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From the Editor

From the Editor Journal of Urban Technology, Vol. 19, No. 4, 1–2, October 2012 In this journal and others, scholars have begun using mobile phone datasets to measure various urban activities, examining where people go in a city and when they go there. In their article, which opens this issue, Chaogui Kang, Yu Liu, Xiujun Ma, and Lun Wu use those datasets to estimate urban population dis- tributions at different times of the day. They had access to the data of nearly two million users who made over 100 million communications over the seven consecu- tive days of their study. There were several interesting aspects to their study, but one of the most interesting was their discovery that Erlang values were a defective indicator of population distribution, which was better measured by the number of calls. Better understanding which methodology to employ when examining mobile phone data can have positive effects on resource allocation, traffic optim- ization, and land-use policies. Because it seems as if information and communication technologies (ICT) found their way into the operation of just about every urban system long ago, it is somewhat surprising to learn that certain systems in some world cities are still working out how http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Urban Technology Taylor & Francis

From the Editor

Hanley, Richard E.
Journal of Urban Technology , Volume 19 (4): 2 – Oct 1, 2012
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Publisher
Taylor & Francis
Copyright
Copyright The Society of Urban Technology
ISSN
1466-1853
eISSN
1063-0732
DOI
10.1080/10630732.2012.746585
Publisher site
See Article on Publisher Site

Abstract

Journal of Urban Technology, Vol. 19, No. 4, 1–2, October 2012 In this journal and others, scholars have begun using mobile phone datasets to measure various urban activities, examining where people go in a city and when they go there. In their article, which opens this issue, Chaogui Kang, Yu Liu, Xiujun Ma, and Lun Wu use those datasets to estimate urban population dis- tributions at different times of the day. They had access to the data of nearly two million users who made over 100 million communications over the seven consecu- tive days of their study. There were several interesting aspects to their study, but one of the most interesting was their discovery that Erlang values were a defective indicator of population distribution, which was better measured by the number of calls. Better understanding which methodology to employ when examining mobile phone data can have positive effects on resource allocation, traffic optim- ization, and land-use policies. Because it seems as if information and communication technologies (ICT) found their way into the operation of just about every urban system long ago, it is somewhat surprising to learn that certain systems in some world cities are still working out how

Journal

Journal of Urban Technology – Taylor & Francis

Published: Oct 1, 2012

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