scholarly journals People and the City: Urban Fragility and the Real Estate-Scape in a Neighborhood of Catania, Italy

2020 ◽  
Vol 12 (13) ◽  
pp. 5409 ◽  
Author(s):  
Maria Rosa Trovato ◽  
Claudia Clienti ◽  
Salvatore Giuffrida
Keyword(s):  
Real Estate ◽  
Social Life ◽  
Life Quality ◽  
Real Estate Market ◽  
Market Prices ◽  
The Real ◽  
The Real Estate ◽  
The Social ◽  
The Real Estate Market ◽  
Civil Economy

Urban/social fragility is the main focus of most studies on civil economy involving the commitment of politics in the prospect of integrating and somehow guiding an ordered development of and ordered communities. The contemporary city is strongly influenced by the incommunicability between the social system and environment, the latter more and more, including urban and societal components. This study tries to outline a comparative social-urban profile of Picanello, a popular central neighborhood of Catania, in Sicily, Italy, characterized by the combination of different urban and social life-quality levels, thus expressing a heterogeneous vulnerability/resilience profile. The analysis is placed in the urban planning context and aims to: (1) Denotative a pattern that considers the different fragility/resilience descriptive indices; and (2) connotative a pattern of the human and urban dimensions of the social capital asset. This analysis was performed by implementing a multidimensional pattern allowing us to place the neighborhood in a ranking of the neighborhoods of Catania, thus highlighting strength and weakness under different respects. Furthermore, the monetary measurements of this vulnerability/resilience profile, was carried by means of the structured observation of the real estate market. Fuzzy k-medoids cluster analyses have been comparatively performed—showing and mapping the relationships between urban value density and real estate market prices tensions.

scholarly journals The cadastral value as a tool for monitoring the real estate market value

2021 ◽  
Vol 37 (1) ◽  
pp. 84-108
Author(s):  
Lyudmila Gadasina ◽  
◽  
Mikhail Laskin ◽  
Ekaterina Zaytseva ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Market Value ◽  
Real Estate Market ◽  
Theory And Practice ◽  
Two Dimensional ◽  
Market Prices ◽  
Market Data ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

In the theory and practice of real estate valuation, in analytical studies of the dynamics of real estate markets there is a problem of tracking changes in market prices. The apparent simplicity of this task leads to the fact that in everyday practice both market participants and professional analysts are satisfied with observations of average prices. The advantage of this traditional approach is computational simplicity. However, in the conditions of presence of a large number of special software and extensive statistical material can be used more complex research methods. The purpose of this article is to research big current market data of real estate objects and compare these data with the cadastral value determined in accordance with Russian legislation as the market value at the specified date. In this regard, there are problems associated with the multidimensional distribution of market prices and cadastral values. The article presents the method of calculation of changes of the real estate market prices on the basis of comparison of two-dimensional prices distributions of offers and cadastral prices for two periods. The main problem in studying the dynamics of real estate market prices is the inability to track the change in market prices for each property, as objects are constantly put up for sale and removed from it. The work carried out in the Russian Federation in 2014 to establish the cadastral value of real estate opens opportunity to analyze two-dimensional distributions of current market and cadastral prices and to assess the dynamic characteristics of the market for any real estate objects. The main result of article is the method which allows to apprise the market value of real estate in real time when new market data come by their comparison with the previously established cadastral value. Cadastral value is assumed to be defined as market value at the valuation date.

scholarly journals Speculative Bubbles and their Components on the Real Estate Market–A Preliminary Analysis

2016 ◽  
Vol 24 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Justyna Brzezicka
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Market Prices ◽  
Speculative Bubble ◽  
The Real ◽  
The Real Estate ◽  
Speculative Bubbles ◽  
Price Bubbles ◽  
The Real Estate Market ◽  
Over Time

Abstract Various speculative phenomena arise on the real estate market, and the speculative bubble (SB) is one of the best known events of the type. Speculative bubbles still have many unidentified components, and are characterized by high research potential due to the multiple factors responsible for bubble creation, as well as considerable practical implications on account of the multivariate results describing the real estate market (REM) and its surroundings. Speculative price bubbles are associated mainly with changes in price trends on the real estate market. A thorough analysis of a speculative bubble over time demonstrates trend changes also in other research categories which constitute bubble components and elements of the real estate market and its surroundings. The above criteria were used to identify a new research category termed speculative bubble components (SBC). The research hypothesis states that speculative bubbles should be analyzed based not only on prices, but also on bubble components. The objectives of this study were to: 1) classify speculative phenomena on the REM, 2) describe a speculative bubble based on market prices and SBC, and 3) present the results of a study evaluating speculative bubble components in relation to market prices, and discuss the trajectories of the analyzed research categories over time. This study attempts to determine whether a speculative bubble can be analyzed in view of its components, and which elements of the real estate market and its surroundings can be classified as SBC. Attempts were also made to identify a research method that supports the identification of SBC variables and classification of variables into groups, and explains market prices in view of the identified variables and groups. The research relies on a review of literature in the theoretical part and statistical analyses in the experimental part. The results will broaden our knowledge of the mechanisms behind speculative phenomena on the real estate market.

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