打印

作者

来源

JOURNAL OF URBAN TECHNOLOGY,Vol.25,Issue2SI,P.27-61

语言

英文

关键字

Mobility Entropy; CDR data; mobility studies; regional geography; urban areas; CALL DETAIL RECORDS; PHONE USAGE; TRAVEL; PREDICTABILITY; USERS

作者单位

[Vanhoof, Maarten] Newcastle Univ, Open Lab, Newcastle Upon Tyne, Tyne & Wear, England. [Schoors, Willem; Van Rompaey, Anton] Katholieke Univ Leuven, Leuven, Belgium. [Ploetz, Thomas] Georgia Inst Technol, Atlanta, GA 30332 USA. [Vanhoof, Maarten; Smoreda, Zbigniew] Orange Labs France, Paris, France. Vanhoof, M (reprint author), Open Lab, Sci Cent, 1 Sci Sq, Newcastle Upon Tyne NE4 5TG, Tyne & Wear, England. E-Mail: m.vanhoof1@newcastle.ac.uk

摘要

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 approximate to 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.