English

Proportional Fairness in Obnoxious Facility Location

Computer Science and Game Theory 2024-11-08 v2 Artificial Intelligence Multiagent Systems Theoretical Economics

Abstract

We consider the obnoxious facility location problem (in which agents prefer the facility location to be far from them) and propose a hierarchy of distance-based proportional fairness concepts for the problem. These fairness axioms ensure that groups of agents at the same location are guaranteed to be a distance from the facility proportional to their group size. We consider deterministic and randomized mechanisms, and compute tight bounds on the price of proportional fairness. In the deterministic setting, we show that our proportional fairness axioms are incompatible with strategyproofness, and prove asymptotically tight ϵ\epsilon-price of anarchy and stability bounds for proportionally fair welfare-optimal mechanisms. In the randomized setting, we identify proportionally fair and strategyproof mechanisms that give an expected welfare within a constant factor of the optimal welfare. Finally, we prove existence results for two extensions to our model.

Keywords

Cite

@article{arxiv.2301.04340,
  title  = {Proportional Fairness in Obnoxious Facility Location},
  author = {Alexander Lam and Haris Aziz and Bo Li and Fahimeh Ramezani and Toby Walsh},
  journal= {arXiv preprint arXiv:2301.04340},
  year   = {2024}
}

Comments

Appears in the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024

R2 v1 2026-06-28T08:09:06.222Z