英文标题：
《Mining Urban Performance: Scale-Independent Classification of Cities
  Based on Individual Economic Transactions》
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作者：
Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin, Remi Tachet
  des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
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最新提交年份：
2014
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英文摘要：
  Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies requires meaningful urban metrics, which could quantify important urban characteristics including various aspects of an actual human behavior. Since a city size is known to have a major, yet often nonlinear, impact on the human activity, it also becomes important to develop scale-free metrics that capture qualitative city properties, beyond the effects of scale. Recent availability of extensive datasets created by human activity involving digital technologies creates new opportunities in this area. In this paper we propose a novel approach of city scoring and classification based on quantitative scale-free metrics related to economic activity of city residents, as well as domestic and foreign visitors. It is demonstrated on the example of Spain, but the proposed methodology is of a general character. We employ a new source of large-scale ubiquitous data, which consists of anonymized countrywide records of bank card transactions collected by one of the largest Spanish banks. Different aspects of the classification reveal important properties of Spanish cities, which significantly complement the pattern that might be discovered with the official socioeconomic statistics.
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中文摘要：
城市系统的密集发展给城市规划者和决策者带来了一系列挑战，以保持可持续增长。运行有效的城市政策需要有意义的城市指标，这些指标可以量化重要的城市特征，包括实际人类行为的各个方面。由于已知城市规模对人类活动有重大影响，但往往是非线性的，因此开发无标度指标也变得非常重要，该指标不仅能反映规模的影响，还能反映城市的定性属性。最近，涉及数字技术的人类活动创造的大量数据集的可用性在这一领域创造了新的机遇。在本文中，我们提出了一种基于与城市居民以及国内外游客的经济活动相关的定量无标度指标的城市评分和分类新方法。西班牙的例子证明了这一点，但提出的方法具有一般性。我们使用了一个新的大规模无处不在的数据源，其中包括西班牙最大银行之一收集的匿名全国银行卡交易记录。分类的不同方面揭示了西班牙城市的重要属性，这大大补充了官方社会经济统计数据可能发现的模式。
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Computer Science        计算机科学
二级分类：Social and Information Networks        社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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