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Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy

Vanhoof, M; Schoors, W; Van Rompaey, A; Ploetz, T; Smoreda, Z; (2018) Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy. Journal of Urban Technology , 25 (2) pp. 27-61. 10.1080/10630732.2018.1450593. Green open access

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Abstract

In this paper, we propose a correction of the Mobility Entropy indicator (ME) used to describe the diversity of individual movement patterns as can be captured by data from mobile phones. We argue that a correction is necessary because standard calculations of ME show a structural dependency on the geographical density of observation points, rendering results biased and comparisons between regions incorrect. As a solution, we propose the Corrected Mobility Entropy (CME). We apply our solution to a French mobile phone dataset with ∼18.5 million users. Results show CME to be less correlated to cell-tower density (r = –0.17 instead of –0.59 for ME). As a spatial pattern of mobility diversity, we find CME values to be higher in suburban regions compared to their related urban centers, while both decrease considerably with lowering urban center sizes. Based on regression models, we find mobility diversity to relate to factors like income and employment. Additionally, using CME reveals the role of car use in relation to land use, which was not recognized when using ME values. Our solution enables a better description of individual mobility at a large scale, which has applications in official statistics, urban planning and policy, and mobility research.

Type: Article
Title: Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/10630732.2018.1450593
Publisher version: https://doi.org/10.1080/10630732.2018.1450593
Language: English
Additional information: Copyright © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Mobility Entropy, CDR data, mobility studies, regional geography, urban areas
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10067135
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