Sidiropoulos & Stergiou - input2012


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Georgios Sidiropoulos and Margarita Stergiou on "Gentrification & Spatial Analysis Tools: The Perspective of Implementation in the City of Athens"

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Sidiropoulos & Stergiou - input2012

  1. 1. LOGO Seventh International Conference on Informatics and Urban and Regional Planning Gentrification & Spatial Analysis Tools: The Perspective of Implementation in the City of Athens Sidiropoulos G., Stergiou M. Friday, May 11th
  2. 2. Contents Introduction The Theoretical Framework Methodology Discussion Conclusion 2
  3. 3. IntroductionGentrification refers to the displacement of lowerincome population by the relocation of the middleclass at renovated or renewed properties of centralcity neighborhoods .New geographies are producedWhich models approach these areas?The degree of Implementation? 3
  4. 4. The Theoretical Framework Urban Renewal Gentrification Consumer’s Key Consumerism, Access, Increase of single preferences Reasons parent households, the change in cultural Values & standards... Middle class, highly educated, without The kids, good salary, access.Characteristics Empty buildings, with low rents & significant cultural/historical value. (-) shifting, homelessness, abandonment, Rent Gap Change of the The effects Devaluation, loss of population.. Economic (+) social involvement, relieve poverty, Theory Base Grants, property taxes, preservation.. 4
  5. 5. MethodologyGentrification Model Urban ModelsRelations VisualizationIndicators* Case studyMethods& Tools Theoretical Background 5
  6. 6. Spatial Analysis Tools The best Spatial analysis tools for Gentrification GIS CA1. Visualization & 1. Visualization & Analysis, Re- Analysis Visualization 2. Complex Urban2. Degree of Phenomena Interaction 3. Dynamic3. Flexible 4. Only for theory of according to the Rent Gap data 5. Uncertainty of the4. Precision in the results results 6. Micro-scale data 6
  7. 7. Spatial Analysis Tools ΙCTs Cellular GISAutomata Indicator of Gentrification ! (Source: Mantelas, p.8) 7
  8. 8. Cellular Automata Typical diagram of cellular automata in a period of 60 years(Source: O’ Sullivan., p.269)Recording of arandom pattern inunit time. (Source: Batty., p.18) 8
  9. 9. The Specificity of Athens Small Point scale Social Housing crisis stock Methods Data & Tools 9
  10. 10. 10
  11. 11. 11
  12. 12. Gazi Area Gazi Area Gazi AreaMetaksourgeio Metaksourgeio Metaksourgeio 12
  13. 13. Notes • Population // N. Buildings/housing block • Empty buildings… • Low population density • Low housing density • Close to city center • Close to historical areas • Access public/private transport • High Objective Values wherever there are Banks • Access • Close to city center • Appearance of the phenomenon only in a few neighborhoods 13
  14. 14. Discussion 1 2 3-Standardization of -Detailed data -Dynamic model,the concept of collection -Detection process &Gentrification and -Record changes control.testing the process -Explanation of the -Further research inof implementation. diverse aspects of Greek-Specification of Gentrification in neighborhoods.key parameters, Athens.assess &evaluation. 14
  15. 15. Conclusions There is no standard strategy for the1 implementation Specificity of Athens as far as software,2 data and the proper model3 Not the same degree in Implementation4 There are prospects 15
  16. 16. ReferencesAlexandri G. (2011). The Breeder Feeder: Tracing Gentrification in Athens City Center, The struggle tobelong, Dealing with diversity in 21sr century urban settings. Amsterdam.Batty, M. (2007). Cities and Complexity. Massachusetts: The MIT Press.Clarke K. , G. L. (1998). loose-coupling a cellular automata model and GIS: long term urban growthprediction for San Francisco and Washington/Baltimore. Geographical Information Science, 12(7), 699-714.Cliff A., H. P. (1996). The Impact of GIS on epidemiological mapping and modelling. In B. M. Lougley P.(Ed.), Spatial Analysis: Modelling in a GIS Environment. Canada: John Wiley & Sous.INC.Diappi, L., & Bolchi, P. (2008). Smiths rent gap theory and local real estate dynamics: A multi-agentmodel. Computers, Environment and Urban Systems, 32(1), 6-18.Dritsa A. (2009), Areas with Urban Renewal -phenomena of Gentrification- the example of Metaksourgio,National Technical University of Athens.OSullivan, D. (2002). Toward micro-scale spatial modeling of gentrification. Journal of GeographicalSystems, 4(3), 251-274.Roy G., F. S., G. Zaitseva (2000). Spatial Models and GIS. In F. S. Wegenen M. (Ed.), Spatial Models and GIS(pp. 185-201). London: Taylor and Francis.Samat, N. (2007). Integrating GIS and Cellular Automata Spatial Model in evaluating urban growth:prospects and challenges. Jurnal Alam Bina, 9(1), 79-93.Soheil Sabri, A. Y. (2008a). Exploring urban modelling methodologies to better figure out urbangentrification dynamics in developng countries. Jurnal Alam Bina, 11(2), 29-43.Sidiropoulos G. & Stergiou M. (2010). Gentrification and Spatial Analysis Tools (CA/GIS), HellasGI, 6thConference, National Technical University of Athens, Athens.Takala, A. (2006). Evaluating urban regeneration - How to measure relevance of a new urban structure? ,University of Tampere, Tampere, Finland.Takeyama, M., & Couclelis, H. (1997). Map dynamics: integrating cellular automata and GIS through Geo-Algebra. International Journal of Geographical Information Science, 11, 73-91. 16
  17. 17. LOGO Thank you!“Designing a dream city is easy; rebuilding a living one takes imagination”