Author
Listed:
- Pengcheng Liu
(School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Zhenjiang Planning Survey and Design Group Co., Ltd., Zhenjiang 212002, China)
- Cheng Lei
(School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China)
- Haobing Wang
(School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China)
- Junxue Zhang
(School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China)
- Sisi Xia
(School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China)
- Jun Cao
(School of Architecture, Southeast University, Nanjing 210096, China)
Abstract
(1) Background: Under the dual pressures of global climate change and rapid urbanization, blue–green infrastructure as a nature-based solution is crucial for enhancing urban sustainability. However, there is still a significant cognitive gap regarding the synergy mechanism between its blue and green components and its nonlinear combined impact on sustainability. (2) Method: To fill this gap, this study takes Zhenjiang, a national sponge pilot city in China, as a case and constructs a comprehensive assessment framework. The framework combines multi-source spatio-temporal big data (remote sensing images, point of interest data, mobile phone signaling data) with spatial analysis techniques (geodetectors, Getis-Ord Gi*) to quantify the synergistic effects of blue–green infrastructure on environmental, economic, and social sustainability. (3) Results: The main findings include the following: (1) urban sustainability presents a spatial differentiation pattern of “high in the center, low in the periphery, and multi-core”, and there is a significant positive spatial correlation with the distribution of blue–green infrastructure. (2) The economic dimension, especially daytime population vitality, contributes the most to overall sustainability. (3) Crucially, the co-configuration of sponge facility density and park facility density was identified as the most influential driving mechanism (q = 0.698). In addition, the interaction between the blue infrastructure and the green sponge facilities showed obvious nonlinear enhancement characteristics. Based on spatial matching analysis, the study area was divided into three priority intervention zones: high, medium, and low. (4) Conclusions: This study confirms that it is crucial to view blue–green infrastructure as an interrelated collaborative system. The findings deepen the theoretical understanding of the synergistic empowerment mechanism of blue–green infrastructure and provide scientifically based and actionable policy support for the precise planning of ecological spaces in high-density urbanized areas.
Suggested Citation
Pengcheng Liu & Cheng Lei & Haobing Wang & Junxue Zhang & Sisi Xia & Jun Cao, 2026.
"Driving Mechanisms of Blue–Green Infrastructure in Enhancing Urban Sustainability: A Spatial–Temporal Assessment from Zhenjiang, China,"
Land, MDPI, vol. 15(2), pages 1-30, January.
Handle:
RePEc:gam:jlands:v:15:y:2026:i:2:p:233-:d:1851841
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