Literature DB >> 35976953

Recent advances in urban system science: Models and data.

Elsa Arcaute1, José J Ramasco2.   

Abstract

Cities are characterized by the presence of a dense population with a high potential for interactions between individuals of diverse backgrounds. They appear in parallel to the Neolithic revolution a few millennia ago. The advantages brought in terms of agglomeration for economy, innovation, social and cultural advancements have kept them as a major landmark in recent human history. There are many different aspects to study in urban systems from a scientific point of view, one can concentrate in demography and population evolution, mobility, economic output, land use and urban planning, home accessibility and real estate market, energy and water consumption, waste processing, health, education, integration of minorities, just to name a few. In the last decade, the introduction of communication and information technologies have enormously facilitated the collection of datasets on these and other questions, making possible a more quantitative approach to city science. All these topics have been addressed in many works in the literature, and we do not intend to offer here a systematic review. Instead, we will only provide a brief taste of some of these above-mentioned aspects, which could serve as an introduction to the collection 'Cities as Complex Systems'. Such a non-systematic view will lead us to leave outside many relevant papers, and for this we must apologise.

Entities:  

Mesh:

Year:  2022        PMID: 35976953      PMCID: PMC9384974          DOI: 10.1371/journal.pone.0272863

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  71 in total

1.  A universal model for mobility and migration patterns.

Authors:  Filippo Simini; Marta C González; Amos Maritan; Albert-László Barabási
Journal:  Nature       Date:  2012-02-26       Impact factor: 49.962

2.  System of mobile agents to model social networks.

Authors:  Marta C González; Pedro G Lind; Hans J Herrmann
Journal:  Phys Rev Lett       Date:  2006-03-03       Impact factor: 9.161

3.  Boltzmann, Lotka and Volterra and spatial structural evolution: an integrated methodology for some dynamical systems.

Authors:  Alan Wilson
Journal:  J R Soc Interface       Date:  2008-08-06       Impact factor: 4.118

4.  Testing Statistical Laws in Complex Systems.

Authors:  Martin Gerlach; Eduardo G Altmann
Journal:  Phys Rev Lett       Date:  2019-04-26       Impact factor: 9.161

5.  Modelling the relation between income and commuting distance.

Authors:  Giulia Carra; Ismir Mulalic; Mogens Fosgerau; Marc Barthelemy
Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

6.  Entangling mobility and interactions in social media.

Authors:  Przemyslaw A Grabowicz; José J Ramasco; Bruno Gonçalves; Víctor M Eguíluz
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

7.  Crowdsourcing the Robin Hood effect in cities.

Authors:  Thomas Louail; Maxime Lenormand; Juan Murillo Arias; José J Ramasco
Journal:  Appl Netw Sci       Date:  2017-06-08

8.  Multifractal scaling analyses of urban street network structure: The cases of twelve megacities in China.

Authors:  Yuqing Long; Yanguang Chen
Journal:  PLoS One       Date:  2021-02-18       Impact factor: 3.240

9.  Spatial interactions in urban scaling laws.

Authors:  Eduardo G Altmann
Journal:  PLoS One       Date:  2020-12-07       Impact factor: 3.240

10.  Mobility patterns are associated with experienced income segregation in large US cities.

Authors:  Esteban Moro; Dan Calacci; Xiaowen Dong; Alex Pentland
Journal:  Nat Commun       Date:  2021-07-30       Impact factor: 14.919

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