Abstract
Troina is a town in the central mountainous area of Sicily, in the Province of Enna, and well represents the general social and economic profile of this territory. Its real estate market is assumed in this study as one of the most significant ones for the description of this profile, because of its characteristics that, especially during the current economic-financial crisis, are particularly evident. The study of this market has been carried out as a basis for a possible redevelopment capital-centered policy, so that both urban/architectural and real estate characteristics have been considered within the proposed pattern. This pattern is based on the decision trees technique, a data mining procedure that allows defining the different submarkets under some specified hypotheses. The different aggregations we have figured out express different ways of assuming the real estate market profile and the directions of any policy that could boost the preservation of the historical urban context instead of promoting the outward urban spreading with further land consumption.
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Valenti, A., Giuffrida, S., Linguanti, F. (2015). Decision Trees Analysis in a Low Tension Real Estate Market: The Case of Troina (Italy) . In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_17
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DOI: https://doi.org/10.1007/978-3-319-21470-2_17
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