NeurIPS 2019poster79 citations
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Nixie S Lesmana, Xuan Zhang, Xiaohui Bei
Abstract
We investigate the problem of assigning trip requests to available vehicles in on-demand ridesourcing. Much of the literature has focused on maximizing the total value of served requests, achieving efficiency on the passengers’ side. However, such solutions may result in some drivers being assigned to insufficient or undesired trips, therefore losing fairness from the drivers’ perspective.
BibTeX
@inproceedings{NEURIPS2019_3070e6ad,
author = {Lesmana, Nixie S and Zhang, Xuan and Bei, Xiaohui},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Balancing Efficiency and Fairness in On-Demand Ridesourcing},
url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/3070e6addcd702cb58de5d7897bfdae1-Paper.pdf},
volume = {32},
year = {2019}
}