Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

AAAI 2019 pp. 9983-9984

doi:10.1609/AAAI.V33I01.33019983 /aaai/2019/liu2019aaai-ethically/

Abstract

We consider the problem of mobilizing community effort to reposition indiscriminantly parked shared bikes in urban environments through crowdsourcing. We propose an ethically aligned incentive optimization approach WSLS which maximizes the rate of success for bike repositioning while minimizing cost and prioritizing users’ wellbeing. Realistic simulations based on a dataset from Singapore demonstrate that WSLS significantly outperforms existing approaches.

PDF AAAI Semantic Scholar

Cite

Text

Liu et al. "Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes." AAAI Conference on Artificial Intelligence, 2019. doi:10.1609/AAAI.V33I01.33019983

Markdown

[Liu et al. "Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes." AAAI Conference on Artificial Intelligence, 2019.](https://mlanthology.org/aaai/2019/liu2019aaai-ethically/) doi:10.1609/AAAI.V33I01.33019983

BibTeX

@inproceedings{liu2019aaai-ethically,
  title     = {{Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes}},
  author    = {Liu, Zelei and Yu, Han and Wang, Leye and Hu, Liang and Yang, Qiang},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {9983-9984},
  doi       = {10.1609/AAAI.V33I01.33019983},
  url       = {https://mlanthology.org/aaai/2019/liu2019aaai-ethically/}
}