The study of hypermobility through the lenses of big data and machine learning

Abstract

Cities are facing many mobility challenges. Between the increasing use of private vehicles and the challenges posed by climate change, many cities are wondering how to reconcile private vehicles and public transport. A great deal of research is being carried out, but in most cases, it focuses on how mobility is achieved but does not examine the reasons why this mobility is necessary. This paper explores the concept of hypermobility, defined as excessive mobility. A case study was carried out in the city of Lyon to identify and characterize hypermobility using a unique GPS data set.