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.
| Original language | English (US) |
|---|---|
| Title of host publication | HotMobile 2010: The 11th Workshop on Mobile Computing Systems and Applications |
| Pages | 19-24 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2010 |
| Event | 11th Workshop on Mobile Computing Systems and Applications, HotMobile 2010 - Annapolis, MD, United States Duration: Feb 22 2010 → Feb 23 2010 |
Other
| Other | 11th Workshop on Mobile Computing Systems and Applications, HotMobile 2010 |
|---|---|
| Country | United States |
| City | Annapolis, MD |
| Period | 2/22/10 → 2/23/10 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Software
Cite this
A tale of two cities. / Isaacman, Sibren; Becker, Richard; Cáceres, Ramón; Kobourov, Stephen G; Rowland, James; Varshavsky, Alexander.
HotMobile 2010: The 11th Workshop on Mobile Computing Systems and Applications. 2010. p. 19-24.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A tale of two cities
AU - Isaacman, Sibren
AU - Becker, Richard
AU - Cáceres, Ramón
AU - Kobourov, Stephen G
AU - Rowland, James
AU - Varshavsky, Alexander
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77951557924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951557924&partnerID=8YFLogxK
U2 - 10.1145/1734583.1734589
DO - 10.1145/1734583.1734589
M3 - Conference contribution
AN - SCOPUS:77951557924
SN - 9781450300056
SP - 19
EP - 24
BT - HotMobile 2010: The 11th Workshop on Mobile Computing Systems and Applications
ER -