ArticleScientific reports2025
Formation characteristics and decentralization analysis of post-urban agglomerations from the perspective of spatial reshaping: a case study of the great lakes urban agglomeration.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Over the past two decades, academic research on urban agglomerations has gradually declined, primarily due to the stabilization of their spatial configurations and the diminishing role of agglomeration effects in driving overall economic growth. Amid the ongoing transition from information technology to artificial intelligence (AI), this paper examines the spatial correlation between population growth and rising median individual income within the Great Lakes urban agglomeration, with a perspective of spatial reshaping. The findings reveal a shift toward decentralization in the spatial structure of the urban agglomeration following the U.S. financial crisis, a transformation that has contributed to economic recovery. This decentralization is attributed to AI-driven changes in work patterns, which have reduced residents' dependence on spatial agglomeration. Accordingly, the paper introduces the concept of the "post-urban agglomeration," aiming to uncover mechanisms that promote equitable development among cities in the emerging era of AI.
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