Skip to main content
SpringerLink
Log in

Spatial Distribution of Social Benefit Given by Urban Attractions: A Test of UrAD Model

  • Conference paper
Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5592))

Included in the following conference series:

Abstract

Important urban transformations can strongly alter the image of a city from different points of view, concerning aesthetical, functional, social and economic aspects. In this paper the model UrAD is tested and used for showing and evaluating the impact of the transformations in the city of Turin during the last years. The city appears a perfect opportunity for this kind of analysis because of its recent numerous and deep transformations, mainly on the occasion of the Olympic Games 2006. Then, we studied the consequent impact analysing the spatial distribution of the social benefit given by amenities and beauties improving the urban life quality of an ordinary citizen. The testing of the model consists of a comparison between the social benefit simulated by UrAD and the real estate value observed, both before and after the biggest urban transformations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albrechts, L.: Strategic (spatial) planning re-examined. Environment and Planning B: Planning and Design 31(5), 743–758 (2004)

    Article  Google Scholar 

  2. Beguin, H.: Mèthodes d’analyse gèographique quantitative, Litec, Paris (1979)

    Google Scholar 

  3. Briassoulis, H.: Land-use policy and planning, theorizing, and modeling: lost in translation, found in complexity? Environment and Planning B: Planning and Design 35(1), 16–33 (2008)

    Article  Google Scholar 

  4. Cadwallader, M.: Analytical Urban Geography. Prentice-Hall, New Jersey (1985)

    Google Scholar 

  5. LaFountain, C.: Endogenous city formation with production externalities: existence of equilibrium. Journal of Public Economic Theory 9(6), 959–978 (2007)

    Article  Google Scholar 

  6. Cox, K.: Man, Location and Behaviour: an Introduction to Human Geography. Wiley, New York (1972)

    Google Scholar 

  7. D’Acci, L.: Didactical introduction to complex and chaotic dynamic of the systems through logical and mathematical rules (in progress, 2009)

    Google Scholar 

  8. D’Acci, L., Rosasco, P.: Urban transformations, Social Benefit, Real estate value: a comparison between Turin and Genova (in progress, 2009)

    Google Scholar 

  9. D’Acci, L., Ingaramo, L., Sabatino, S.: Emerging Trends in the Italian Housing Market. In: ERES Conference 2009, the 2009 annual European Real Estate Society conference, Stockholm (in progress, 2009)

    Google Scholar 

  10. D’Acci, L.: A mathematical aid for efficient distribution of social benefit in urban planning. In: INPUT08, National conference in Computer Science, Urban and Territorial planning, 3-6/3/2009, Lecco, CO (in press, 2009)

    Google Scholar 

  11. D’Acci, L.: Growths, urban transformations, real estate positional value: Econometric cellular automata for the simulation of the positional value: An application for turin. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part I. LNCS, vol. 5072, pp. 96–110. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  12. D’Acci, L., Zorzi, F.: Un modello per la simulazione dei valori immobiliari. In: Sistemi economici locali e mercati immobiliari, E. Mollica (a cura di), Gangemi (2007)

    Google Scholar 

  13. D’Acci, L.: Formazione e simulazione dei valori immobiliari, PhD thesis, Politecnico di Torino, tutor Zorzi F (2007a)

    Google Scholar 

  14. D’Acci, L.: SiVa: Econometric Cellular Automata for a simulation of real estate values. In: ERES 14th Annual European Real Estate Society Conference, June 27, 2007, London (2007b)

    Google Scholar 

  15. Dansero, E., Dematteis, G., Rossignolo, C.: Sistemi locali e reti globali. Dispense di geogragia politica ed economica, Dipartimento Interateneo Territorio, Torino (a cura di) (2000)

    Google Scholar 

  16. Forte, C.: Elementi di estimo urbano. Etas Kompass, Milano (1968)

    Google Scholar 

  17. Geoffrey, C., Peeters, D., Cavailhès, J., Rounsevell, M.: Spatial configurations in a periurban city. A cellular automata-based microeconomic model. Regional Science and Urban Economics 37(5), 542–567 (2007)

    Article  Google Scholar 

  18. Glaeser, E.L., Kolko, J., Saiz, A.: Consumer City. Journal of Economic Geography 1(1), 24–51 (2001)

    Article  Google Scholar 

  19. Grillenzoni, M., Grittani, G.: Estimo: teoria, procedure di valutazione, Calderini, Bologna (1994)

    Google Scholar 

  20. Holden, M.: Urban indicators and the integrative ideals of cities. CITIES – The international journal of urban policy and planning 23(3), 170–183 (2008)

    Google Scholar 

  21. Kamp, I.V., Leidelmeijer, K., Marsman, G., Hollander, A.D.: Urban environmental quality and human well being– Towards a conceptual framework and demarcation of concepts; a literature study. Landscape and Urban Planning 65, 5–18 (2003)

    Article  Google Scholar 

  22. Mossello, M.T.: Geografia economica. il Mulino, Bologna (1990)

    Google Scholar 

  23. Naldi, G., Pareschi, L., Russo, G.: Introduzione al calcolo scientifico. Metodi e applicazioni con Matlab. McGraw-Hill, Milano (2001)

    Google Scholar 

  24. Palm, W.J.: Matlab 7 per l’ingegneria e le scienze. McGraw-Hill, Milano (2005)

    Google Scholar 

  25. Cho, S.-H., Poudyal, N.C., Roberts, R.K.: Spatial analysis of the amenity value of green open space. Ecological Economics 66(2-3), 403–416 (2008)

    Article  Google Scholar 

  26. Smith, D.M.: Patterns in Human Geography. Penguin, Harmondsworth (1977)

    Google Scholar 

  27. Vagaggini, V.: Le nuove geografie, Paperbacks università, Genova (1982)

    Google Scholar 

  28. van Vliet, J., White, R., Dragicevic, S.: Modeling urban growth using a variable grid cellular automaton. Computers, Environment and Urban Systems 33(1), 35–43 (2009)

    Article  Google Scholar 

  29. Xien, Y., Brown, D.G.: Simulation in spatial analysis and modeling. Computers, Environment and Urban Systems 31(3), 229–231 (2007)

    Article  Google Scholar 

  30. Winer, N.: Invention. The Care and Feeling of Ideas, Massauchusetts Institute of Technology (1993); trad. it. L’invenzione. Come nascono e si sviluppono le idee. Boringhieri, Torino (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Housing and City, SiTI, Post-doctorate, Politecnico di Torino, Italy

    Luca D’Acci

Authors
  1. Luca D’Acci
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Monash University, 3800, Clayton, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

D’Acci, L. (2009). Spatial Distribution of Social Benefit Given by Urban Attractions: A Test of UrAD Model. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02454-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02453-5

  • Online ISBN: 978-3-642-02454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation