mlsanityData to 7 Oct 2026

Proportional Fairness in Obnoxious Facility Location

arXiv 2301.04340 ↗First posted 11 Jan 2023cs.GT cs.AI cs.MAcited by 3

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Abstract (arXiv)

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-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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 9 of its 45 references that are in the map. First posted on arXiv 11 Jan 2023.

Builds on

9 of 45 references.

References · 9

  1. 2021Mechanism Design for Facility Location Problems: A Surveycited by 16
  2. 2017Fair mixing: the case of dichotomous preferencescited by 14
  3. 2019The Price of Fairness for Indivisible Goodscited by 8
  4. 2021Strategyproof and Proportionally Fair Facility Locationcited by 6
  5. 2021Two-Stage Facility Location Games with Strategic Clients and Facilitiescited by 5
  6. 2021Strategyproof Mechanisms For Group-Fair Facility Location Problemscited by 5
  7. 2014Strategyproof Mechanisms for One-Dimensional Hybrid and Obnoxious Facility Locationcited by 4
  8. 2022Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanismcited by 3
  9. 2020A Probabilistic Approach to Voting, Allocation, Matching, and Coalition Formationcited by 2

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3 papers.