1,720,975 research outputs found
Land use, economic welfare and property values. An analysis of the interdependencies of the real estate market with zonal and socio-economic variables in the municipalities of the Region of Puglia (Italy)
In recent decades there has been a substantial increase in the urbanized area in all developed Countries. Land use choices can have significant impacts in terms of changes in property values. Land uses, in fact, help to define the locational characteristics that - along with the sociological, microeconomic and macroeconomic variables - lead to the formation of the property values. In the present paper an analysis of functional correlations of property prices with the main locational and socio-economic variables, that generally contribute to define the market value of a property, has been developed. Locational characteristics are represented by the surfaces of soil used for the main functions, borrowing the logic of the system of classification of CORINE Land Cover defined by the European Commission. The analysis has been contextualized to the 258 municipalities of the Region of Puglia (Italy), and has been referred to two different moments, i.e. the year 2006 and the year 2011, and to two different market segments, that are residential and retail segments. The functional relationships between property prices and the explanatory variables, estimated through a software that implements a genetic algorithm, are particularly interesting. The quantitative analysis has allowed then to explain the percentage weight of each variable in the formation of property values. The results highlight the need for constant monitoring of changes in land use, not only for environmental reasons, but also to determine the variations in household wealth in terms of value of its real estate asset. Finally, the methodology outlined is a valuable reference for the definition of models aimed at supporting, in a more rational and convenient way, public planning decisions and private investment choices
Un modello a logica fuzzy per valutare gli interventi di recupero urbano
Nei processi decisionali relativi agli interventi di recupero urbano la chiarezza e la trasparenza giocano un ruolo primario. In questi contesti, pur trovando un’ampia applicazione, le tecniche multicriterio non sempre si di-mostrano adeguate nella rappresentazione e misura degli effetti qualitativi degli interventi come pure nel confronto delle alternative per la scelta della soluzione migliore, fasi in cui di solito le regole logiche seguite dal decisore non sono esplicitate. Nel presente lavoro viene proposta una soluzione a questi aspetti attraverso l’impiego di un sistema a logica fuzzy. Utilizzando variabili linguistiche ed espressioni del linguaggio comune sono formalizzate le regole logiche seguite del decisore nel compiere le valutazioni. Ne risulta un processo decisionale chiaro e di immediata comprensione, con ricadute positive sulla legittimazione delle scelte della Pubblica Amministrazione
Comparing Environmental Values and CO2 Values in Geographical Contexts
The earth’s surface, as is known, performs a number of functions, which guarantee the existence of flora, water, fauna, and further factors for the survival of nature. Among such functions, those generated on “the ground” and born from the balance of ecosystems stand out. In the past few years, the analysis of these functions has led to the classification of soils on the basis of the identification of a various “geographies” of “environmental values”. The subject of the paper is the story of the evolution of a recently started research. In this research phase the attempt is the try to compare different classification of soils. The classification refer to identify sub-areas, constructed by evaluating scales of “environment value” and their ecological functions, by evaluating the carbon dioxide (CO2) containment capacity of the same environments. The research of this paper therefore attempts to build a link between the first qualitative, spatial, multidimensional evaluation (the geography of environmental values that reminds us of the overlay) and the second monetary one, based on the containment capacity of CO2 emission compared to the ground. The research was conducted on the basis of this comparison/overlapping, and the paper illustrates the results obtained. The geographic rankings produced by the overlay between the mapping of eco-nomic values (related to the cost of segregated CO2) and ecological-environmental values (in the multidimensional geographic evaluation) should lead to a geographic-economic reapproach, which can alternate with forms of cross-evaluations between the cost-benefit analysis, compared through the use of overlay mapping (which reminds us “Design by Nature” Mc Harg). At the same time, the variety of the surface and its sub-stratum is analyzed and in the field of environmental economics studies. The aim is to identify the differences between various natural and possibly artificial soil surfaces by attributing an economic value to the different classes. The concept of “Geography of Environmental Values” is recalled. The geographical classification is formed by building a “mosaic” of the different surfaces, which differ on a physical, ecological level. These differences, found between those terrestrial factors that influence the dynamics of global warming, have already been reported in research and publications that use “monetization”. The main issue to be analyzed regarding the diversity of surfaces (man-made and natural, protected and to be conserved), is an important topic in the field of geographical research aimed at constructing soil classifications. The identification of territorial differences through the scales of environmental values of the soils themselves can lead to hierarchies which, on the one hand, refer to indicators such as the ecological footprint, or impermeability, or biomass productivity, to which necessarily added the cost of carbon segregation, for the containment of global warming. The paper highlights the intersections between the qualitative classification of soils and the environmental value of the soils themselves, expressed through monetization, in the logic of implementing methods that contribute to improving the development of cost-benefit analyses
Property valuations in times of crisis. Artificial neural networks and evolutionary algorithms in comparison
In the current economic situation, characterized by a high uncertainty in the appraisal of property values, the need of slender models able to operate even on limited data, to automatically capture the causal relations between explan-atory variables and selling prices and to predict property values in the short term, is increasingly widespread. In addition to Artificial Neural Networks (ANN), that satisfy these prerogatives, recently, in some fields of Civil Engineering an hybrid data-driven technique has been implemented, called Evolutionary Polynomial Re-gression (EPR), that combines the effectiveness of Genetic Programming with the advantage of classical numerical regression. In the present paper, ANN meth-ods and the EPR procedure are compared for the construction of estimation mod-els of real estate market values. With reference to a sample of residential apart-ments recently sold in a district of the city of Bari (Italy), two estimation models of market value are implemented, one based on ANN and another using EPR, in order to test the respective performance. The analysis has highlighted the prefera-bility of the EPR model in terms of statistical accuracy, empirical verification of results obtained and reduction of the complexity of the mathematical expression
Sustainable Urban Planning Models for New Smart Cities and Effective Management of Land Take Dynamics
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