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April 1, 2026Remote Sensing2 citationsOpen Access

Spatial Expansion and Driving Mechanisms of the Yangtze River Delta, Based on RF-RFECV Feature Selection and Night-Time Light Remote Sensing Data

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DSDandan ShaoKZKyungjin ZohHLHuiyuan Liu

Key Points

  • To analyze the spatial expansion and driving mechanisms of urbanization in the Yangtze River Delta from 2010 to 2022.
  • Analyzed 41 prefecture-level cities in the Yangtze River Delta
  • Used nighttime light data to compute the Comprehensive Nighttime Light Index (CNLI)
  • Applied random-forest recursive feature elimination with cross-validation (RF-RFECV)
  • Utilized a Shapley additive explanations (SHAP)-based interpretation framework
  • Urbanization in the Yangtze River Delta increased steadily from 2010 to 2022
  • Regional disparities generally converged, though absolute gaps in small and medium-sized cities remain
  • Urbanization exhibited a gradient of higher levels in eastern areas and along rivers
  • The regional spatial structure shifted to a polycentric urban agglomeration system
  • Driving mechanisms evolved from factor-scale expansion to efficiency- and innovation-driven trajectories

Abstract

Rapid urbanization has promoted socioeconomic growth but has exacerbated spatial-structure imbalances. This study investigates 41 prefecture-level cities in the Yangtze River Delta (YRD) from 2010 to 2022. Using nighttime light data, we compute the Comprehensive Nighttime Light Index (CNLI) to track urbanization dynamics and delineate built-up areas. Furthermore, we apply random-forest recursive feature elimination with cross-validation (RF-RFECV) and a Shapley additive explanations (SHAP)-based interpretation framework to quantify the spatiotemporal evolution of urbanization drivers. The results indicate that urbanization in the YRD increased steadily overall during the study period. Shanghai maintained its core leadership, Jiangsu and Zhejiang advanced steadily, and Anhui rapidly caught up driven by regional integration policies. Although regional disparities generally converged, persistent absolute gaps in small and medium-sized cities and inland areas remain a prominent challenge to balanced development. Spatially, urbanization exhibits a gradient differentiation of “higher in the east and lower in the west, and higher along rivers and coasts than inland.” The regional spatial structure gradually shifted from an early “pole-core–belt” pattern to a polycentric and networked urban agglomeration system, with metropolitan areas and economic belts serving as important carriers for promoting spatial balance. Furthermore, built-up areas exhibit a trajectory of “core agglomeration, corridor-oriented expansion, and intensive transition.” The shrinking coverage of the standard deviational ellipse and a slowdown in expansion rates suggest a shift from extensive outward sprawl to more concentrated development. Regarding driving mechanisms, YRD urbanization has evolved from early-stage factor-scale expansion to a later-stage efficiency- and innovation-driven trajectory. While population density remained the dominant driver, early-stage reliance on transport infrastructure and fiscal decentralization was largely replaced by the strengthening effects of per capita output and green innovation. Overall, these findings provide empirical evidence for optimizing spatial patterns and designing differentiated policies for high-quality urbanization in the YRD.

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Cite This Study

Shao et al. (2026) studied this question.

synapsesocial.com/papers/69ccb5f716edfba7beb87b55https://doi.org/10.3390/rs18071033
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