VALORI FONDIARI, REDDITI E POPOLAZIONE RESIDENTE. INDAGINE SUI LIVELLI DI CORRELAZIONE TEMPORALE

The paper establishes the measure of the diachronic correlation between market values of the land and variables able to affect the mechanisms of price formation. Geographic Information Systems (GIS) are used to process cartographic representations useful for visualizing the spatial distribution of data, which pertain to the vast area of the Province of Salerno (Italy). The analytical path starts from the collection of information and construction of the datasets, passes through the selection of parameters and for the processing of the maps and can establish quantitatively the levels of correlation between market values and territorial variables. Thus, it provides useful elements for future research, with the aim to generalize the functional relationships between agricultural land values and socio-economic variables through the writing of a value function. DOI: http://dx.medra.org/10.19254/LaborEst.16.0

Urban growth and real estate income. A comparison of analytical models

Urban growth processes are notoriously complex, depending on vastly different demographic, socio-cultural and economic factors. The analysis is even more complex in the metropolitan areas, since they are the result of ancient agglomeration processes in a phase of intensive development of settlement and, more recently, of the formation of urban polycentrism. Investigation requires collection, analysis and processing of useful information at homogeneous territorial units, based on already consolidated models or through new validating protocols. The present paper analyzes urban growth based on a micro-scale approach, identifying homogeneous local districts for localization features that can affect real estate market value for residential use. These features include the location of the housing unit compared with the city center, the level of infrastructure, the presence of community facilities and shops, but also the external environment quality in terms of availability of green public and air pollution degree. Geographic Information System applications are used to process the available dataset to identify, at first, the demographic evolution of Naples as a functional urban region according to the life cycle model proposed by Van den Berg and, then, the real estate dynamics of the metropolitan in the light of income flows which each asset is capable of producing. Understanding the spatio-temporal evolution of real estate property values can be useful to explain the intimate mechanism of urban growth at the metropolitan scale