An evolutionary theory for the spatial dynamics of urban systems worldwide

Juste Raimbault (), Denise Pumain () and Eric Denis ()
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Juste Raimbault: CASA - Centre for Advanced Spatial Analysis - UCL - University College of London [London], ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France - ENS Cachan - École normale supérieure - Cachan - UP1 - Université Paris 1 Panthéon-Sorbonne - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Institut Curie [Paris] - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique, GC (UMR_8504) - Géographie-cités - UP1 - Université Paris 1 Panthéon-Sorbonne - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique
Denise Pumain: GC (UMR_8504) - Géographie-cités - UP1 - Université Paris 1 Panthéon-Sorbonne - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique
Eric Denis: GC (UMR_8504) - Géographie-cités - UP1 - Université Paris 1 Panthéon-Sorbonne - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique

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Abstract: Analyzing the spatial dynamics of complex urban systems clearly deserves an evolutionary frame. Following the methodology and results already obtained in the GeoDiverCity project (Pumain et al., 2015; Cura et al., 2017; Pumain and Reuillon, 2017), including USA, Europe and BRICS countries, we complete them with new datasets at world scale and other types of models. These models conceived for explaining city size and urban growth distributions establish a correspondence between urban trajectories when observed at the level of cities and systems of cities. We test the validity and representativeness of several models of complex urban systems and their variations across regions of the world at different spatial scales (Raimbault, 2018a,b). The originality of the approach is in considering spatial interaction and evolutionary path dependence as major features in the general behavior of urban entities. We investigate models of urban growth at different scales and on different urban systems: a model of urban morphogenesis at the metropolitan scale, which we calibrate dynamically, using the diachronic population grid on largest urban clusters, and interaction models for systems of cities at the macroscopic scale on main systems of cities across the world. We also suggest research directions towards the coupling of these models into a multi-scale model of urban growth. Complex systems' dynamics is in principle unpredictable, but contextualizing it regarding demographic, income and resource components may help in minimizing the forecasting errors. We use among others a new unique source correlating population and build-up footprint at world scale: the Global Human Settlement built-up areas (GHS-BU). Already explored statistically for comparing urban sprawl trends in the countries of the world by Denis (2019), the dataset is available at different dates between 1975 and 2015. In 2015 the source delineates precisely some 13 000 urban agglomerations between 50000 and tens million inhabitants in the world. These data help in further empirical testing to the hypotheses of the evolutionary theory of urban systems and partially revising them.

Keywords: Urban Systems; Dynamic models; PARIS team; COMACT; Evolutionary Theory (search for similar items in EconPapers)
Date: 2019-09-05
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Published in European Colloquium on Theoretical and Quantitative Geography, Sep 2019, Mondorf, Luxembourg

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02284897

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