a visual analytics approach for extracting spatio-temporal urban mobility information from mobile network traffic视觉分析方法提取时空城市流动信息从移动网络流量.pdfVIP

ISPRS Int. J. Geo-Inf. 2012, 1, 256-271; doi:10.3390/ijgi1030256 OPEN ACCESS ISPRS International Journal of Geo-Information ISSN 2220-9964 /journal/ijgi/ Article A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic Günther Sagl 1,*, Martin Loidl 2 and Euro Beinat 2 1 Doctoral College Geographic Information Science, University of Salzburg, Schillerstraße 30, A-5020 Salzburg, Austria 2 Department of Geoinformatics (Z_GIS), University of Salzburg, Hellbrunnerstraße 34, A-5020 Salzburg, Austria; E-Mails: martin.loidl@sbg.ac.at (M.L.); euro.beinat@sbg.ac.at (E.B.) * Author to whom correspondence should be addressed; E-Mail: guenther.sagl@stud.sbg.ac.at; Tel.: +43-662-8044-7550; Fax: +43-662-8044-7589. Received: 28 August 2012; in revised form: 29 September 2012 / Accepted: 16 October 2012 / Published: 2 November 2012 Abstract: In this paper we present a visual analytics approach for deriving spatio-temporal patterns of collective human mobility from a vast mobile network traffic data set. More than 88 million movements between pairs of radio cells—so-called handovers—served as a proxy for more than two months of mobility within four urban test areas in Northern Italy. In contrast to previous work, our approach relies entirely on visualization and mappin