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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/156551
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| Title: | Research on Evolutionary Path of Land Development System Towards Carbon Neutrality |
| Authors: | 林左裕
Lin, Tso-Yu;Xu, Cong;Shen, Liying |
| Contributors: | 地政系 |
| Keywords: | land development;low-carbon transition;complex system;bifurcation analysis;regulation mechanism |
| Date: | 2025-01 |
| Issue Date: | 2025-04-14 09:50:17 (UTC+8) |
| Abstract: | Based on complex system theory and multi-dimensional coupling analysis paradigm, this study constructs a dynamic model covering land use, real estate development, and carbon emissions, and deeply explores the internal mechanism and evolution law of land development system in the process of moving toward a low-carbon path. Firstly, through nonlinear dynamics and bifurcation analysis, this study identifies three typical transformation paths that the system may experience: gradual, transitional, and hybrid, emphasizing the nonlinear, phased, and highly context-dependent characteristics of the transformation process. On this basis, early warning indicators and robustness analysis methods are introduced, which provide operational tools for identifying critical turning points in the system and improving the effectiveness and resilience of regulatory strategies. Furthermore, this paper proposes a multi-level regulation mechanism design framework, which combines the immediate feedback with the historical cumulative effect to achieve the refined guidance of land development patterns and carbon emission paths. The results provide a scientific basis and practical enlightenment for land use optimization, green infrastructure construction, and industrial structure adjustment under the background of realizing the “3060” dual carbon goal and the reform of territorial spatial planning in China. In the future, it is necessary to strengthen the empirical calibration of parameters, data-driven optimization, and collaborative research of multiple policy tools to further improve the applicability and decision-making reference value of the model. |
| Relation: | Sustainability, Vol.17, No.3, 1099, pp.1-27 |
| Data Type: | article |
| DOI 連結: | https://doi.org/10.3390/su17031099 |
| DOI: | 10.3390/su17031099 |
| Appears in Collections: | [地政學系] 期刊論文
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