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Understanding the spatiotemporal distribution of people within a city is crucial to many planning applications. Obtaining data to create required knowledge, currently involves costly survey methods. At the same time ubiquitous mobile…

Machine Learning · Statistics 2012-07-06 Jameson L. Toole , Michael Ulm , Dietmar Bauer , Marta C. Gonzalez

Cellular phones are now offering an ubiquitous means for scientists to observe life: how people act, move and respond to external influences. They can be utilized as measurement devices of individual persons and for groups of people of the…

Physics and Society · Physics 2015-06-12 Shao-Meng Qin , Hannu Verkasalo , Mikael Mohtaschemi , Tuomo Hartonen , Mikko Alava

Human Mobility has attracted attentions from different fields of studies such as epidemic modeling, traffic engineering, traffic prediction and urban planning. In this survey we review major characteristics of human mobility studies…

Social and Information Networks · Computer Science 2013-07-04 Fereshteh Asgari , Vincent Gauthier , Monique Becker

Sociological studies on transnational migration are often based on surveys or interviews, an expensive and time consuming approach. On the other hand, the pervasiveness of mobile phones and location aware social networks has introduced new…

Social and Information Networks · Computer Science 2015-07-23 Victor R. Martinez , Antonio Mancilla , Victor M. Gonzalez

The study of human mobility patterns is a crucially important research field for its impact on several socio-economic aspects and, in particular, the measure of regularity patters of human mobility can provide a across-the-board view of…

Physics and Society · Physics 2021-04-20 Fabio Vanni , David Lambert

Understanding human mobility patterns is important in applications as diverse as urban planning, public health, and political organizing. One rich source of data on human mobility is taxi ride data. Using the city of Chicago as a case…

Social and Information Networks · Computer Science 2023-06-22 Harish Chauhan , Nikunj Gupta , Zoe Haskell-Craig

The availability of cellphone geolocation data provides a remarkable opportunity to study human mobility patterns and how these patterns are affected by the recent pandemic. Two simple centrality metrics allow us to measure two different…

Social and Information Networks · Computer Science 2022-08-16 Oscar Fontanelli , Dulce I. Valdivia , Guillermo Romero , Oliver Medina , Wentian Li , Maribel Hernández-Rosales

There is little knowledge available on the spatial behaviour of urban tourists, and yet tourists generate an enormous quantity of data (Big Data) when they visit cities. These data sources can be used to track their presence through their…

Computers and Society · Computer Science 2017-05-24 Maria Henar Salas-Olmedo , Juan Carlos Garcia-Palomares , Javier Gutierrez

In this paper we deal with the study of travel flows and patterns of people in large populated areas. Information about the movements of people is extracted from coarse-grained aggregated cellular network data without tracking mobile…

Physics and Society · Physics 2018-07-20 Caterina Balzotti , Andrea Bragagnini , Maya Briani , Emiliano Cristiani

Smartphones and other mobile devices are today pervasive across the globe. As an interesting side effect of the surge in mobile communications, mobile network operators can now easily collect a wealth of high-resolution data on the habits…

Networking and Internet Architecture · Computer Science 2016-10-25 Ghazaleh Khodabandelou , Vincent Gauthier , Mounim A. El-Yacoubi , Marco Fiore

The proliferation of smartphones has accelerated mobility studies by largely increasing the type and volume of mobility data available. One such source of mobility data is from GPS technology, which is becoming increasingly common and helps…

Machine Learning · Computer Science 2022-12-02 Zann Koh , Yuren Zhou , Billy Pik Lik Lau , Ran Liu , Keng Hua Chong , Chau Yuen

The advent of geolocated ICT technologies opens the possibility of exploring how people use space in cities, bringing an important new tool for urban scientists and planners, especially for regions where data is scarce or not available.…

The enormous amount of recently available mobile phone data is providing unprecedented direct measurements of human behavior. Early recognition and prediction of behavioral patterns are of great importance in many societal applications like…

Social and Information Networks · Computer Science 2015-10-13 Zolzaya Dashdorj , Stanislav Sobolevsky

Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and to generate models that can capture and…

Communication-enabled devices routinely carried by individuals have become pervasive, opening unprecedented opportunities for collecting digital metadata about the mobility of large populations. In this paper, we propose a novel methodology…

Networking and Internet Architecture · Computer Science 2018-11-01 Ghazaleh Khodabandelou , Vincent Gauthier , Marco Fiore , Mounim El-Yacoubi

Social media outlets such as Twitter constitute valuable data sources for understanding human activities in the virtual world from a geographic perspective. This paper examines spatial distribution of tweets and densities within cities. The…

Physics and Society · Physics 2020-09-04 Bin Jiang , Ding Ma , Junjun Yin , Mats Sandberg

Profiting from the emergence of web-scale social data sets, numerous recent studies have systematically explored human mobility patterns over large populations and large time scales. Relatively little attention, however, has been paid to…

The pervasiveness of mobile devices, which is increasing daily, is generating a vast amount of geo-located data allowing us to gain further insights into human behaviors. In particular, this new technology enables users to communicate…

Physics and Society · Physics 2014-08-26 Maxime Lenormand , Antònia Tugores , Pere Colet , José J. Ramasco

We introduce a basic model for human mobility that accounts for the different dynamics arising from individuals embarking on short trips (and returning to their home locations) and individuals relocating to a new home. The differences…

Physics and Society · Physics 2014-10-09 Joseph D. Skufca , Daniel ben-Avraham

Traditional measures of urban accessibility often rely on static models or survey data. However, location information from mobile networks now enables large-scale, dynamic analyses of how people navigate cities. This study uses eXtended…

Computers and Society · Computer Science 2026-01-21 Cesar Marin-Flores , Leo Ferres , Henrikki Tenkanen