2019
DOI: 10.1016/j.crhy.2019.05.005
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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 … Show more

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Cited by 15 publications
(9 citation statements)
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“…There are plenty of reasons to model cities. According to the short but comprehensive summary of [8], one of the most important reasons is economic research, including housing costs and firm localization. City models are also necessary for numerous engineering principles, e.g.…”
Section: Related Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…There are plenty of reasons to model cities. According to the short but comprehensive summary of [8], one of the most important reasons is economic research, including housing costs and firm localization. City models are also necessary for numerous engineering principles, e.g.…”
Section: Related Literaturementioning
confidence: 99%
“…We checked some publicly available scenarios for SUMO 8 . Unfortunately, Monaco [12] has many individual features.…”
Section: Creating a Proper Scenariomentioning
confidence: 99%
“…In fact, cities comprise "all the difficulties inherent to complex systems: a large variety of agents interacting with each other, a large variety of temporal and spatial scales, and a large number of processes that modify the spatial structure and organization of these systems." [1]. In this sense, a strong aspect is that it has public transport access, by bus, to the city centre.…”
Section: Features Of a Suburban Neighbourhoodmentioning
confidence: 99%
“…More broadly, this work is part of a nascent effort to study urban systems through the lens of statistical physics. This approach has yielded non-traditional and exciting insights into a wide variety of urban phenomena, including urban sprawl, population dynamics within cities, and growth of cities over time (see, e.g., the reviews by Barthelemy [2,3]). Of particular relevance to the work at hand are recent efforts to quantify the "microstructure" of a city at the level of individual buildings.…”
Section: Introductionmentioning
confidence: 99%