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Www.urem.eu/aula1.html. ECONOMICAL SOCIAL VALUE OF THE URBAN TRANSFORMATIONS Arguments of this lesson Luca D’Acci - lesson 14/10/2010 FEC UNICAMP 1.Survey.

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Presentation on theme: "Www.urem.eu/aula1.html. ECONOMICAL SOCIAL VALUE OF THE URBAN TRANSFORMATIONS Arguments of this lesson Luca D’Acci - lesson 14/10/2010 FEC UNICAMP 1.Survey."— Presentation transcript:

1 www.urem.eu/aula1.html

2 ECONOMICAL SOCIAL VALUE OF THE URBAN TRANSFORMATIONS Arguments of this lesson Luca D’Acci - lesson 14/10/2010 FEC UNICAMP 1.Survey on 1300 habitant about the urban factors determining their happiness in the city life. 2.How the urban poles and the beauty places are distributed in the urban space SOCIAL VALUE 1.Positional value: the economic values of the urban areas given from their own characteristics. 2.Urban transformations and positional value. 3.Relation between the characteristics of the urban area and its real estate value. ECONOMIC VALUE

3 ECONOMICAL SOCIAL VALUE OF THE URBAN TRANSFORMATIONS real estate market investment attraction ECONOMIC VALUESOCIAL VALUE citizens’ happiness Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 1/28

4 Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 2/28 ECONOMIC VALUE POSITIONAL VALUE urban transformations can improve the quality of the city’s areas real estate market investment attraction

5 the POSITIONAL VALUE (P) depends on several factors: ECONOMIC VALUE GARDENS URBAN QUALITY ACCESSIBILITY SOCIAL CONTEST POLLUTION SHOPS SOCIAL SERVICE … Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 3/28 we call “x” these factors Then for example the factor “garden” is x 1, the factor “urban quality” is x 2, etc. Each factor can more or less influences the Positional Value of the area. We call this influence

6 the POSITIONAL VALUE (P) depends on several factors: ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 4/28 gardens urban quality

7 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 5/28 gardens P x C

8 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 6/28 P x C how calculate ? Regression analysis

9 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 7/28 X 1 = … X 2 = … X 3 = … … X 1 = … X 2 = … X 3 = … … X 1 = … X 2 = … X 3 = … … X 1 = … X 2 = … X 3 = … … X 1 = … X 2 = … X 3 = … …

10 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 8/28 $/m 2

11 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 9/28 ACCESSIBILITY POLLUTION SHOPS GARDENS URBAN QUALITY SOCIAL CONTEXTSOCIAL SERVICESPARKING

12 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 10/28

13 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 11/28

14 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 12/28 some statistical analysis: correlations and residuals analysis

15 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 13/28 factors influencing the positional value of urban areas (by mutliple regression analysis on Turin city 2007)

16 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 14/28 RELATIONS BETWEEN REAL ESTATE VALUE AND URBAN TRANSFORMATIONS (Turin: 1999/2000)

17 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 15/28 Increase of the values and alterations of the positional factor Quantification of the improving contribution of the urban interventions on the 8 indicators of the positional factor

18 ECONOMIC VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 16/28

19 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 17/28 The citizens’ happiness factors

20 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 18/28 accessibility ? social context ? shops ? parking ? pollution ? urban quality ? gardens ? social services ? Statistical behaviour of the population

21 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 19/28

22 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 20/28

23 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 21/28

24 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 22/28

25 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 23/28 COMPARISON AMONG THE ECONOMETRIC ANALISYS, SERIES TIME AND CUSTOMER PREFERENCES

26 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 24/28 Urban life’s pleasantness nice gardens and parks, pedestrian areas, cultural amenities, agreeable places and streets, pleasant shopping areas, and so forth The public-goods analysed are amenity-beauties improving the urban quality life of the ordinary citizen

27 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 25/28 Example of quantification of the urban attractions (public goods) Turin - Italy

28 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 26/28 Before the biggest urban transformations After the biggest urban transformations

29 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 27/28 Before the biggest urban transformations After the biggest urban transformations

30 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 28/28

31 SOCIAL VALUE Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - A century ago the 10% of the world's population lived in cities; today more than 50%; according to the United Nations, this number is set to rise to 75% by 2050. This shows how important is to well planning cities in which everyone of us, in average, lives the most part of his own life.

32 REFERENCES Luca D’Acci - lesson 14/10/2010 FEC UNICAMP - 2008 D'Acci L., Grown, urban trasformation, real estate value: econometric cellular automata for the simulation of positional value, in Lecture Notes in Computer Science, LNCS 5072, Springer-Verlag, Berlin. 2009 D’Acci L., Spatial Distribution of Social Benefit Given by Urban Attractions: a Test of UrAD Model, in Lecture Notes in Computer Science LNCS 5592, pp. 237–252, Springer-Verlag Berlin Heidelberg. 2009 D’Acci L., A mathematical aid for efficient distribution of social benefit in urban planning, in Scarlatti F., Rabino G., (editors), Advances in Models and Methods for Planning, Pitagora, Bologna. 2010 D'Acci L., A spatial multicriteria decision analysis to plan new urban poles in metropolies, INPUT0 2010, Fifth National Conference in Computer Science, Urban and Territorial Planning.

33 www.urem.eu/aula1.html


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