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Modeling cities

Abstract : Cities are systems with a large number of constituents and agents interacting with each other and can be considered as emblematic of complex systems. Modeling these systems is a real challenge and triggered the interest of many disciplines such as quantitative geography, spatial economics, geomatics and urbanism, and more recently physics. (Statistical) Physics plays a major role by bringing tools and concepts able to bridge theory and empirical results, and we will illustrate this on some fundamental aspects of cities: the growth of their surface area and their population, their spatial organization, and the spatial distribution of activities. We will present state-of-the-art results and models but also open problems for which we still have a partial understanding and where physics approaches could be particularly helpful. We will end this short review with a discussion about the possibility of constructing a science of cities.
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Contributor : Emmanuelle de Laborderie <>
Submitted on : Tuesday, May 5, 2020 - 5:01:39 PM
Last modification on : Friday, November 6, 2020 - 12:30:16 PM

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Marc Barthelemy. Modeling cities. Comptes Rendus Physique, Centre Mersenne, 2019, 20 (4), pp.293-307. ⟨10.1016/j.crhy.2019.05.005⟩. ⟨cea-02564024⟩



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