scholarly journals Discovering Regularity Patterns of Mobility Practices through Mobile Phone Data

2014 ◽  
Vol 5 (3) ◽  
pp. 37-54 ◽  
Author(s):  
Paolo Tagliolato ◽  
Fabio Manfredini ◽  
Paola Pucci
Keyword(s):  
Mobile Phone ◽  
Temporal Resolution ◽  
Northern Italy ◽  
Mobile Phone Data ◽  
Urban Region ◽  
Network Data ◽  
Mobile Phone Network

This article addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data, which provide geo-located information on mobile phone activity at a high spatial and temporal resolution. It will present and discuss major findings and drawbacks, based on an application carried out on the Milan urban region (Lombardy, Northern Italy) and suggest possible implications for policies.

scholarly journals Discovering Regularity Patterns of Mobility Practices Through Mobile Phone Data

2018 ◽  
pp. 173-195
Author(s):  
Paolo Tagliolato ◽  
Fabio Manfredini
Keyword(s):  
Mobile Phone ◽  
Temporal Resolution ◽  
Northern Italy ◽  
Mobile Phone Data ◽  
Urban Region ◽  
Network Data ◽  
Mobile Phone Network

The chapter addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data that provide geo-located information on mobile phone activity at a high spatial and temporal resolution. The authors present and discuss major findings and drawbacks based on an application carried out on the Milan urban region (Lombardy, Northern Italy) and suggest possible implications for policies.

Mobile Phone Network Data

2013 ◽  
pp. 115-128 ◽  
Author(s):  
Fabio Manfredini ◽  
Paola Pucci ◽  
Paolo Tagliolato
Keyword(s):  
Mobile Phone ◽  
Urban Studies ◽  
Mobile Phone Data ◽  
Network Data ◽  
Network Information ◽  
City Dynamics ◽  
Mobile Phone Network ◽  
Urban Analysis ◽  
Unique Source ◽  
Source Of Information

The chapter presents some applications of mobile phone network data analysis to urban studies. At the beginning, through examples on mobility, temporary population, and scale, the reasons are discussed for why urban analysis traditional data sources no longer appear to be adequate to describe contemporary city dynamics. Afterwards, mobile phone network data is introduced as a potential new source for urban studies, providing evidences and arguments on issues such as large events monitoring, the need of integration of mobile phone traffic data with statistical data and temporary population definition and analysis. Because of its spatial and temporal resolution, mobile phone data represent an interesting and unique source of information on urban uses variability over time. Telephone traffic can become a valid alternative/complement to traditional methods, being it able to resolve both traditional survey’s limitations of latency (cellular network information can be easily retrieved in real time) and pervasivity (huge diffusion of cell-phones) at once.

scholarly journals Inferring and Modeling Migration Flows Using Mobile Phone Network Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 164746-164758 ◽  
Author(s):  
Soranan Hankaew ◽  
Santi Phithakkitnukoon ◽  
Merkebe Getachew Demissie ◽  
Lina Kattan ◽  
Zbigniew Smoreda ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Network Data ◽  
Mobile Phone Network ◽  
Migration Flows

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

PLoS Medicine ◽  
2011 ◽  
Vol 8 (8) ◽  
pp. e1001083 ◽  
Author(s):  
Linus Bengtsson ◽  
Xin Lu ◽  
Anna Thorson ◽  
Richard Garfield ◽  
Johan von Schreeb
Keyword(s):  
Mobile Phone ◽  
Network Data ◽  
Population Movements ◽  
Mobile Phone Network

scholarly journals Long-distance mode choice model estimation using mobile phone network data

2021 ◽  
pp. 100337
Author(s):  
Angelica Andersson ◽  
Leonid Engelson ◽  
Maria Börjesson ◽  
Andrew Daly ◽  
Ida Kristoffersson
Keyword(s):  
Mobile Phone ◽  
Choice Model ◽  
Mode Choice ◽  
Network Data ◽  
Model Estimation ◽  
Long Distance ◽  
Mode Choice Model ◽  
Mobile Phone Network
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