Digital Blue Foam
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Digital Blue Foam


Designing the 15 Minute City with AirBnB Reviews and Semantic AI

How Semantic AI helps city designers move beyond the objective data to draw insights from experiential data sources.

Image by Author

Semantic AI

Towards Semantic Neighborhood Design

Case Studies: AirBnB and the 15 Minute City

User Interface (UI) of Airbnb’s platform, showing the details of listings, which could help users summarize a neighborhood. Image Source : Airbnb
Model Pipeline showing the process of converting merged text data into meaningful summarized paragraph. Image by Author
Kallang, the centrally located popular neighborhood, has the most Airbnb listings and reviews in Singapore. Image by Author
The summarized information about the Novena neighborhood, Singapore, displayed on the Map page of the web-based DBF tool. Image by Author

How this Helps City Designers

We believe these insights will help city designers choose the right building type and functions to enhance a particular location.

Geolocated text data (user reviews) can also be retrieved from various other open-source resources and platforms. Image by Author




Digital Blue Foam is a Singapore-based company that has created an eponymous software that hunts, gathers and computes contextual data such as climate, program and urban networks to determine the right building configuration.

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Rutvik Deshpande

Cities, Data & Machine Learning. ML Design Engineer @DigitalBlueFoam. Accelerating the transition to better cities