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Building the Creative Index
Developing an Area Evaluation Metric

Turning the "interesting neighborhood" — until now describable only by feel —
into a metric.
This project is presented with the co-development partners' company names withheld, in accordance with our agreement
PARTNER
Co-developed with a general contractor and a location-data provider
LOCATION
Fukuoka City
YEAR
2026 — ongoing
SCOPE
Metric design/Data analysis & algorithm development/API and service concept design
01 Background

Room to breathe makes activity diverse.
Diversity is what draws people in.

What makes a neighborhood creative? We define it as a place where diverse commercial activity is underway, and where businesses prioritize atmosphere, product, and distinctive experience over turnover — with that priority itself becoming the added value.

Such neighborhoods grow under certain conditions: commercialization that hasn't gone too far, rents that stay modest, a street that's enjoyable to walk and full of variety, and customers willing to travel from far away to visit. This overlaps with research our CEO has continued at Kyushu University Graduate School, on how independent shops and creators cluster together. Until now, though, these neighborhoods could only be identified by feel. So that creative businesses can choose, with evidence, a neighborhood where they can thrive — building a metric that reflects that research is where this joint development starts.

02 Designing the metric

Turning "it just feels good"
into something data can pinpoint.

Creative areas share a structure that data can capture: they're commercial districts; they contain micro-complexes where small shops cluster together; commercialization hasn't gone so far that residential and commercial uses no longer coexist; and activity is diverse — buying, eating, drinking, viewing, expressing, and more.

Every area moves through stages —
from empty, to mature, to saturated.

Behind the metric is the idea of an area's stage of maturity. When commercial density is too low, little activity emerges; when it goes too far, rising rents drive out diversity. Creative shop owners cluster in the band in between — mature, but still in balance. We determine this stage from the scale of shop clustering and the degree of commercialization, then visualize it on a map by combining open data with URBANIX's own insight and algorithms. Next, we plan to layer in foot-traffic data, bringing the quality of visits — whether young people are coming, whether visitors are traveling from far away — into the evaluation as well.

03 Service concept

Bringing three companies' assets
together into a single API.

This metric is being co-developed by three companies: a general contractor, a location-data provider, and URBANIX. We're designing how it will be delivered — including data integration with URBANIX's own Placebook, interoperability with foot-traffic data, partial display of analysis results, subscriptions, and API access.

An area's "creativity index" has the potential to become shared infrastructure that municipal governments, shop owners, developers, and real-estate brokers all need. A municipality looking for evidence of where to start countering hollowing-out. A shop owner scouting a second or third location. A developer wanting to deliberately engineer the next hotspot. A broker who wants to sell on story rather than compete on specs. The same metric supports every one of those decisions.

04 Where we stand

The metric exists.
Now we grow its accuracy and its implementation.

SOURCE This metric is produced by Urbanix Co., Ltd. using data including the 3D City Model (Project PLATEAU) for Fukuoka City, the Ministry of Health, Labour and Welfare's registry of licensed food and beverage establishments, OpenStreetMap, and other sources. The figure shown is a schematic and does not represent actual analysis results. In accordance with our agreement with the co-development partners, their company names and the details of work in progress are withheld.
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