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Assessing Representativeness and Bias in Mobile Phone Locational Data

Year: 2025

Type: conference-paper

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16886326

Authors: Zou, Hongyi, Sila-Nowicka, Katarzyna, Campbell, Malcolm, da Silva Brum Bastos, Vanessa

Institutions: University of Canterbury, University of Auckland

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7075907118

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