Adaptive Capacity Explorer

This interactive interface is part of macro level project of Horizon Aviation 2050 by Meta Design Lab ( at Singapore University of Technology and Design (SUTD) Singapore.

World's top 1500 airports are procedurally analyzed to understand spatial and macro parameters like land use, passenger traffic and city-airport distance. The collective analyses will be used towards exploring an "Adaptive Capacity" for airports based on the land constraint in their surrounding urban fabric This analysis will help city and airport planners to make more informed future planning decisions, by understanding how well they can "adapt" to future spatial and urban pressures in the form of economic development (urbanisation) and environment.

How to use:

The 4 maps below are interactive and support mouse controls. To make a selection, click and drag through any of the 4 maps. This will filter world's top 1500 airports based on the user selection automatically on all the other maps. The current selection is updated with the preview images of airports along with their 3 letter (IATA) code in the bottom. Additionally, use the control panel to refine search parameters such as filtering airports by their Annual Passenger Traffic (2018 footfall), grouping by Country, Continent and Sub Continental zone (UN Classification) or even by manually entering 3 letter IATA codes seperated by commas (press enter after keying IATA codes).

From left (clockwise): Map of airports as a treemap; Scatterplot of Urbanisation and passenger traffic; Map of airports coloured according to their adaptiveness and scatterplot of airports by their distance to their CBD (in kms). Selecting on one map (or plot) will update the overall selection in all other plots accordingly.


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Land use around the airport

Land use vs Passenger Footfall (2018 Log)

Map of airports according to their Adaptiveness

Land use vs Distance to City (kms)

Selected Airports