Modelling time‐varying mobility flows using function‐on‐function regression: Analysis of a bike sharing system in the city of Milan. Issue 1 (8th November 2020)

• Record Type: Journal Article
• Authors: Torti, Agostino; Pini, Alessia; Vantini, Simone
• Is Part Of: Journal of the Royal Statistical Society. Volume 70:Issue 1(2021)
• Page Start: 226
• Page End: 247
• Publication Date: 2020-11-08
• Subjects: bike sharing -- functional data -- functional regression -- mobility -- network -- time evolving graph; Statistics -- Periodicals; 519.5
• DOI: 10.1111/rssc.12456
• Languages: English
• ISSNs: 0035-9254

Abstract

Abstract: 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.