• DOI:10.1007/978-3-030-11238-7_2
Corpus ID: 52069736

MobilityMirror: Bias-Adjusted Transportation Datasets

@inproceedings{Rodriguez2018MobilityMirrorBT,
  title={MobilityMirror: Bias-Adjusted Transportation Datasets},
  author={Luke Rodriguez and Babak Salimi and H. Ping and Julia Stoyanovich and Bill Howe},
  booktitle={BiDU@VLDB},
  year={2018}
}

Luke Rodriguez, Babak Salimi, +2 authors Bill Howe

Published in BiDU@VLDB 2018

Computer Science

We describe customized synthetic datasets for publishing mobility data. Companies are providing new transportation modalities, and their data is of high value for integrative transportation research, policy enforcement, and public accountability. However, these companies are disincentivized from sharing data not only to protect the privacy of individuals (drivers and/or passengers), but also to protect their own competitive advantage. Moreover, demographic biases arising from how the services… CONTINUE READING

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed