BetaFairWhere is in beta. Plans currently work for London only · more cities later.

Research · London beta · Status: preview

London Journey Fairness Index

How journey burden falls when people from different London neighbourhoods meet — built from FairWhere's area-pair matrix, not crow-flies midpoints.

Curated areas

24

Unordered pair capacity

276

Preview pairs on this page

2

The Index is the research sibling of the meet-pair content factory ( /meet/{a}/{b}). Factory cadence is two drafts/day with human Approve; the Index publishes once as a durable page plus CSV when the matrix is stable.

What the Index measures

Area × area, not pin × pin

Each origin is a neighbourhood represented by its primary station — Clapham Common, Walthamstow Central — so the index answers how people search (“where should we meet between…”) without storing home addresses.

Same matrix as meet-pair pages

The content factory writes crawlable /meet/{a}/{b} pages from this precompute. The Fairness Index is the research sibling: one durable page (plus CSV) that summarises burden patterns across the matrix — not 2 pages/day.

Fairness gap, not crow-flies

Primary signal is the gap between the two door-to-door estimates to the winning venue, plus FairWhere Score balance. Midpoint geometry is deliberately ignored.

Human publish for trust

Pair pages stay draft until admin Approve. The first Index CSV will ship the same way: no silent live edits when a winner flips — refresh → review → publish.

Preview pairs from the content factory

Same precompute that will back the Index. Drafts stay private until Approve — paths appear here only when live.

Clapham × Walthamstow

draft · score 82

Fairest shortlist winner: The Gun, Spitalfields47 min vs 48 min (gap 1).

Opposite-side pair: East-of-centre pub balances Northern + Overground vs Northern + Victoria.

Public /meet URL after admin Approve

Brixton × Stratford

draft · score 85

Fairest shortlist winner: The Crown Tavern44 min vs 45 min (gap 1).

South × East: fairest shortlist clusters around Clerkenwell / City fringe, not the geographic midpoint.

Public /meet URL after admin Approve

Roadmap to CSV

  1. Now

    Framing + preview pairs

    This page, methodology anchors, and sample pairs from the meet-pair factory while drafts await Approve.

  2. Next

    Stable matrix artefacts

    Nightly job writes full A×B winner + gap minutes for the curated area set (and expands beyond the editorial seed once organic volume ≥ 10 plans/day).

  3. Then

    Published Index + CSV

    Versioned London Journey Fairness Index with downloadable CSV (areaA, areaB, winner, minutes, gap, score, computedAt) and Dataset JSON-LD.

Planned CSV columns: areaA, areaB, stationA, stationB, winner, minutesA, minutesB, gapMinutes, score, computedAt, provider. Download link appears here on first publish — not before.

Frequently asked questions

What is the London Journey Fairness Index?
A FairWhere research view of how journey burden falls when people from different London neighbourhoods meet. It uses the same area-pair travel-time matrix as FairWhere’s meet-between pages — not geographic midpoints.
How is this different from “meet in the middle”?
Meet-in-the-middle optimises for crow-flies centre. The Index reports the fairest venues and the minute gap between two origins on real transit estimates, so opposite sides of town often meet east or west of the map midpoint.
Where does the data come from?
From FairWhere’s meet-pair precompute: curated neighbourhood stations, candidate Placelist venues, and FairPath (or a published heuristic while FairPath rolls out). Organic plan volume reorders which pairs are computed next once volume is meaningful — never founder-testing alone.
Can I download the data?
A versioned CSV is planned for the first published Index release. Until then this page shows methodology and preview pairs only.
Is this navigation advice?
No. Times are planning estimates for comparing venues fairly. Always check live TfL or your usual app before you travel.