Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network

Published: 01 Jan 2025, Last Modified: 12 May 2025Comput. Environ. Urban Syst. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Complex urban forms are accurately symbolized with an explicable core morphology representation.•High-order links between urban form and function are revealed by interpreting deep neural network.•Morphological form is the key to utilizing urban functions as it affects land use efficiency.•Residential core forms follow a center-urban-suburban transition, proving Alonso's theory.
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