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A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France) by Mariem Fekih; Tom Bellemans; Zbigniew Smoreda; Patrick Bonnel; Angelo Furno; Stéphane Galland is a Social Sciences article available to read on EtoBox.

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Spatiotemporal data, and more specifically origin-destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. Traditionally, high-cost and hard-to-update household travel surveys are used to produce largescale origin-destination flow information of individuals' whereabouts. In this paper, we propose a methodology to estimate origin-destination (O-D) matrices based on passivelycollected cellular network signalling data of millions of anonymous mobile phone users in the Rhône-Alpes region, France. Unlike Call Detail Record (CDR) data which rely only on phone usage, signalling data include all network-based records providing higher spatiotemporal granularity. The explored dataset, which consists of time-stamped traces from 2G and 3G cellular networks with users' unique identifier and cell tower locations, is used to first analyse the cell phone activity degree indicators of each user in order to qualify the mobility information involved in these records. These indicators serve as filtering criteria to identify users whose device transactions are sufficiently distributed over the analysed period to allow studying their mobili

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Author

Mariem Fekih; Tom Bellemans; Zbigniew Smoreda; Patrick Bonnel; Angelo Furno; Stéphane Galland

Publisher

Springer US; Springer-Verlag; Kluwer Academic Publishers; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0049-4488)

Published

2020

Language

EN

Field

Social Sciences