by André Ourednik, IGUL, University of Lausanne (Faculty of Arts) / Chôros laboratory, EPFL

Presented at ThéoQuant 2005, NEW AREAS IN THEORETICAL AND QUANTITATIVE GEOGRAPHY, University of the Fanche-Comté and Bourgogne, Besançon.

Pubished in Revue Internationale de Géomatique, Dynamiques urbaines et mobilités, vol. 17 no.2/2007, pp. 183-206.

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Contact: courriel.

PROGRAM NOTES:

This model combines Schelling’s spatial segregation model, Epstein&Axtel's SugarScape and a demographc model of dependency between household fertility rates and socio-economical status, in order to illustrate how a spatial segregation pattern can emerge from an initially (socially as well as spatially) homogenous population of households. It also illustrates retroaction of spatial segregation on social polarity as en effect of spatially inhomogeneous taxing mechanisms.

MODEL ELEMENTS:

     

 

• an euclidian space of (x, y) places representing a urban space.
• four districts, Q = {q₂₁,q₁₁, q₂₂, q₁₂}.
• a population of households, P={p₁,p₂,...,p_n} . The initial number of households can be set with the "PCTCOVER" parameter.
• a neigbourhood, V(p_i) ⊂ P, of identical form for every p (always a level-1 Moore neighborhood)
• an age, A(p_i) ⊂ [0, 400].
• a "class threshold", K, user-defined in terms of % of the median wealth. Set with the "SEUIL DE CLASSE PCT" parameter.
• a social class (dependent on household fortune and class threshold):

  C(p) =

  {

  c1⇔F(p) > K c2⇔F(p) < K

• a tolerance threshold, T(c_i), representing the highest level of exposure X(p_i) a class c_i household is ready to tolerate in its neighborhood before leaving.
Set by the "SEUIL DE TOLERANCE 1" and "SEUIL DE TOLERANCE 2" parameters.
• a level of exposure X(p_i), defined as the ratio between the number of neighbors from a different social class and the total number of neighbors. Formally:
  
  

  X(pi ) =

  | { p :( p ∈ V(pi ) ) ∧( C(p) ≠ C(pi ) ) } | | { p : p ∈ V(pi ) } |

• a level of satisfaction H(p_i), dependig on the exposure: H(p_i)≡( X(p_i) < T(c_i) ). Unsatisfied households move.
• taxes, I(p_i), calculated separately for every district as based on district populations |P_Q| and not on the sums of district wealths ΣF(p_i ∈ P_Q) (thus following the idea of an equal consumption of public resources by every individual). This has for effect a fiscal advantage for districts with high concentrations of superior wealths. Formally:
  

  	I(pi)	=	F(pi)	(	Σ{p: Q(p) = Q(pi)}	I( Q(pi ) ) F(p)	)
  		where	I( Q(pi ) ) = I(Ω) | {p:Q(p) = Q(pi )} | | P |
  		and	I(Ω) = 0.1 ΣF(p)

SYSTEM DYNAMICS:

 

RESULTS:

1^st simulation — Without taxes: T(c₁) = 40%, T(c₂) = 70% et K = 110%":

 

2nd simulation — Without taxes, with T(c₁) = 40%, T(c₂) = 70% and K = 110% (ie, same paramters as in the 1st simulation):

 

3rd simulation — Same parameters as in Simulation 2 (T(c₁) = 40%, T(c₂) = 70% et K = 110%), but with activated taxes. The following tax values have been observed: I(q₁₁) = 6.9%, I(q₁₂) = 12.2%, I(q₂₁) = 7.3% , I(q₂₂) = 12.3% 

 

4th simulation — Same parameters as the preceeding figure (3rd simulation). Here, we can observe a concentration of the high-fortune population in only one quarter (q₁₁). The following taxes have been recorded: I(q₁₁) = 5.9%, I(q₁₂) = 11.9%, I(q₂₁) = 11.9%, I(q₂₂) = 11.3% :

 

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