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–destination matrices of a restricted part of the population: regular travellers. Although these studies provide valuable information for policymakers, their scope remains limited to this subpopulation analysis. In the present work, we develop a collective mobility reconstruction method adapted to nonregular travellers. The method relies on the notion of the detour ratio, which makes it robust to the lack of mobile phone data as well as its application to large instances (large and dense telecommunication networks). It is used to conduct a longitudinal analysis of the macroscopic mobility patterns in Santiago de Cali, Colombia, thanks to call detail data shared by communication provider CLARO as part of a research project conducted by Citepa, Paris, the Green City Big Data Project.


    Access

    Download


    Export, share and cite



    Title :

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




    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

    Calabrese, Francesco / Diao, Mi / Di Lorenzo, Giusy et al. | Elsevier | 2012





    Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data

    Anda, Cuauhtemoc / Ordonez Medina, Sergio A. / Axhausen, Kay W. | Elsevier | 2021