The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility
This repository contains the code for our paper titled The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility, published on ACM Transactions on Spatial Algorithms and Systems, in 2021.
The Jupyter notebooks show our experiments for the main results in the paper.
The datasets used in the paper have basically four columns:
device_id: identifier of the user.timestamp: the date/time of when the user's location was observed.lat: the latitude of the user's location at the moment of the observation.lon: the longitude of the user's location at the moment of the observation.
The script data_processing.py reads the dataset, converts each lat/lon to a unique identifier, computes the metrics described in the paper, and generates a CSV file with all that data. The notebook data_processing.ipynb has the same contents as the script data_processing.py, but has more comments on each processing step. Each of the scripts described below reads the CSV file generated in the preprocessing step.
The notebook data_visualization.ipynb contains the code used to generate most of the plots in the paper, as well as to compute some aggregate statistics about our datasets.
The notebook regression.ipynb contains the code for the regression models that we built in the paper, as well as plots based on those models.
Here's the bibtex for citing the paper, in case you find it useful:
@article{Teixeira:2021,
author = {Teixeira, Douglas Do Couto and Viana, Aline Carneiro and Almeida, Jussara M. and Alvim, Mrio S.},
title = {The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility},
year = {2021},
issue_date = {June 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {7},
number = {4},
issn = {2374-0353},
url = {https://doi.org/10.1145/3459625},
doi = {10.1145/3459625},
journal = {ACM Trans. Spatial Algorithms Syst.},
month = jun,
articleno = {19},
numpages = {24},
keywords = {predictability, entropy estimators, Human mobility, contextual information}
}