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Content available Principles of calculating the cadastral value
EN
The purpose of this paper is the analysis of the Cracow real estate market focusing on the mass appraisal. The author of this paper intends to study the optimum principles of calculating the cadastral value of the real estate, which would allow the real estate value, calculated using the mass appraisal techniques, to be as close to market value as possible. The cadastral value of the representative real estate has been calculated using the modified method of correcting the average price. This method has been described in details in this paper. Each representative real estate has been appraised several times. Every valuation process employed different parameters of a given comparable base, according to which the valuation was made. The obtained values were compared to transaction prices that were paid for these real estate properties in the free market.
PL
Przedmiotem niniejszej pracy jest analiza krakowskiego rynku nieruchomości pod kątem powszechnej taksacji. Celem autorki jest opracowanie optymalnych założeń do wyceny wartości katastralnej, w taki sposób, aby otrzymana w wyniku powszechnej wyceny wartość nieruchomości była jak najbardziej zbliżona do jej wartości rynkowej. Wartość katastralną nieruchomości reprezentatywnych określono za pomocą zmodyfikowanej metody korygowania ceny średniej. Metodę tę opisano szerzej w niniejszej pracy. Wycenę każdej nieruchomości reprezentatywnej przeprowadzono kilkakrotnie, za każdym razem zmieniając parametry bazy do porównania, według której wykonano wycenę. Otrzymane wartości porównano z cenami transakcyjnymi, jakie uzyskano za te nieruchomości na wolnym rynku.
EN
A reform of real estate taxes which is surely unavoidable in the future and introduction of a cadastral tax will cause the necessity of a mass appraisal of real estates, in other words - value assessment of all real estates. One of the basic methods of determining market value of real estate is valuation accomplished by means of a comparative approach. This approach assumes that market value of real estate is assessed through comparison to other similar real estates, for which transaction prices and characteristics distinguishing these real estates and having the essential influence on their value are known. One of the essential difficulties of comparative approach is the necessity to have information about real estates similar to the one to be appraised, which were subjects of trade on a given property market. Generally used method of object attributes determination on the basis of maps and reconnaissance requires participation of a man (an operator). In case of mass appraisal it would cause enormous expenditure of labour, resulting in huge costs. But to solve these problems Geographic Information Systems can be used. One of their classical applications are spatial analyses allowing determination of spatial characteristics of objects and relationships between them. In the paper communication acces sibility attribute was analysed in detail. The access to real estate was considered in two categories: movement with own transportation means and using public transport facilities. The first case is more important in rural areas, but also the second case is significant because of weak public communication network. The term movement with own transportation means refers to journey along the road network from the central point, around which concentrates the life of inhabitants, directly to real estate. Such analysis can be conducted independently for each real estate, by calculation of best route to the centre, or determination of zones of specified travel times around the centre and assigning particular real estates to them. Regarding mass transport facilities, one can ride only to the nearest stop, and then has to move on foot. Such partition into two stages significantly complicates the modeling. Examination of conditions of journey to real estate was conducted based on two data models: vector and raster. In the first case functions for geographical networks analyses were used. Two tools were applied: Best Route between two points and Service Area. In case of rasters the Cost Distance function was used, which calculates the least-accumulative-cost distance to the nearest centre for each pixel. Vector analyses were limited to movement along elements of road network, unfortunately also for pedestrian traffic. As for rasters, every variant of journey forced preparation of suitable data. When travel only along roads was considered, pixels outside roads were assigned .no data. value in reclassification process. In case of raster data, there is no need to have information concerning road network, recorded as linear objects. Information coming from land register on parcels under roads or land use type road will be sufficient. Raster data makes it also possible to conduct analyses regarding movement outside the road network, which can be applied in case of pedestrian traffic examination. After suitable preparation of a movement cost raster, it also appeared possible to integrate in one analysis getting to the stop on foot and further travelling using public transportation means. An advantage of raster data is also the possibility of taking into account the centre of elongated shape, for example situated along the main street, which is often the case in countryside. However, resulting raster data sets were finally converted into vector form, containing borders of zones, for easier assignment of real estates to them. Research described in the paper confirmed the usefulness of tools for vector network analyses and raster cost analyses for determination of real estates communication accessibility. The only problem can be, as in many other cases, the availability of suitable data.
PL
W ramach prowadzonych w Polsce od ponad dziesięciu lat prac nad informatyzacją państwowego zasobu geodezyjnego i kartograficznego tworzonych jest coraz więcej baz danych Systemów Informacji Geograficznej (SIG). Od pewnego czasu modernizacji, poprzez migrację danych do postaci elektronicznej, podlega również system ksiąg wieczystych, co z kolei umożliwi jego skorelowanie z innymi bazami. Jednym z nowych elementów występujących w tym systemie jest informacja o katastralnej wartości nieruchomości, która ma stanowić podstawę do postępowania fiskalnego. Można, zatem dostrzec pewną współzależność: informacja o katastralnej wartości nieruchomości jest elementem SIG, a bazy danych SIG mogą być podstawą do określania tej wartości nieruchomości. W referacie zaprezentowano tezę, że narzędzia do przetwarzania danych (funkcje analityczne) mogą posłużyć do wyznaczenia dodatkowych parametrów nieruchomości niezbędnych w procesie wyceny. Porównanie wymaganych i dostępnych danych oraz znajomość funkcjonalności oprogramowania SIG pozwoliło na przedstawienie propozycji zakresu danych, które będzie można przekazywać bezpośrednio lub też wygenerować przy pomocy narzędzi analitycznych programów.
EN
Within the frame of computerizing the national geodetic and cartographic resources realized for over a decade more and more databases making the Geographical Information Systems (GIS) are created. For some time now real property register system is modernized through data migration to an electronic form. Consequently its correlation with other bases is possible. On of the new elements in this system is information on the cadastral value of a property, which is to be the base of fiscal procedure. One may thus note correlation: information on cadastral value of a property is an element of GIS and GIS databases are to be the base to appraise value of this property. The article presents the thesis, that data processing tools (analytical functions) can be used for calculating additional parameters of real estates essential during appraisal. Comparison of required and available data and knowledge of GIS programs functionality let us present a proposed range of data, which can be directly sent or generated with the help of GIS software. Furthermore the article includes the proposition of the real estate appraisal model based on databases in GIS and takes into consideration the possibilities of modern GIS software and the latest achievements in geostatistical science.
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