research-article

A Tale of One City: Using Cellular Network Data for Urban Planning

Authors:

Alexander Varshavsky,

Chris VolinskyAuthors Info & Claims

IEEE Pervasive Computing, Volume 10, Issue 4

Pages 18 - 26

https://doi.org/10.1109/MPRV.2011.44

Published: 01 October 2011 Publication History

Abstract

Cellular data from call detail records can help urban planners better understand city dynamics. The authors use CDR data to analyze people flow in and out of a suburban city near New York City.

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Zhang YRao WZhang KChen L(2023)Outdoor Position Recovery From Heterogeneous Telco Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.323236135:11(11736-11750)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TKDE.2022.3232361
Maji GSen S(2022)Finding Optimal Transport Route and Retail Outlet Location Using Mobile Phone Location DataInternational Journal of Software Innovation10.4018/IJSI.30122610:1(1-20)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.4018/IJSI.301226
Polese MJana RKounev VZhang KDeb SZorzi M(2021)Machine Learning at the Edge: A Data-Driven Architecture With Applications to 5G Cellular NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2020.299985220:12(3367-3382)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1109/TMC.2020.2999852
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Published In

IEEE Pervasive Computing Volume 10, Issue 4

October 2011

101 pages

ISSN:1536-1268

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Publisher

IEEE Educational Activities Department

United States

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Published: 01 October 2011

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Zhang YRao WZhang KChen L(2023)Outdoor Position Recovery From Heterogeneous Telco Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.323236135:11(11736-11750)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TKDE.2022.3232361
Maji GSen S(2022)Finding Optimal Transport Route and Retail Outlet Location Using Mobile Phone Location DataInternational Journal of Software Innovation10.4018/IJSI.30122610:1(1-20)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.4018/IJSI.301226
Polese MJana RKounev VZhang KDeb SZorzi M(2021)Machine Learning at the Edge: A Data-Driven Architecture With Applications to 5G Cellular NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2020.299985220:12(3367-3382)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1109/TMC.2020.2999852
Luckner MGrzenda MKunicki RLegierski J(2020)IoT Architecture for Urban Data-Centric Services and ApplicationsACM Transactions on Internet Technology10.1145/339685020:3(1-30)Online publication date: 24-Jul-2020
https://dl.acm.org/doi/10.1145/3396850
Miranda FHosseini MLage MDoraiswamy HDove GSilva CBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Urban MosaicProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376399(1-15)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376399
Zhang YXiao YZhao KRao WPoor VHan Z(2019)DeepLocProceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3360774.3360779(258-267)Online publication date: 12-Nov-2019
https://dl.acm.org/doi/10.1145/3360774.3360779
Zhang YRao WZhang KYuan MZeng JZhu WTao DCheng XCui PRundensteiner ECarmel DHe QXu Yu J(2019)PRNetProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357908(1933-1942)Online publication date: 3-Nov-2019
https://dl.acm.org/doi/10.1145/3357384.3357908
Toch ELerner BBen-Zion EBen-Gal I(2019)Analyzing large-scale human mobility dataKnowledge and Information Systems10.1007/s10115-018-1186-x58:3(501-523)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10115-018-1186-x
Andión JNavarro JLópez GÁlvarez-Campana MDueñas JLanza J(2018)Smart Behavioral Analytics over a Low-Cost IoT Wi-Fi Tracking Real DeploymentWireless Communications & Mobile Computing10.1155/2018/31364712018Online publication date: 2-Dec-2018
https://dl.acm.org/doi/10.1155/2018/3136471
Jayarajah KMisra A(2018)Predicting Episodes of Non-Conformant Mobility in Indoor EnvironmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870502:4(1-24)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1145/3287050
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Framework Proposal of Smart City Development in Developing Country, A Case Study - Vietnam

Estimating Travel Time of Dhaka City from Mobile Phone Call Detail Records

City services provision assessment algorithm

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