Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/271462 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Urban Management [ISSN:] 2226-5856 [Volume:] 11 [Issue:] 2 [Year:] 2022 [Pages:] 237-245
Publisher: 
Elsevier, Amsterdam
Abstract: 
Sustainable Development Goals are intrinsically competing, and their embedding into urban systems furthermore emphasises such compromises. When observed at the scale of systems of cities, such concern is considered as a series of innovations that challenges the adaptive capacity of urban systems. The spatial complexity, the non-optimal nature of such systems, and the multi-objective aspects of their agents, are among the reasons that raise difficulties when trying to adjust local policies through promoting innovation in order to satisfy at least a couple of SDGs simultaneously. As we lack enough empirical evidence, 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.
Subjects: 
Sustainable development goals
Systems of cities
Urban dynamics
Innovation diffusion
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size
826.49 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.