skip to main content
10.1145/1734583.1734589acmconferencesArticle/Chapter ViewAbstractPublication PageshotmobileConference Proceedingsconference-collections
research-article

A tale of two cities

Published:22 February 2010Publication History

ABSTRACT

An improved understanding of human mobility patterns would yield insights into a variety of important societal issues such as the environmental impact of daily commutes. Location information from cellular wireless networks has great potential as a tool for studying these patterns. In this work, we use anonymous and aggregate statistics of the approximate locations of hundreds of thousands of cell phones in Los Angeles and New York City to demonstrate different mobility patterns in the two cities. For example, we show that Angelenos have median daily travel distances two times greater than New Yorkers, but that the most mobile 25% of New Yorkers travel six times farther than their Los Angeles counterparts.

References

  1. The journey to work: Relation between employment and residence. Technical Report No. 26, American Society of Planning Officials, May 1951.Google ScholarGoogle Scholar
  2. D. Brockmann, V. David, and A. M. Gallardo. Human mobility and spatial disease dynamics. Proc. of the Workshop on Social Computing with Mobile Phones and Sensors: Modeling, Sensing and Sharing, Aug. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  3. J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and M. B. Srivastava. Participatory sensing. In Workshop on World-Sensor-Web (WSW06): Mobile Device Centric Sensor Networks and Applications, pages 117--134, 2006.Google ScholarGoogle Scholar
  4. D. Cuff, M. Hansen, and J. Kang. Urban sensing: out of the woods. Commun. ACM, 51(3):24--33, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. F. Girardin, F. Calabrese, F. Dal Fiorre, A. Biderman, C. Ratti, and J. Blat. Uncovering the presence and movements of tourists from user-generated content. In Proc. of International Forum on Tourism Statistics, 2008.Google ScholarGoogle Scholar
  6. F. Girardin, A. Vaccari, A. Gerber, A. Biderman, and C. Ratti. Towards estimating the presence of visitors from the aggragate mobile phone network activity they generate. In Proc. of International Conference on Computers in Urban Planning and Urban Management, 2009.Google ScholarGoogle Scholar
  7. M. C. González, C. A. Hidalgo, and A.-L. Barabási. Understanding individual human mobility patterns. Nature, 453, June 2008.Google ScholarGoogle Scholar
  8. R. Guimera and L. Amaral. Modeling the world-wide airport network. Eur Phys J B, 38, Jan. 2004.Google ScholarGoogle Scholar
  9. R. McGill, J. W. Tukey, and W. A. Larson. Variations of box plots. The American Statistician, 32, Feb. 1978.Google ScholarGoogle Scholar
  10. M. Mun, S. Reddy, K. Shilton, N. Yau, J. Burke, D. Estrin, M. Hansen, E. Howard, R. West, and P. Boda. PEIR, the personal environmental impact report, as a platform for participatory sensing systems research. Proc. of the International Conference on Mobile Systems, Applications and Services, June 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. R. Pulselli, P. Ramono, C. Ratti, and E. Tiezzi. Computing urban mobile landscapes through monitoring population density based on cellphone chatting. Int. J. of Design and Nature and Ecodynamics, 3, 2008.Google ScholarGoogle Scholar
  12. N. Sarafijanovic-Djukic, M. Piórkowski, and M. Grossglauser. Island hopping: Efficient mobility-assisted forwarding in partitioned networks. SECON, Sept. 2006.Google ScholarGoogle ScholarCross RefCross Ref
  13. T. Sohn, A. Varshavsky, A. LaMarca, M. Y. Chen, T. Choudhury, I. Smith, S. Consolvo, J. Hightower, W. G. Griswold, and E. de Lara. Mobility detection using everyday GSM traces. Proc. of the International Conference on Ubiquitous Computing, Sept. 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. D. Tang and M. Baker. Analysis of a metropolitian-area wireless network. Wireless Networks, 8, March-May 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. US census data. Downloaded from http://www.census.gov.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    HotMobile '10: Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
    February 2010
    99 pages
    ISBN:9781450300056
    DOI:10.1145/1734583

    Copyright © 2010 ACM

    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]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 22 February 2010

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article

    Acceptance Rates

    Overall Acceptance Rate96of345submissions,28%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader