Assessing Representativeness and Bias in Mobile Phone Locational Data

This study develops scalable methods to assess the completeness and representativeness of mobile phone locational data in terms of their usability in spatiotemporal human movement analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-16
DOI
https://doi.org/10.5281/zenodo.16886327
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Representativeness and Bias in Mobile Phone Locational Data

Zenodo (CERN European Organization for Nuclear Research)
Theoretical and Computational Physics
article

Assessing Representativeness and Bias in Mobile Phone Locational Data

article en

Abstract

This study develops scalable methods to assess the completeness and representativeness of mobile phone locational data in terms of their usability in spatiotemporal human movement analysis.

Zenodo (CERN European Organization for Nuclear Research)
University of Auckland (NZ), University of Canterbury (NZ)
Openalex Percentile: Top 58%
Theoretical and Computational Physics
DOIOpen Access PDFOpenAlex
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Assessing Representativeness and Bias in Mobile Phone Locational Data · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS