Regulating Urban Functional Shrinkage in Chinese Cities Through Morphological Optimization: A Multi‐Model Framework

Abstract

ABSTRACT Urban functional shrinkage has emerged as a critical challenge in Chinese cities, necessitating innovative management approaches. This study proposes a multi‐model framework that addresses urban shrinkage through morphological optimization, offering a novel perspective on shrinkage governance. The framework integrates multiple analytical models to identify key morphological factors and optimize their combinations. Applied to 277 Chinese cities, our analysis reveals: First, functional shrinkage is widespread, with an average shrinkage ratio of 8.31%, showing an east‐low and west‐high pattern. Second, from 12 morphological indicators, seven key factors significantly influence shrinkage. Through optimization of three critical factors—landscape shape index (LSI), global landscape expansion index (GLEI), and largest patch index (LPI) ‐ the average shrinkage ratio could decrease to 6.97%. Third, comparative analysis leads to the classification of cities into eight groups, each with distinct optimization strategies. The study contributes by: (1) establishing a practical framework for managing urban shrinkage through morphological optimization; (2) quantifying morphology‐shrinkage relationships; and (3) providing targeted planning recommendations. This research demonstrates how morphological optimization can effectively complement traditional shrinkage management approaches in Chinese cities.

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