considered a center with a fixed, third type of activity. A network of avenues is laid out and passes through the 9 centers. The district is initially empty (unbuilt). The particular spatial configuration was automatically imported from a GIS shapefile, so the computation could be readily applied to other cases.

Parameters of the model were set as follows: high influence of activities, $\alpha_4=1$, reflecting the fact that accessibility to home, workplace, and train station are of special importance to the agents of this district; medium influence of density, $\alpha_1=0.7$, because, not far from Paris, housing must reasonably fill the available areas; no influence of road proximity, $\alpha_2=0$, since the initial network is already built and the scale is relatively small; and no influence of network-distance, $\alpha_3=0$, because centers in this problem are abstract entities representing areas.

For every possible distribution of binary activities over the 9 areas, excluding the two uniform cases (all residential or all tertiary), the model was simulated 5 times, producing a total of $(2^9-2)\times 5=2550$ runs. The resulting configurations were examined here via a morphological projection in the $(H,A)$ plane, instead of $(D,I)$ used in the previous sections, as we judged it to be a more 