Limits of Predictability in Human Mobility
Northeastern University · Dana-Farber Cancer Institute · +1 more institution
Abstract
Predictable Travel Routines While people rarely perceive their actions to be random, current models of human activity are fundamentally stochastic. Processes that rely on human mobility patterns, like the prediction of new epidemics, traffic engineering, or city planning, could benefit from highly accurate predictive models. To investigate the predictability of human dynamics, Song et al. (p. 1018 ) used the recorded trajectories of millions of mobile phone users, collected by mobile phone companies and anonymized for research purposes. They hypothesized that given the wide range of travel patterns that different users follow, there would be significant differences between their predictability as well: Users…
Citation impact
- FWCI
- 357.75
- Percentile
- 100%
- References
- 25
Authors
4- CSChaoming Song
Northeastern University, Dana-Farber Cancer Institute
- ZQZehui Qu
Northeastern University, University of Electronic Science and Technology of China, Dana-Farber Cancer Institute
- NBNicholas Blumm
Northeastern University, Dana-Farber Cancer Institute
- ABAlbert-Ĺaszló BarabásiCorresponding
Northeastern University, Dana-Farber Cancer Institute
Topics & keywords
- Predictability
- Mobile phone
- Computer science
- Phone
- Range (aeronautics)
- Econometrics
- Statistics
- Telecommunications
- Good health and well-being