of residential units in a selected housing estate in Szczecin, when the property valuer has access to energy performance certificates of neither the unit under valuation nor the units selected for comparison. The purpose of this study is to identify the relationship between the energy intensity and the market value of residential units. The proposed three models of real estate market value: non-classical, multiple regression and average price adjustment taking into account energy intensity, obtain results consistent with the actual transaction price at a satisfactory level. The assessment was made using standard deviation, a coefficient of variation and the average error of forecasts.
The decisions of buyers on the housing market are not only the sum of their subjective expectations but also of the perception of real estate through a prism of opinions and suggestions arising from the surroundings. One of the basic criteria driving households determined to meet basic housing needs is security. The aim of the study is to identify the relationship between the transaction prices of housing and the crime rate in the various districts of Szczecin. For this purpose, data from the Regional Police Headquarters in Szczecin (i.e. map of crimes) and transactional data from notarial acts are analyzed in the work. Then, using statistical and econometric models, spatial relationships of the examined crimes are investigated.
The Presented research aims to analyze the Lithuanian and Polish housing markets in terms of the quality of life in new residential buildings. The article presents the concept of customer satisfaction in construction and criteria that define the quality of dwellings; the benefits, consequences, merits and demerits of the assessment of customer satisfaction are also named. A survey of customer satisfaction helps to evaluate the quality of dwellings according to their technical and functional parameters, as well as the degree of cooperation between customers and developers/contractors. The customer satisfaction index (CSI) was calculated for both countries. The results are useful for developers, contractors, facility management companies and building users.
Research background: Every real estate may be described with a multitude of attributes. In the process of real estate appraisal only those properties are taken into account that significantly affect its value. Mass appraisal involves a simultaneous valuation of many similar real properties, carried out in the same manner and at the same time. The algorithm applied to mass appraisal ought to ensure a uniform approach to the valuation of all real estate of the same type in an objective fashion.
Purpose: The purpose of the paper is to define the weights of attributes in the process of real estate mass appraisal on the basis of relationships between unit property value and the values of attributes.
Research methodology: The weights were defined on the grounds of partial correlation coefficients for the qualitative properties (Spearman rank correlation coefficient and τB Kendall correlation coefficient).
Results: The signs of certain correlation coefficients were discordant with the actual direction of the relations between the analysed properties. The problem was avoided by employing partial correlation coefficients. On the basis of the calculated partial correlation coefficients the weights of individual attributes were calculated. Of all analysed coefficients the partial τB Kendall correlation coefficient is methodologically the most suitable one.
Novelty: The use of partial correlation coefficients for determining attribute weights is an innovative approach and is applied in the article.
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