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Ocean of information: fusing aggregate & individual dynamics for metropolitan analysis

Published: 07 February 2010 Publication History

Abstract

In this paper, we propose a tool to explore human movement dynamics in a Metropolitan Area. By analyzing a mass of individual cell phone traces, we build a Human-City Interaction System for understanding urban mobility patterns at different user-controlled temporal and geographic scales. We solve the problems that are found in available tools for spatio-temporal analysis, by allowing seamless manipulability and introducing a simultaneous\multi-scale visualization of individual and aggregate flows. Our tool is built to support the exploration and discovery of urban mobility patterns and the daily interactions of millions of people. Moreover, we implement an intelligent algorithm to evaluate the level of mobility homophily of people moving from place to place.

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References

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    cover image ACM Conferences
    IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces
    February 2010
    460 pages
    ISBN:9781605585154
    DOI:10.1145/1719970
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 07 February 2010

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    Author Tags

    1. cellphone data analysi
    2. exploratory spatial data analysis
    3. graph visualization
    4. intelligent human information interaction
    5. visual analysis

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    • (2015)Mobile Phones as Ubiquitous Social and Environmental Geo-SensorsEncyclopedia of Mobile Phone Behavior10.4018/978-1-4666-8239-9.ch098(1194-1213)Online publication date: 2015
    • (2015)A survey of results on mobile phone datasets analysisEPJ Data Science10.1140/epjds/s13688-015-0046-04:1Online publication date: 5-Aug-2015
    • (2015)Data from mobile phone operatorsTelecommunications Policy10.1016/j.telpol.2014.04.00139:3(335-346)Online publication date: 1-May-2015
    • (2014)AllAboardProceedings of the 19th international conference on Intelligent User Interfaces10.1145/2557500.2557532(335-340)Online publication date: 24-Feb-2014
    • (2014)From Sensing to Action: Quick and Reliable Access to Information in Cities Vulnerable to Heavy RainIEEE Sensors Journal10.1109/JSEN.2014.235498014:12(4175-4184)Online publication date: Dec-2014
    • (2013)Data from telecommunication networks for incident management: An exploratory review on transport safety and securityTransport Policy10.1016/j.tranpol.2012.08.00628(86-102)Online publication date: Jul-2013
    • (2012)Geosensor Data Representation Using Layered Slope GridsSensors10.3390/s12121707412:12(17074-17093)Online publication date: 12-Dec-2012
    • (2012)A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network TrafficISPRS International Journal of Geo-Information10.3390/ijgi10302561:3(256-271)Online publication date: 2-Nov-2012
    • (2012)Inferring human mobility patterns from anonymized mobile communication usageProceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia10.1145/2428955.2428988(151-160)Online publication date: 3-Dec-2012

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