Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes

Authors

  • Zelei Liu Jilin University
  • Han Yu Nanyang Technological University
  • Leye Wang Hong Kong University of Science and Technology
  • Liang Hu Jilin University
  • Qiang Yang Hong Kong University of Science and Technology

DOI:

https://doi.org/10.1609/aaai.v33i01.33019983

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.

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Published

2019-07-17

How to Cite

Liu, Z., Yu, H., Wang, L., Hu, L., & Yang, Q. (2019). Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9983-9984. https://doi.org/10.1609/aaai.v33i01.33019983

Issue

Section

Student Abstract Track