The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network

@article{Ogulenko2021TheFO,
  title={The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network},
  author={Aleksey Ogulenko and Itzhak Benenson and Marina Toger and John {\"O}sth and Alexey Siretskiy},
  journal={Comput. Environ. Urban Syst.},
  year={2021},
  volume={95},
  pages={101826}
}
View PDF on arXiv
2 Citations
Background Citations
1
Results Citations
1

2 Citations

Leisure mobility changes during the COVID-19 pandemic – An analysis of survey and mobile phone data in Sweden

Use of Simulation Models for the Development of a Statistical Production Framework for Mobile Network Data with the simutils Package

This work presents a mobile network data simulator which is managed through the simutils R package which provides geospatial representations of the simulated data which allows an R user to parameterize and run this external simulation tool, to build geosp spatial data structures from the simulation output or to compute several aggregates.

References

SHOWING 1-10 OF 70 REFERENCES

Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data

Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

An unprecedented evaluation of the accuracy of home detection algorithms and quantify the amount of data needed for each stream to carry out successful home detection for each streams is provided.

Examining potentials and practical constraints of mobile phone data for improving transport planning in developing countries

Vehicle travel path recognition in urban dense road network environments by using mobile phone data

A vehicle path recognition model combined with mobile phone data that was verified from trip lengths, urban environments, and road categories, and the recognition accuracy was around 90%, 24.22% higher than that of existing methods.

TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data

Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data

Bayesian estimate of position in mobile phone network

From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration

Comparison of the spatiotemporal mobility patterns among typical subgroups of the actual population with mobile phone data: A case study of Beijing

Swapping trajectories with a sufficient sanitizer

...