MODELING CITY PULSATION VIA MOBILE DATA
DOI:
https://doi.org/10.29121/ijetmr.v5.i4.2018.215Keywords:
City Pulse, Modelling, Simulation, Radius of Gyration, CDR, Mobile DataAbstract
In this study, the mobile phone traces concern an ephemeral event which represents important densities of people. This research aims to study city pulse and human mobility evolution that would be arise during specific event (Armada festival), by modelling and simulating human mobility of the observed region, depending on CDRs (Call Detail Records) data. The most pivot questions of this research are: Why human mobility studied? What are the human life patterns in the observed region inside Rouen city during Armada festival? How life patterns and individuals' mobility could be extracted for this region from mobile DB (CDRs)? The radius of gyration parameter has been applied to elaborate human life patterns with regards to (work, off) days for the observed data.
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Alberto Rubioa, Angel Sanchezb, Enrique Frias-Martinez,“Adaptive Non-Parametric Identification of Dense Areas using Cell Phone Records for Urban Analysis,” Telefonica Research. Engineering Applications of Artificial Intelligence Volume 26 Issue 1, Pages 551-563, January 2013. DOI: https://doi.org/10.1016/j.engappai.2012.05.005
Armando Bazzani, Massimiliano Capriotti, Bruno Giorgini, Giuseppina Melchiorre, Sandro Rambaldi, Graziano Servizi, and Giorgio Turchetti, “A Model for Asystematic Mobility in Urban Space,” Laboratory of Fisica della Citt, University of Bologna, Italy, book The Dynamics of Complex Urban Systems An Interdisciplinary Approach. Physica-Verlag Heidelberg, 2007.
Balzs Cs. Csjia, Arnaud Browetc, V.A. Traagc, Jean Charles Delvennec, Etienne Huensc, Paul Van Doorenc, Zbigniew Smoredae, and Vincent D. Blondelc,”Exploring the Mobility of Mobile Phone Users,”2013.
Chaoming Song, Tal Koren, Pu Wang, and Albert-Laszlo Barabasi, “Modeling the Scaling Properties of Human Mobility,” 2010.
Christian M. Schneider, Christian Rudloff, Dietmar Bauer, and Marta C. Gonzlez, “Daily Travel Behavior: Lessons from a Week-Long Survey for The Extraction of Human Mobility Motifs Related Information,” UrbComp ’13 Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing article No. 3, 2013. DOI: https://doi.org/10.1145/2505821.2505829
Corina Iovan, Ana-Maria Olteanu-Raimond, Thomas Couronn, and Zbigniew Smoreda, “Moving and Calling: Mobile Phone Data Quality Measurements and Spatiotemporal Uncertainty in Human Mobility Studies,” Springer International Publishing Switzerland, 2013. DOI: https://doi.org/10.1007/978-3-319-00615-4_14
Dani Broitman, and Eric Koomen, “Residential density change: Densification and urban expansion,” Computers, Environment and Urban Systems, 2015. DOI: https://doi.org/10.1016/j.compenvurbsys.2015.05.006
Farnaz Fathali, and Hatairatch Charoenkulvanich,”Human-Mobility Modeling for Cellular Networks,” 2013.
Fosca Giannotti, Luca Pappalardo, Dino Pedreschi, and Dashun Wang, “A complexity Science Perspective on Human Mobility?,” 2012. http://www.dashunwang.com/pdf/2012-obilitybook.pdf.
Gunther Sagl, and Bernd Resch,”Mobile Phones as Ubiquitous Social and Environmental GeoSensors,” Chapter. Heidelberg University, Germany, 2014. DOI: https://doi.org/10.4018/978-1-4666-8239-9.ch098
Lin Sun, “Enabling Pervasive Applications by Understanding Individual and Community Behaviors,” PhD thesis, Universite Pierre & Marie Curie -TELECOM SudParis, December 2012.
Marta C. Gonzalez, Cesar A. Hidalgo, and Albert-Laszlo Barabasi, “Understanding ndividual Human Mobility Patterns Supplementary Material,” nature, 2008. DOI: https://doi.org/10.1038/nature06958
Marta C. Gonzlez, Cesar A. Hidalgo, and Albert-Laszlo Barabasi, “Understanding individual Human Mobility Patterns,” Nature 453, 2009. DOI: https://doi.org/10.1038/nature06958
Raubal, Martin, mraubal, Axhausen, KayW., Yuan,Yihong, Goulias, Konstadinos, yriakidis, Phaedon, Liu, Yu, and liuyu, “Characterizing Human Mobility from Mobile Phone Usage,” ETH Research Database, 2014.
Rawan Ghnemat, Cyrille Bertelle, and Grard H.E. Duchamp, “Agent-Based Modeling Using Swarm Intelligence in Geographical Information Systems,” Innovations’08, Al- Ain: United Arab Emirates 2008, 2008. DOI: https://doi.org/10.1109/INNOVATIONS.2008.4781737
Rawan Ghnemat, Cyrille Bertelle, and Gerard H.E. Duchamp, “Swarm Intelligence Engineering For Spatial Organization Modelling,” 2009, https://hal.archives-ouvertes.fr/hal 00430562/document.
Stat414, “Probability Theory and Mathematical Statistics,” STAT414/415, https://onlinecourses.science.psu.edu/stat414/node/97, 2015.
Thomas Couronné, Valery Kirzhner, Katerina Korenblat, and Zeev Volkovich, “Some Features of the Users’ Activities in the Mobile Telephone Network,” August 2013. DOI: https://doi.org/10.13176/11.517
[Xiao-Yong Yan, Xiao-Pu Han, Tao Zhou, and Bing-HongWang, “Exact Solution of Gyration Radius of Individual’s Trajectory for a Simplified Human Mobility Model,” Physics, 2010.
Yan Xiao-Yong, Han Xiao-Pu, Zhou Tao, and Wang Bing-Hong, “Exact Solution of the Gyration Radius of an Individual’s Trajectory for a Simplified Human Regular Mobility Model,” Chinese Physical Society and IOP Publishing Ltd, 2011. DOI: https://doi.org/10.1088/0256-307X/28/12/120506
Yikang Rui, “Urban Growth Modeling Based on Land-use Changes and Road Network Expansion,” PhD thesis, Doctoral Thesis in Geodesy and Geoinformatics with Specialization in Geoinformatics Royal Institute of Technology Stockholm, Sweden, 2013.
Zahedeh Izakiana, Mohammad Saadi Mesgaria, and Ajith Abrahamb, “Automated clustering of trajectory data using a particle swarm optimization,” Computers, Environment and Urban Systems, 2015. DOI: https://doi.org/10.1016/j.compenvurbsys.2015.10.009
Zbigniew Smoreda, Ana-Maria Olteanu-Raimond, and Thomas Couronné, “Spatiotemporal Data from Mobile Phones for Personal Mobility Assessment, Transport Survey Methods: Best Practice for Decision Making,” Springer, Emerald, 2013, pp 745-767, 2013. DOI: https://doi.org/10.1108/9781781902882-041
Suhad Faisal Behadili, Adaptive Modeling of Urban Dynamics with Mobile Phone Database, Phd., LITIS, Normany University, France, 2016.
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