2021/11/30 by Juste Raimbault, Raimbault, Juste, Dénise Pumain +1
Decision Sciences · #FOS: Physical sciences #Innovation Diffusion and Forecasting #Physics and Society (physics.soc-ph)
paper · pdf · doi:10.48550/arxiv.2111.15540
openalex publication_date 2021/11/30 · openalex created_date 2022/05/05 · openalex updated_date 2026/07/28
Sustainable Development Goals are intrinsically competing, but their embedding into urban systems furthermore emphasises such compromises, due to spatial complexity, the non-optimal nature of such systems, and multi-objective aspects of their agents, among other reasons. We propose in this paper to use a stylised simulation model for systems of cities, focused on innovation diffusion and population dynamics, to show how trade-offs may operate at such a scale. We proceed in particular to a bi-objective optimisation of emissions and innovation utilities, and show that no single urban optimum exists, but a diversity of regimes forming a compromise between the two objectives.