Human mobility characterization from cellular network data-Reference-Cited by-同舟云学术

Human mobility characterization from cellular network data

Published:2013-01 Issue:1 Volume:56 Page:74-82
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Becker Richard¹,Cáceres Ramón¹,Hanson Karrie¹,Isaacman Sibren²,Loh Ji Meng³,Martonosi Margaret⁴,Rowland James¹,Urbanek Simon¹,Varshavsky Alexander¹,Volinsky Chris¹

Affiliation:

1. AT&T Labs - Research, Florham Park, NJ

2. Loyola University Maryland, Baltimore

3. New Jersey Institute of Technology, Newark, NJ

4. Princeton University, Princeton, NJ

Abstract

Anonymous location data from cellular phone networks sheds light on how people move around on a large scale.

Funder

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2398356.2398375

Reference24 articles.

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3. Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti

4. M.J. Bradley and Associates. Comparison of Energy Use & CO2 Emissions from Different Transportation Modes. Report to American Bus Association Washington D.C. May 2007; http://www.buses.org/files/ComparativeEnergy.pdf M.J. Bradley and Associates. Comparison of Energy Use & CO 2 Emissions from Different Transportation Modes . Report to American Bus Association Washington D.C. May 2007; http://www.buses.org/files/ComparativeEnergy.pdf

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