Recent advances in urban system science: Models and data.
Recent advances in urban system science: Models and data.
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DOI：
10.1371/journal.pone.0272863
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
城市的特点是人口密集，不同背景的人之间有很高的互动潜力。它们的出现与几千年前的新石器时代革命平行。在集聚经济、创新、社会和文化进步方面带来的优势使它们成为近代人类历史上的一个主要里程碑。从科学的角度研究城市系统有许多不同的方面，人们可以集中在人口统计学和人口演变、流动性、经济产出、土地利用和城市规划、住房可获得性和房地产市场、能源和水消耗、废物处理、健康、教育、少数族裔的融合等方面。在过去的十年中，通信和信息技术的引入极大地促进了收集关于这些问题和其他问题的数据集，使对城市科学采取更定量的方法成为可能。所有这些主题在许多文献中都有涉及，我们不打算在这里进行系统的回顾。相反，我们将只提供上述几个方面的简要介绍，这些方面可以作为《城市作为复杂系统》系列的介绍。这种不系统的观点将导致我们将许多相关文件留在外面，我们必须为此道歉。
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.
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影响因子：
4.6
作者：
Barthelemy, Marc;Bordin, Patricia;Berestycki, Henri;Gribaudi, Maurizio
通讯作者：
Gribaudi, Maurizio
影响因子：
3.7
作者：
Alhazzani M;Alhasoun F;Alawwad Z;González MC
通讯作者：
González MC
影响因子：
64.8
作者：
Alessandretti, Laura;Aslak, Ulf;Lehmann, Sune
通讯作者：
Lehmann, Sune
影响因子：
3.5
作者：
Arcaute E;Molinero C;Hatna E;Murcio R;Vargas-Ruiz C;Masucci AP;Batty M
通讯作者：
Batty M
影响因子：
3.7
作者：
Bergs R
通讯作者：
Bergs R