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City limits in the age of smartphones and urban scaling

机译：城市限制在智能手机和城市缩放的时代

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摘要

Urban planning still lacks appropriate standards to define city boundaries across urban systems. This issue has historically been left to administrative criteria, which can vary significantly across countries and political systems, hindering a comparative analysis across urban systems. However, the wide use of Information and Communication Technologies (ICT) has now allowed the development of new quantitative approaches to unveil how social dynamics relates to urban infrastructure. In fact, ICT provide the potential to portray more accurate descriptions of the urban systems based on the empirical analysis of millions of traces left by urbanites across the city. In this work, we apply computational techniques over a large volume of mobile phone records to define urban boundaries, through the analysis of travel patterns and the trajectory of urban dwellers in conurbations with more than 100,000 inhabitants in Chile. We created and analyzed the network of interconnected places inferred from individual travel trajectories. We then ranked each place using a spectral centrality method. This allowed to identify places of higher concurrency and functional importance for each urban environment. Urban scaling analysis is finally used as a diagnostic tool that allowed to distinguish urban from non-urban spaces. The geographic assessment of our method shows a high congruence with the current and administrative definitions of urban agglomerations in Chile. Our results can potentially be considered as a functional definition of the urban boundary. They also provide a practical implementation of urban scaling and data-driven approaches on cities as complex systems using increasingly larger non-conventional datasets.
机译：城市规划仍然缺乏在城市系统跨越城市界限的适当标准。这个问题历来留给了行政标准，可能在各国和政治系统上显着变化，妨碍了城市系统的比较分析。然而，信息和通信技术（ICT）的广泛使用现已允许开发新的定量方法来推出社会动态如何与城市基础设施有关。事实上，ICT基于全市城市城市留下的数百万痕迹的实证分析，提供了对城市系统的更准确描述的潜力。在这项工作中，我们通过分析旅行模式和城市居民在智利超过100,000名居民的城市居民的城市居民的轨迹中应用了计算技术来定义城市界限。我们创建并分析了从个别旅行轨迹推断的互联地点的网络。然后，我们使用光谱中心法在每个地方排列。这允许识别每个城市环境的并发性和功能重要性的地方。城市缩放分析最终用作允许区分城市从非城市空间的诊断工具。我们的方法的地理评估表明，智利城市集群的当前和行政定义高度一致。我们的结果可能被视为城市边界的功能定义。他们还提供了使用越来越大的非传统数据集的城市缩放和数据驱动的城市的数据驱动方法。

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