BibTex format
@inbook{de:2015,
author = {de, Montjoye YKJV},
booktitle = {Social Phenomena From Data Analysis to Models},
publisher = {Springer},
title = {Modeling and UnderstandingIntrinsic Characteristics of Human Mobility},
year = {2015}
}
Publications from our Researchers
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
Citation
RIS format (EndNote, RefMan)
TY - CHAP
AB - Humans are intrinsically social creatures and our mobility is central to understanding how our societies grow and function. Movement allows us to congregate with our peers, access things we need, and exchange information. Human mobility has huge impacts on topics like urban and transportation planning, social and biologic spreading, and economic outcomes. So far, modeling these processes has been hindered by a lack of data. This is radically changing with the rise of ubiquitous devices. In this chapter, we discuss recent progress deriving insights from the massive, high resolution data sets collected from mobile phone and other devices. We begin with individual mobility, where empirical evidence and statistical models have shown important intrinsic and universal characteristics about our movement: we, as human, are fundamentally slow to explore new places, relatively predictable, and mostly unique. We then explore methods of modeling aggregate movement of people from place to place and discuss how these estimates can be used to understand and optimize transportation infrastructure. Finally, we highlight applications of these findings to the dynamics of disease spread, social networks, and economic outcomes.
AU - de,Montjoye YKJV
PB - Springer
PY - 2015///
SN - 9783319140117
TI - Modeling and UnderstandingIntrinsic Characteristics of Human Mobility
T1 - Social Phenomena From Data Analysis to Models
ER -
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