Location preference is a repeatedly debated subject in urban land economics. By and large, these deliberations are either empirical or theoretical in nature. A sizeable number of the previous studies tackle the question of most favorable location provisional on a certain set of constrictions. Moreover, other studies are dedicated to elucidating the nature (worth) of a real property at a particular location. Nevertheless, the problem of ascertaining the indicators that influence real property price is general to both sets of studies. The current body of knowledge on the impact of transportation infrastructure on real estate prices is diverse in its outcome and result with particular reference to degree or extent of impact as well as bearing, ranging from a negative to an unimportant or a positive effect. On the literature results, multiple spatial lag variables were found to be statistically significant signifying that a number of features or attributes of adjoining residential accommodations have significant influence on the subject residential property's value. Whereas the largest part of earlier hedonic price empirical studies considered only selected factors (such as, positive as well as negative impacts of single transportation mode or means, positive or else negative impacts of multiple transportation modes) into account, the majority of recent empirical studies, however, considered all these key determinants, factors and indicators into consideration for analyzing joint impacts of transportation facility. Through considerable strategy, policy in addition to planning or forecasting implications underlying the association between transit oriented developments and real estate values and the difference between previous studies’ outcomes and results, there is a strong necessity and requirement for further study and analysis to ascertain an advanced, reliable in addition to dependable level of conclusiveness.
The work is focused on a new model of mass appraising including location variable. A location adjustment factor derived from a mathematical iteration was compared to the location adjustment factor based on geostatistical techniques. The work compares three different linear MRA models. The first one uses the location blind linear MRA. The second integrates the linear MRA with a location adjustment factor calculated using spatial interpolation. The second alternative is an application of Location Value Response Surface Models (O'Connor, 1982). It represents the first application of these models for mass appraising in Italy. The third approach introduces the Iterative Location Adjustment Factor. This is a factor which measure the influence of location derived from a mathematical iteration. Empirical results seem to prove the validity of Iterative Location Adjustment Factors in specific context with few observations.
LT
Darbe nagrinėjamas naujas masinio turto vertinimo modelis, apimantis geografinės padėties kintamąjį. Iteraciniu būdu apskaičiuotas geografinės padėties korekcijos veiksnys palygintas su geografinės padėties korekcijos veiksniu, gautu taikant geostatistinius metodus. Darbe lyginami trys skirtingi tiesiniai MRA modeliai. Pirmajame naudojamas geografinės padėties nevertinantis tiesinis MRA. Antrajame tiesinis MRA sujungiamas su geografinės padėties korekcijos veiksniu, apskaičiuotu pasitelkus erdvinę interpoliaciją. Antrojoje alternatyvoje pritaikomi geografinės padėties vertės stebimojo paviršiaus (angl.Location Value Response Surface) modeliai (O'Connor 1982). Italijoje šie modeliai masiniam turto vertinimui naudojami pirmą kartą. Trečiojoje alternatyvoje taikomas iteracinis geografinės padėties korekcijos veiksnys. Jis įvertina geografinės padėties įtaką, nustatytą iteraciniu būdu. Empiriniai rezultatai, regis, įrodo iteracinių geografinės padėties korekcijos veiksnių pagrįstumą konkrečiame kontekste, kai stebėjimų yra mažai.
Współcześnie decyzje dotyczące miejsca sprzedaży/świadczenia oraz zakupu usług koncentrują się głównie na wyborze pomiędzy lokalizacją tradycyjną i/lub wirtualną. Wybór lokalizacji różnicuje sposób dokonywania zakupu usług w stacjonarnych placówkach, jak i skalę wirtualizacji zachowań ich nabywców. W artykule zaprezentowano zagadnienie lokalizacji jako czynnika determinującego wybór usług. Artykuł opiera się na wynikach badań bezpośrednich przeprowadzonych przez Katedrę Rynku i Konsumpcji Uniwersytetu Ekonomicznego w Katowicach.
EN
Currently, decisions on the point of sale and purchase of services are mainly focused on choosing between the traditional and/or virtual location. The choice of location is differentiated by the way of purchasing services in stationary facilities, as well as the scale of virtualization of buyers’ behavior of services. The location as the determinant of services’ location was presented in the article. Article was based on the results of the direct research conducted by the Department of Market and Consumption of the EU in Katowice.
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