Understanding the Socio-demographic Representation of Tamoco Mobile Phone App Data in Glasgow City Region

Sinclair, M. , Maadi, S., Zhao, Q. , Hong, J. and Bailey, N. (2022) Understanding the Socio-demographic Representation of Tamoco Mobile Phone App Data in Glasgow City Region. In: GISRUK 2022, Liverpool, UK, 05-08 Apr 2022, (doi: 10.5281/zenodo.6411683)

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Abstract

This research advances the home location detection of new forms of mobile phone data by using high-resolution land-use data and compares resulting home location estimates with public socio- demographic data. The research allows us to identify potential biases in mobile phone data which may arise through uneven population coverage. Results show that the number of mobile phone users estimated across the Glasgow City Region in 2020 are proportional to the working population across different socio-demographic groups based on the Scottish Index of Multiple Deprivation.

Item Type:Conference Proceedings
Additional Information:The work was made possible by the ESRC’s on-going support for the Urban Big Data Centre (UBDC) [ES/L011921/1 and ES/S007105/1].
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hong, Dr Jinhyun and Zhao, Dr Qunshan and Bailey, Professor Nick and Sinclair, Mr Michael and Maadi, Mr Saeed
Authors: Sinclair, M., Maadi, S., Zhao, Q., Hong, J., and Bailey, N.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Copyright Holders:Copyright © 2022 The Authors
Publisher Policy:Reproduced under a Creative Commons License
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190698Urban Big Data Research CentreNick BaileyEconomic and Social Research Council (ESRC)ES/L011921/1S&PS - Urban Big Data
304042UBDC Centre TransitionNick BaileyEconomic and Social Research Council (ESRC)ES/S007105/1S&PS - Administration