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Internal Areas Strategies: From Statistical Methods to Planning Policies

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9157))

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Abstract

The “National Strategy for Internal Areas”, made by the Italian Government for the European Union Partnership Agreement 2014-2020, defines the territory of the Italian internal areas as a set of project-areas, local inter-municipal systems each with its own territorial identity defined by social, economic, geographic, demographic and environmental characteristics. In this sense, we can define “internal” those areas significantly distant from the centers of supply of essential services (education, health, and mobility), rich in environmental and cultural resources with highly diversified natural aspects. The objective of the work is to re-elaborate the existing mapping for the identification of the internal areas, made by the Italian Government, especially taking into account the demographic, economic, morphological profiles and essential services supply, through the use of fuzzy logic. Then, trying to deep explain possible planning strategies and policies for these relevant, sometimes abandoned and extremely diffuse territories.

The contribution is the result of joint reflections by the authors, with the following contributions attributed to S. Montrone (chapter 3), to P.Perchinunno (chapter 4), to F. Rotondo (chapter 2 and 5), to F. Selicato (chapter 1). The conclusions are the result of the common considerations of the authors.

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References

  1. Magnaghi, A.: The Urban Village: A Charter for Democracy and Local Self-sustainable Development. Zed Books, London and New York (2005)

    Google Scholar 

  2. Latouche, S.: De-growth, Inequality and Poverty. In: Ventura, P., Calderon, E., Tiboni, M. (eds.) Sustainable development Policies for Minor Deprived Urban Communities, pp. 71–79. McGraw-Hill, Milano (2011)

    Google Scholar 

  3. McCann, P., Rodríguez-Pose, A.: Why and when development policy should be place-based. In: OECD (ed.) OECD Regional Outlook 2011: Building Resilient Regions for Stronger Economies. OECD Publishing, Paris (2011)

    Google Scholar 

  4. Barca, F., McCann, P., Rodríguez-Pose, A.: The case for regional development intervention: place-based versus place-neutral approaches. Journal of Regional Science 52, 134–152 (2012)

    Article  Google Scholar 

  5. Barca, F.: An agenda for a reformed cohesion policy. A place-based approach to meeting European Union challenges and expectations. Independent Report, prepared at the request of Danuta Hübner, Commissioner for Regional Policy (2009). http://www.europarl.europa.eu/meetdocs/2009_2014/documents/regi/dv/barca_report_/barca_report_en.pdf (visited February 26, 2015)

  6. Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  7. Dubois, D., Prade, H.: Fuzzy sets and systems. Academic Press, Boston, New York, London (1980)

    MATH  Google Scholar 

  8. Cheli, B., Lemmi, A.: A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes 24(1), 115–134 (1995)

    Google Scholar 

  9. Cerioli, A., Zani, S.: A fuzzy approach to the measurement of poverty. In: Dagum, C., Zenga, M. (eds.) Income and Wealth Distribution, Inequality and Poverty. Springer Verlag, Berlin (1990)

    Google Scholar 

  10. 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, Studies in Computational Intelligence, vol. 176, pp. 57–78. Springer Verlag, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Perchinunno, P., Rotondo, F., Torre, C.M.: A multivariate fuzzy analysis for the regeneration of urban poverty areas. 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)

    Chapter  Google Scholar 

  12. 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, pp. 74–77 (November 28, 2008)

    Google Scholar 

  13. Magnaghi, A.: The apulian approach to landscape planning. Urbanistica n. 147 July September 2011, distribution by www.planum.net

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Correspondence to Paola Perchinunno .

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Montrone, S., Perchinunno, P., Rotondo, F., Selicato, F. (2015). Internal Areas Strategies: From Statistical Methods to Planning Policies. 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_48

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  • DOI: https://doi.org/10.1007/978-3-319-21470-2_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21469-6

  • Online ISBN: 978-3-319-21470-2

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