Identification of Aggregate Urban Mobility Patterns of Nonregular Travellers from Mobile Phone Data

Identification of Aggregate Urban Mobility Patterns of Nonregular Travellers from Mobile Phone Data

Over the last two decades, mobile phone data have appeared to be a promising data source for mobility analysis. The structure, abundance, and accessibility of call detail records (CDRs) make them particularly suitable for such use. However, their exploitation is often limited to estimating origin–de...

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Bibliographic Details
Main Authors: Manon Seppecher, Ludovic Leclercq, Angelo Furno, Thamara Vieira da Rocha, Jean-Marc André, Jérôme Boutang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Future Transportation
Subjects:
mobile phone data
call detail records
mobility patterns
macroscopic mobility reconstruction
collective mobility reconstruction
total travelled distances
Online Access:https://www.mdpi.com/2673-7590/3/1/15

Internet

https://www.mdpi.com/2673-7590/3/1/15

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