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Mining mobile phone data to detect urban areas

Lookup NU author(s): Maarten Vanhoof

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The production of Urban Areas zonings at national level is characterized by long delays between consecutive updates. As mobile phone data has recently shown promising results for automated land use classification, we investigate the possibility to reproduce the French Urban Area Zoning (ZAUER). We exploit a dataset of hourly mobile phone activity profiles at cell-tower level, discuss methodological challenges, and find Urban Centers to be most correctly classified. Our findings frame the possibilities and limits for using mobile phone data to automatically, and continuously produce urban zonings


Publication metadata

Author(s): Vanhoof M, Combes S, de Bellefon M-P

Editor(s): Petrucci A; Verde R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: SIS 2017 Statistics and Data Science: new challenges, new generations

Year of Conference: 2017

Pages: 1005-1012

Online publication date: 03/07/2017

Acceptance date: 10/05/2017

Date deposited: 29/09/2017

ISSN: 9788864535210

Publisher: Firenze University Press

URL: http://www.fupress.com/catalogo/sis-2017--statistics-and-data-science-new-challenges-new-generations/3407

Library holdings: Search Newcastle University Library for this item

Series Title: Proceedings of the Conference of the Italian Statistical Society

ISBN: 9788864535210


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