Pith. sign in

REVIEW 2 cited by

Fair Railway Network Design

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2409.02152 v1 pith:COXBIGCR submitted 2024-09-03 cs.SI cs.AI

classification cs.SIcs.AI
keywords citiesnetworkcentralcityperipheralsometravelview
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

When designing a public transportation network in a country, one may want to minimise the sum of travel duration of all inhabitants. This corresponds to a purely utilitarian view and does not involve any fairness consideration, as the resulting network will typically benefit the capital city and/or large central cities while leaving some peripheral cities behind. On the other hand, a more egalitarian view will allow some people to travel between peripheral cities without having to go through a central city. We define a model, propose algorithms for computing solution networks, and report on experiments based on real data.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fair Transit Stop Placement: A Clustering Perspective and Beyond

    cs.GT 2026-02 conditional novelty 7.0 of 10

    A new "Expanding Cost" algorithm guarantees a tight (1+√2)-approximation to justified representation for fair transit stop placement in general metric spaces, even with arbitrary transit times.

  2. Fair and Efficient Investment in Public Transportation

    cs.GT 2026-02 conditional novelty 6.0 of 10

    Fair bus-stop placement is NP-hard on a line; upgrading network edges is polynomial for one or two agents but NP-hard and inapproximable with many agents.

Pith tools