Enhancing Urban Sustainability Through Green Infrastructure: Spatiotemporal Analysis of Green Space and Forest Coverage in Sichuan (2002–2022)
Abstract
:1. Introduction
1.1. Research Background and Significance
1.2. Problem Statement and Research Gap
1.3. Research Objectives and Contributions
1.4. The Structure of the Paper
2. Materials and Methods
2.1. Study Area Description
2.2. Data Collection and Sources
2.3. Analytical Methods
3. Results
3.1. Spatiotemporal Trends of Green Space and Forest Coverage
3.2. The Relationship Between Urbanisation and Green Infrastructure
3.3. Ecological and Carbon Sequestration Impacts
3.4. Comparative Analysis of Urban vs. Rural Areas
4. Discussion
4.1. Implications for Sustainable Urban Planning
4.2. Policy Interventions and Green Infrastructure Strategies
4.3. Comparison with International Case Studies
4.4. Limitations and Future Research Directions
5. Conclusions
5.1. Summary of Key Findings
5.2. Policy Recommendations
5.3. Implications for Climate Resilience and Carbon Neutrality
5.4. Future Research Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | Description | Source |
---|---|---|
Forest Coverage (%) | Percentage of land covered by forests in Sichuan Province | National Forestry Database |
Urban Green Space Rate (%) | Proportion of urban areas covered by green space | China Urban Construction Database |
Population Density (people/km2) | Number of people per square kilometre in Sichuan Province | |
Urban Area (km2) | Total built-up area in Sichuan Province |
Method | Strengths | Limitations | Suitability for This Study |
---|---|---|---|
NDVI + GIS | High spatiotemporal consistency; well-validated vegetation indicator | Limited in detecting species diversity or vertical structure | Long-term landscape change tracking |
OLS Regression | Simple and interpretable; baseline for linear relationships | Ignores spatial heterogeneity | Preliminary association analysis |
GWR | Captures spatial variation in relationships; local modelling | Computationally intensive; sensitive to bandwidth choice | Uncover localised urban green dynamics |
Random Forest (RF) | High predictive accuracy; handles nonlinearities | Black-box nature; lacks spatial interpretability | Less suitable for spatially explicit policy implications |
Support Vector Machine (SVM) | Good with high-dimensional data; robust classification | Requires kernel tuning; weak in spatiotemporal explanation | Not ideal for urban pattern explanation |
Deep Learning (e.g., CNNs) | Extracts complex features from large imagery datasets | Requires large labelled datasets; low interpretability | Overkill for limited variable analysis |
Policy Area | Key Measures | Goals | Challenges |
---|---|---|---|
Urban Green Space Planning | Green space system, park expansion | Increase green space, improve urban ecology | Land conflicts, rapid urbanisation |
Forest Protection and Restoration | Forest protection, reforestation, Grain for Green Programme | Restore forests, protect biodiversity | Funding, illegal logging |
Ecological Protection Zones | Ecological red lines, no-development zones | Protect ecosystems, biodiversity hotspots | Balancing development, enforcement |
Green Building and Low-Carbon Cities | Green building standards, sustainable urban design | Reduce emissions, promote sustainability | High costs, limited awareness |
Public Participation and Awareness | Ecological education, community engagement in green space management | Raise awareness, increase participation | Limited outreach, public reluctance |
Key Area | Findings |
---|---|
Urban Green Space Changes | Urban green space coverage increased in some cities but declined in high-density urban centres due to rapid urban expansion. |
Forest Coverage Trends | Overall forest coverage fluctuated, with noticeable afforestation efforts but losses in peri-urban areas due to development. |
Urbanisation Impact | Urban expansion led to a decline in green space and fragmented forest areas, particularly in rapidly growing cities. |
Policy and Management Gaps | Existing policies support green space expansion, but enforcement challenges remain, particularly in balancing economic development and conservation. |
Sustainability Considerations | Climate change and urban heat island effects highlight the need for stronger green infrastructure and adaptive planning measures. |
City | Forest Coverage (%) 2002 | Forest Coverage (%) 2022 | Change (%) | Green Space per Capita (m2) 2002 | Green Space per Capita (m2) 2022 | Change (m2) |
---|---|---|---|---|---|---|
Chengdu | 36.5 | 40.2 | 3.7 | 9 | 14.5 | +5.5 |
Mianyang | 38 | 41 | 3 | 8.5 | 13 | +4.5 |
Zigong | 35 | 38.5 | 3.5 | 7.8 | 12 | +4.2 |
Panzhihua | 34 | 37.5 | 3.5 | 8 | 12.5 | +4.5 |
Deyang | 36 | 39.5 | 3.5 | 8.2 | 13 | +4.8 |
Research Focus | Description |
---|---|
Remote Sensing and GIS Analysis | Utilise advanced spatial analysis tools to track real-time changes in green space and forest coverage. |
Carbon Sequestration and Climate Impact | Assess the role of urban green spaces and forests in mitigating carbon emissions and climate change. |
Comparative Policy Analysis | Study green space policies across different cities and regions for best practices and effectiveness. |
Biodiversity and Ecosystem Services | Examine how urban forests and green spaces contribute to biodiversity conservation and ecosystem benefits. |
Public Participation and Urban Planning | Investigate community engagement strategies in urban green space management and decision-making. |
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Xiao, L.; Mokhtar, N.A.; Sulaiman, M.K.A.M.; Khalit, N.A. Enhancing Urban Sustainability Through Green Infrastructure: Spatiotemporal Analysis of Green Space and Forest Coverage in Sichuan (2002–2022). Sustainability 2025, 17, 5135. https://doi.org/10.3390/su17115135
Xiao L, Mokhtar NA, Sulaiman MKAM, Khalit NA. Enhancing Urban Sustainability Through Green Infrastructure: Spatiotemporal Analysis of Green Space and Forest Coverage in Sichuan (2002–2022). Sustainability. 2025; 17(11):5135. https://doi.org/10.3390/su17115135
Chicago/Turabian StyleXiao, Lin, Noor Aisyah Mokhtar, Mohd Khairul Azhar Mat Sulaiman, and Nur Athirah Khalit. 2025. "Enhancing Urban Sustainability Through Green Infrastructure: Spatiotemporal Analysis of Green Space and Forest Coverage in Sichuan (2002–2022)" Sustainability 17, no. 11: 5135. https://doi.org/10.3390/su17115135
APA StyleXiao, L., Mokhtar, N. A., Sulaiman, M. K. A. M., & Khalit, N. A. (2025). Enhancing Urban Sustainability Through Green Infrastructure: Spatiotemporal Analysis of Green Space and Forest Coverage in Sichuan (2002–2022). Sustainability, 17(11), 5135. https://doi.org/10.3390/su17115135