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Urban Growth and Real Estate Income. A Comparison of Analytical Models

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

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Abstract

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.

This paper is to be attributed in equal parts to the four authors.

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Author information

Authors and Affiliations

  1. Department of Political, Social and Communication Sciences, University of Salerno, Via Giovanni Paolo II, 132-84084, Fisciano, SA, Italy

    Massimiliano Bencardino

  2. Department of Architecture, University of Palermo, Palermo, Italy

    Maria Fiorella Granata

  3. Department of Civil Engineering, University of Salerno, Fisciano, SA, Italy

    Antonio Nesticò

  4. Council for Agricultural Research and Economics (CREA-RPS), Rome, Italy

    Luca Salvati

Authors
  1. Massimiliano Bencardino
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  2. Maria Fiorella Granata
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  3. Antonio Nesticò
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  4. Luca Salvati
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Corresponding author

Correspondence to Massimiliano Bencardino .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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Bencardino, M., Granata, M.F., Nesticò, A., Salvati, L. (2016). Urban Growth and Real Estate Income. A Comparison of Analytical Models. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_13

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