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A model of urban evolution based on innovation diffusion

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Academic year: 2021

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Table 1: Summary of model parameters. We first describe synthetic setup parameters which are fixed during our  exper-iments, and then parameters varied during experiments
Figure 1: Values of indicators obtained with the grid model exploration. Each plot give each indicator among diversity D, utility U , innovation I and population hierarchy α P , at fixed parameters α I = 1, σ U = 1 and for the log-normal utility law.
Figure 2: Correlation matrix between indicators, estimated on the full grid experiment

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