Urban Carbon Metabolism Optimization Based on a Source–Sink–Flow Framework at the Functional Zone Scale

Cui Wang, Liuchang Xu, Xingyu Xue () and Xinyu Zheng ()
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Cui Wang: College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Liuchang Xu: College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Xingyu Xue: College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Xinyu Zheng: College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China

Land, 2025, vol. 14, issue 8, 1-18

Abstract: Carbon flow tracking and spatial pattern optimization at the scale of urban functional zones are key scientific challenges in achieving carbon neutrality. However, due to the complexity of carbon metabolism processes within urban functional zones, related studies remain limited. To address these scientific challenges, this study, based on the “source–sink–flow” ecosystem services framework, develops an integrated analytical approach at the scale of urban functional zones. The carbon balance is quantified using the CASA model in combination with multi-source data. A network model is employed to trace carbon flow pathways, identify critical nodes and interruption points, and optimize the urban spatial pattern through a low-carbon land use structure model. The research results indicate that the overall carbon balance in Hangzhou exhibits a spatial pattern of “deficit in the center and surplus in the periphery.” The main urban area shows a significant carbon deficit and relatively poor connectivity in the carbon flow network. Carbon sequestration services primarily flow from peripheral areas (such as Fuyang and Yuhang) with green spaces and agricultural functional zones toward high-emission residential–commercial and commercial–public functional zones in the central area. However, due to the interruption of multiple carbon flow paths, the overall carbon flow transmission capacity is significantly constrained. Through spatial optimization, some carbon deficit nodes were successfully converted into carbon surplus nodes, and disrupted carbon flow edges were repaired, particularly in the main urban area, where 369 carbon flow edges were restored, resulting in a significant improvement in the overall transmission efficiency of the carbon flow network. The carbon flow visualization and spatial optimization methods proposed in this paper provide a new perspective for urban carbon metabolism analysis and offer theoretical support for low-carbon city planning practices.

Keywords: carbon flow; urban functional zone scale; carbon sequestration services; spatial optimization (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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