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Journal of Network and Systems Management

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22-03-2018

Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data

Authors: Humberto T. Marques-Neto, Faber H. Z. Xavier, Wender Z. Xavier, Carlos Henrique S. Malab, Artur Ziviani, Lucas M. Silveira, Jussara M. Almeida

Published in: Journal of Network and Systems Management | Issue 4/2018

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Abstract

The analysis of mobile phone data can help carriers to improve the way they deal with unusual workloads imposed by large-scale events. This paper analyzes human mobility and the resulting dynamics in the network workload caused by three different types of large-scale events: a major soccer match, a rock concert, and a New Year’s Eve celebration, which took place in a large Brazilian city. Our analysis is based on the characterization of records of mobile phone calls made around the time and place of each event. That is, human mobility and network workload are analyzed in terms of the number of mobile phone calls, their inter-arrival and inter-departure times, and their durations. We use heat maps to visually analyze the spatio-temporal dynamics of the movement patterns of the participants of the large-scale event. The results obtained can be helpful to improve the understanding of human mobility caused by large-scale events. Such results could also provide valuable insights for network managers into effective capacity management and planning strategies. We also present PrediTraf, an application built to help the cellphone carriers plan their infrastructure on large-scale events.

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People who live or work in the same area of the event are also considered attendees. We understand that the neighborhood of an event place should also be included in the carriers capacity management.

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Title: Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data
Authors: Humberto T. Marques-Neto
Faber H. Z. Xavier
Wender Z. Xavier
Carlos Henrique S. Malab
Artur Ziviani
Lucas M. Silveira
Jussara M. Almeida
Publication date: 22-03-2018
Publisher: Springer US
Published in: Journal of Network and Systems Management / Issue 4/2018
Print ISSN: 1064-7570
Electronic ISSN: 1573-7705
DOI: https://doi.org/10.1007/s10922-018-9454-3

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