“Clearer” or More “Blurred”? The Evolution of Urban–Rural Boundaries Since the Proposal of Urban–Rural Integrated Development: A Case Study of Zhengzhou

As China’s urban–rural integrated development strategy advances, traditional urban–rural boundaries are undergoing rapid restructuring. However, it remains unclear whether these boundaries are becoming distinct through factor flow or blurring due to urban–rural functional coupling. To address this, this study examines the dynamic evolution of boundaries across three core dimensions—population, land, and function—to evaluate the efficacy of integration. We employ the Land Continuity Index, POI Diversity Index, and Gaussian Smoothing Index to characterize transitions in land use structure, spatial functional complexity, and population gradients, respectively. Additionally, a comprehensive Urban–Rural Fuzziness Index (URFI) is developed to quantify boundary blurring trends. Results indicate that Zhengzhou’s urban–rural boundaries exhibit a sustained weakening trend. Notably, changes in functional and population dimensions significantly outpace the land dimension, identifying functional urbanization and population mobility as the primary drivers of this blurring. Consequently, the URFI serves as a robust indicator of integration effectiveness. Overall, boundary blurring is not merely an external manifestation of urban expansion but a profound outcome of factor reorganization, spatial optimization, and the reshaping of urban–rural relationships. This study provides a novel quantitative tool for assessing policy effectiveness, offering both theoretical insights and practical implications for understanding urban–rural integrated development.

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Publication Details

Journal
Land
Published
2026-01-21
DOI
https://doi.org/10.3390/land15010195
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

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article

“Clearer” or More “Blurred”? The Evolution of Urban–Rural Boundaries Since the Proposal of Urban–Rural Integrated Development: A Case Study of Zhengzhou

Jiaxiang Han, Zhiming Dai, Rongrong Zhang, Yanan Sun et al.
Land
Land Use and Ecosystem Services
article

“Clearer” or More “Blurred”? The Evolution of Urban–Rural Boundaries Since the Proposal of Urban–Rural Integrated Development: A Case Study of Zhengzhou

Jiaxiang Han, Zhiming Dai, Rongrong Zhang, Yanan Sun, Guangyu Sun, Jiaqi Fan, Zhongmiao Sun, Shaoyang Zhang
article en

Abstract

As China’s urban–rural integrated development strategy advances, traditional urban–rural boundaries are undergoing rapid restructuring. However, it remains unclear whether these boundaries are becoming distinct through factor flow or blurring due to urban–rural functional coupling. To address this, this study examines the dynamic evolution of boundaries across three core dimensions—population, land, and function—to evaluate the efficacy of integration. We employ the Land Continuity Index, POI Diversity Index, and Gaussian Smoothing Index to characterize transitions in land use structure, spatial functional complexity, and population gradients, respectively. Additionally, a comprehensive Urban–Rural Fuzziness Index (URFI) is developed to quantify boundary blurring trends. Results indicate that Zhengzhou’s urban–rural boundaries exhibit a sustained weakening trend. Notably, changes in functional and population dimensions significantly outpace the land dimension, identifying functional urbanization and population mobility as the primary drivers of this blurring. Consequently, the URFI serves as a robust indicator of integration effectiveness. Overall, boundary blurring is not merely an external manifestation of urban expansion but a profound outcome of factor reorganization, spatial optimization, and the reshaping of urban–rural relationships. This study provides a novel quantitative tool for assessing policy effectiveness, offering both theoretical insights and practical implications for understanding urban–rural integrated development.

LandVol. 15(1)
Zhengzhou University of Light Industry (CN), École Polytechnique Fédérale de Lausanne (CH), Shanghai Maritime University (CN)
National Natural Science Foundation of China, Zhengzhou University of Light Industry, Zhengzhou University, National Social Science Fund of China
Sustainable cities and communities
Openalex Percentile: Top 88%
Land Use and Ecosystem Services
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