Spatio-Temporal Coupling Coordination and Driving Mechanism of Urban Pseudo and Reality Human Settlements in the Coastal Cities of China

The accelerated development of digital technologies during the 21st century has intensified requirements for Human Settlements (HS) infrastructure advancement in China’s maritime urban centers, driven by national objectives to forge a cohesive, technologically integrated state framework. This transformation has changed people’s work, learning, and entertainment patterns, leading to the rise in complex networks of pseudo human settlements (PHS). Traditional approaches to environmental research are insufficient for understanding the interactions between PHS and reality human settlements (RHS), which are interdependent and shape urban development. This study utilizes advanced methods such as the entropy weight method to determine indicator weights, the coupling coordination degree model to quantify the interaction intensity, the geo-detector to identify driving factors, and ArcGIS for spatial analysis to assess the interaction between PHS and RHS in 53 coastal cities from 2011 to 2022. The results show: (1) The coupling coordination degree rose initially but later declined, reflecting temporal differentiation; (2) The coordination of settlements varies across regions; (3) A migration trend from the northeast to southwest, with faster coordination improvement in the southwest; (4) Socio-economic development drives the coupling coordination, with big data technology enhancing the relationship. The findings guide sustainable urban development in coastal cities.

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Publication Details

Journal
Land
Published
2025-10-17
DOI
https://doi.org/10.3390/land14102081
Citations
1
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
1.11
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article

Spatio-Temporal Coupling Coordination and Driving Mechanism of Urban Pseudo and Reality Human Settlements in the Coastal Cities of China

Meishuo Du, Xueming Li, Linlin Feng, Shenzhen Tian
1 citations
Land
Land Use and Ecosystem Services
1.11
article

Spatio-Temporal Coupling Coordination and Driving Mechanism of Urban Pseudo and Reality Human Settlements in the Coastal Cities of China

Meishuo Du, Xueming Li, Linlin Feng, Shenzhen Tian
article en
1 citations

Abstract

The accelerated development of digital technologies during the 21st century has intensified requirements for Human Settlements (HS) infrastructure advancement in China’s maritime urban centers, driven by national objectives to forge a cohesive, technologically integrated state framework. This transformation has changed people’s work, learning, and entertainment patterns, leading to the rise in complex networks of pseudo human settlements (PHS). Traditional approaches to environmental research are insufficient for understanding the interactions between PHS and reality human settlements (RHS), which are interdependent and shape urban development. This study utilizes advanced methods such as the entropy weight method to determine indicator weights, the coupling coordination degree model to quantify the interaction intensity, the geo-detector to identify driving factors, and ArcGIS for spatial analysis to assess the interaction between PHS and RHS in 53 coastal cities from 2011 to 2022. The results show: (1) The coupling coordination degree rose initially but later declined, reflecting temporal differentiation; (2) The coordination of settlements varies across regions; (3) A migration trend from the northeast to southwest, with faster coordination improvement in the southwest; (4) Socio-economic development drives the coupling coordination, with big data technology enhancing the relationship. The findings guide sustainable urban development in coastal cities.

LandVol. 14(10)
Liaoning Normal University (CN)
Openalex Percentile: Top 19%
Land Use and Ecosystem Services
1.11
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Spatio-Temporal Coupling Coordination and Driving Mechanism of Urban Pseudo and Reality Human Settlements in the Coastal Cities of China — Meishuo Du, Xueming Li, et al. · Land (2025) | TGRS Research Map | TGRS