1ST READ · THESIS & LIVE CATALOGUE
Research & data
PLUB is built on one claim: a city is made of places people return to, not places that convert. This page is the working out — the research it stands on, the evidence it actually holds, and the size of the gaps in between.
LIVE FIGURES
The data, and how much of it there is
Reading the catalogue…
01 · FRAMEWORK
The question
Ray Oldenburg's The Great Good Place (1989) describes the third place: the café, the library, the bar, the bench that is neither home nor work, where you meet people you did not arrive to meet. Later research — Jeffres, Bracken, Jian & Casey (2009); Mehta & Bosson (2010); Adelfio and colleagues (2020) — measures what those places do for a neighbourhood's social life.
PLUB turns that into a map. It finds the places, scores them with a stated method, and shows the evidence behind every number. What it will not do is quietly fill the gaps. That constraint is the product.
02 · SCORING METHOD
How a place is scored
The Great Good Place index is the average of three ranked signals — access (↦, distance to a rail point), scene (⁘, how many third places are nearby) and character (◇, independence from chains) — each ranked against every other place in the catalogue, plus the third-place traits from the research. Two more signals, work (≋) and notable (✦), are shown but held out of the index: too few places carry them yet to rank fairly.
The work readiness score is a different animal, and it is not a grade. It is the weighted mean of the seven things that would tell you whether you could work somewhere — Wi-Fi, seating, power, noise, long-stay policy, price, step-free access — over the ones that are actually documented. It is published only when at least half the weight is documented, and it always names the dimensions it could not score. A dimension nobody wrote down stays unknown; it is never given a zero.
Each fact carries the kind of evidence behind it: on the map, the venue says, visitors report, or one named person's dated on-site report. The Bridge 1958 is a worked example of the last one.
03 · REFUSALS
What PLUB refuses
- No scraping. No Google, Facebook, Instagram, X or private-group data. Commercial platform fields are published as absent, with the reason.
- No invented geometry. No guessed building heights, no inferred centroids, no street connectivity that the open map does not carry. Unknown buildings stay flat.
- No invented facts. A missing opening hour is missing. A venue is not scored for a Wi-Fi network nobody wrote down.
- No paid places. Nobody has paid to appear here, and nothing in the catalogue is sponsored.
- No private notebook. Your visits, notes and photos stay on your device until you choose to back them up or share them.
04 · PROVENANCE & LICENCES
Sources & licences
Places: OpenStreetMap (ODbL-1.0) and Overture Maps (CDLA-P-2.0). Neighbourhood atmospheres use the Sanzo Wada colour collection, credited digital conversions. Research: Oldenburg (1989); Jeffres, Bracken, Jian & Casey, Applied Research in Quality of Life 4 (2009); Mehta & Bosson, Environment and Behavior 42:6 (2010); Adelfio et al., Applied Spatial Analysis and Policy (2020).