In today's world, bike sharing systems are becoming increasingly common in all main cities around the world. To understand the spatiotemporal patterns of how people move by bike through the city of Milan, we apply functional data analysis to study the flows of a bike sharing mobility network. We introduce a complete pipeline to properly analyse and model functional data through a concurrent functional‐on‐functional model taking into account the effects of weather conditions and calendar on the bike flows. In the end, we develop an interactive interface to explore the results of the analyses.

中文翻译：

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使用函数对函数回归建模随时间变化的交通流：米兰市的自行车共享系统分析

在当今世界，自行车共享系统在全球所有主要城市中变得越来越普遍。为了了解人们如何骑自行车穿越米兰市的时空模式，我们应用功能数据分析来研究共享自行车出行网络的流量。我们引入了完整的管道，以通过并发的功能对功能模型来适当地分析和建模功能数据，并考虑了天气条件和日历对自行车流量的影响。最后，我们开发了一个交互式界面来探索分析结果。