Abstract
The paper show the use of a fuzzy weighting system to identify the correspondence of real estate value with main socio-physical characters of the urban tissue. The descriptor of the relationship with the real estate value is represented by a set of indicators of the urban decay of housing property and the analysis is tested on a real application of a case study. The study gives support to the development of new approach for localizing cadastral values at a more detailed scale, compared to the current scale used in the Italian Cadastre. The utilized statistical approach has been based on the SaTScan application, as a techniques of fuzzy clustering, and on a test of stability based on the comparison of a “fuzzy semantic distance” among the average real estate values of urban quarters, with the expected crisp distance among the same quarters.
The contribution is the result of joint reflections by the authors, with the following contributions attributed to S. Montrone (chapters 2), to P. Perchinunno (chapters 3 and 5), and to C. M. Torre (chapter 1 and 4).
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References
Lemmi, A., Pannuzi, N.: Fattori demografici della povertà, Continuità e discontinuità nei processi demografici. L’Italia nella transizione demografica. 4 Rubettino, Arcavacata di Rende, 211–228 (1995)
Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)
Dubois, D., Prade, H.: Fuzzy sets and systems. Academic Press, Boston (1980)
Cheli, B., Lemmi, A.A.: Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes 24(1), 115–134 (1995)
Cerioli, A., Zani, S.: A Fuzzy Approach to the Measurement of Poverty. In: Dugum, C., Zenga, M. (eds.) Income and Wealth Distribution, inequality and Poverty. Springer, Heidelberg (1990)
Perchinunno, P., Rotondo, F., Torre, C.M.: A Multivariate Fuzzy Analysis for the regeneration of urban poverty. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part I. LNCS, vol. 5072, pp. 137–152. Springer, Heidelberg (2008)
Montrone, S., Perchinunno, P., Rotondo, F., Torre, C.M., Di Giuro, A.: Identification of Hot Spots of Social and Housing Difficulty in Urban Areas: Scan Statistic for Housing Market and Urban Planning Policies. In: Murgante, B., Borruso, G., Lapucci, A. (eds.) Geocomputation and Urban Planning. SCI, vol. 176, pp. 57–78. Springer, Heidelberg (2009)
Kuldorff, M.: A spatial scan statistics. Communication in Statistics: Theory and Methods 26, 1481–1496 (1997)
Takahashi, K., Tango, T.: A flexibly shaped spatial scan statistic for detecting clusters. International Journal of Health Geographics 4, 11–13 (2005)
Patil, G.P., Taillie, C.: Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environmental and Ecological Statistics 11, 183–197 (2004)
Aldstadt, J., Getis, A.: Using AMOEBA to create spatial weights matrix and identify spatial clusters. Geographical Analysis 38, 327–343 (2006)
Montrone, S., Bilancia, M., Perchinunno, P., Torre, C.M.: Scan Statistics for the localization of hot spots of urban poverty. In: Conference Proceedings of the Regional Studies Association; Winter Conference; Londra, November 28, pp. 74–77 (2008), ISBN 978-1-1897721-34-6
Kulldorff, M.: SaTScanTM User Guide, (August 26, 2006), http://www.satscan.org/
Chou, K.C., Cai, Y.D.: Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition, Biochem. Biophys. Res. Comm. 305, 407–411 (2003)
Luce, R.D.: Semiorders and a theory of utility discrimination. Econometrica 24, 178–191 (1956)
Roy, B.: Problem and methods with multiple funtions. Mathemathical programming 1, 239–266 (1971)
Munda, G.: Multicriteria evaluation in a Fuzzy Environment. Phisica Verlag, Heidelberg (1995)
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Montrone, S., Perchinunno, P., Torre, C.M. (2010). Analysis of Positional Aspects in the Variation of Real Estate Values in an Italian Southern Metropolitan Area. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_2
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DOI: https://doi.org/10.1007/978-3-642-12156-2_2
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