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Données hétérogènes de mobilités quotidiennes : protocole de diagnostic qualité et d’apurement à partir de la base MOBI’KIDS

Abstract : This paper aims at proposing a data quality diagnosis and clearance methodology experimented on an individual mobility survey (MOBI'KIDS program). The first section presents the theoretical approach to highlight the issue of a data quality diagnosis applied on heterogeneous data collected from mixed methods (GPS tracks, surveys, observations). Secondly, two typologies of major errors are discussed according to their origin (GPS, algorithm, survey) and their nature (completeness, accuracy, consistency). A processing chain is thirdly defined to improve both internal and external data quality in order to the perspective of a replicable methodology.
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https://halshs.archives-ouvertes.fr/halshs-02327295
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Submitted on : Sunday, September 6, 2020 - 9:39:12 PM
Last modification on : Wednesday, October 14, 2020 - 5:18:01 PM

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Sylvestre Duroudier, Sonia Chardonnel, Boris Mericskay, Isabelle André-Poyaud, Olivier Bedel, et al.. Données hétérogènes de mobilités quotidiennes : protocole de diagnostic qualité et d’apurement à partir de la base MOBI’KIDS. Spatial Analysis and GEOmatics, SAGEO, Nov 2019, Clermont-Ferrand, France. ⟨halshs-02327295⟩

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