Innovation in Comprehensive Transportation Network Planning in the Context of National Spatial Development: Institutional Constraints and Policy Responses
Abstract
:1. Introduction
- Institutional constraints: To analyze how China’s ‘three zones and three lines’ territorial spatial governance system can institutionalize ecological constraints (e.g., EPR veto power) within transportation planning, thereby reconciling infrastructure expansion with land resource sustainability.
- Policy coupling mechanisms: To explore adaptive governance pathways that vertically align national carbon neutrality goals with local land use priorities, focusing on the role of multi-level stakeholder engagement in resolving conflicts between transportation corridors and protected ecological zones.
- Spatial decision support: To demonstrate how geospatial tools (e.g., GIS-based conflict mapping) and polycentric governance models can enhance the transparency and equity of land allocation for transportation projects, particularly in ecologically sensitive regions.
2. Theoretical Framework
2.1. Spatial Governance Theory
2.2. Analytical Dimensions
3. Institutional Impacts of Spatial Planning
3.1. Planning Paradigm Shift
3.2. Decision Making Restructuring
3.3. Resource Allocation Reconfiguration
4. Innovation Frontiers
4.1. Institutional Innovations
4.2. Technological Breakthroughs
- 1.
- Digital twins for dynamic land use simulation. Digital twin platforms synthesize multi-source geospatial data (e.g., EPR boundaries, transportation corridors, land use zoning maps) to simulate real-time interactions between infrastructure expansion and protected areas [44]. For instance, in the Yangtze River Economic Belt, a digital twin model identified 15 high-risk zones where proposed railway routes intersected wetlands designated as EPR. This simulation prompted planners to reroute 32% of the railway network, reducing potential habitat fragmentation by 18%. Data sources for the digital twin models included: (1) EPR boundaries from the Ministry of Natural Resources (2023); (2) Transportation corridor plans from provincial GIS databases; (3) Land use zoning maps at 1:50,000 scale. Spatial conflicts were quantified using the Overlap Analysis Tool of ArcGIS Pro 3.4.3.
- 2.
- AI-Driven conflict detection in multi-plan coordination. Artificial intelligence algorithms are deployed to detect spatial conflicts across planning documents. For example, a system trained on China’s ‘three zones and three lines’ territorial spatial plans analyzed 766 provincial-level transportation projects. The system prioritized conflicts based on ecological sensitivity indices (e.g., species richness, landscape connectivity), enabling policymakers to enforce the ‘ecological veto’ mechanism more efficiently [46]. Data source: provincial transportation departments and the Ministry of Natural Resources.
4.3. Governance Experiments
4.4. Quantitative Analysis of Provincial Conflicts
5. International Comparative Perspectives
5.1. EU Experience: Conflict Management
5.2. Japan’s Compact City Model: Lessons for TOD Integration
6. Conclusions and Policy Pathways
6.1. Key Findings
- Conflict reduction: the implementation of ecological sensitivity veto mechanisms reduced spatial conflicts effectively (e.g., reduced by 18% in the Yangtze River Economic Belt, with rerouting of 32% of railway projects in high-risk zones).
- Spatial trade-offs: a strong negative correlation (R2 = 0.75) exists between ecological protection redline (EPR) coverage and transportation network density, necessitating differentiated governance strategies (e.g., stricter veto enforcement in Yunnan vs. connectivity optimization in Shandong).
6.2. Theoretical Contributions
6.3. Policy Recommendations
6.4. Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Dimension | Ostrom’s Polycentric Governance Theory | Proposed Constraint-Coupling-Innovation Framework | Theoretical Advancement and Land Science Contribution |
---|---|---|---|
Governance Structure | Polycentric decentralization: multiple autonomous decision centers (e.g., communities, local governments) coordinate resource allocation through self-organization. | Multi-level synergy: central policy constraints (e.g., EPR) coupled with local innovations, forming a dynamic ‘vertical constraint–horizontal collaboration’ network. | Introduces rigid ecological thresholds as central constraints, transcending traditional polycentric theory’s ‘equal negotiation’ limitation, better suited to land resource regulation in territorial spatial planning. |
Institutional Constraints | Relies on community consensus and soft rules (e.g., social norms, trust mechanisms). | Legalized rigid constraints via ecological veto power, mandating project compliance with EPR. | Upgrades ecological protection from ‘flexible negotiation’ to institutional veto instruments, resolving power asymmetries in land resource development–conservation conflicts. |
Policy Instruments | Self-governance tools (e.g., community covenants, collective action rules). | Policy coupling tools (e.g., dynamic adjustment between national carbon goals and local land quotas) and technological innovations (digital twins, AI conflict detection). | Integrates vertical policy coordination with horizontal technological empowerment, achieving tripartite ‘institution–technology–data-’ driven land governance. |
Conflict Resolution | Incremental negotiation through repeated games (e.g., common-pool resource management). | Data-driven preemptive conflict identification and rigid intervention (e.g., ecological veto halting projects, supplemented by alternative solutions generation). | Replaces ex-post negotiation with spatial simulation-aided preemption (e.g., GIS overlay analysis), addressing irreversible land development impacts and minimizing ecological damage. |
Application Context | Small-scale common-pool resources (e.g., forests, fisheries) under community self-governance. | Macro-scale territorial governance (e.g., interprovincial transportation networks vs. EPR), emphasizing land multifunctionality (production living–ecological space balance). | Expands beyond Ostrom’s ‘local autonomy’ to provide institutional paradigms for regional composite land use. |
Theoretical Goal | Avoids ‘tragedy of the commons’ through sustainable resource use. | Balances land development (e.g., transport land expansion) and conservation (e.g., ecological protection redline) to achieve spatial justice and intergenerational equity. | Extends land ethics from ‘resource utilization’ to spatial equity (e.g., ecological compensation), addressing normative imperatives in territorial spatial planning. |
Province | Total Projects | Redline Conflicts | Conflict Rate (%) | Resolved Through Ecological Veto | Resolution Rate (%) |
---|---|---|---|---|---|
Yunnan | 185 | 51 | 27.6 | 42 | 82.4 |
Hebei | 176 | 34 | 19.3 | 26 | 76.5 |
Jiangsu | 210 | 22 | 10.5 | 18 | 81.8 |
Shandong | 195 | 29 | 14.9 | 25 | 86.2 |
Total | 766 | 223 | 19.3 | 181 | 81.2 |
Province | EPR Area (104 km2) | Comprehensive Transportation Network Density (104 km/(104 km2)) | Railway Mileage (104 km) | Highway Mileage (104 km) | Inland Waterway Mileage (104 km) | Area (104 km2) |
---|---|---|---|---|---|---|
Yunnan | 11.84 | 0.86 | 0.52 | 32.93 | 0.47 | 39.41 |
Hebei | 4.05 | 1.16 | 0.85 | 21.11 | 0 | 18.88 |
Jiangsu | 1.82 | 1.75 | 0.47 | 15.87 | 2.44 | 10.72 |
Shandong | 2.07 | 1.91 | 0.77 | 29.34 | 0.11 | 15.81 |
Dimension | China | EU | Japan |
---|---|---|---|
Core Tool | EPR | Natura 2000 | TOD zoning |
Governance Mode | Ecological veto | Legal compliance | Market incentives |
Key Challenge | Local–central conflicts | Urban sprawl | Housing affordability |
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Yang, H.; Huang, W.; Yang, D.; Jiang, Y. Innovation in Comprehensive Transportation Network Planning in the Context of National Spatial Development: Institutional Constraints and Policy Responses. Land 2025, 14, 1046. https://doi.org/10.3390/land14051046
Yang H, Huang W, Yang D, Jiang Y. Innovation in Comprehensive Transportation Network Planning in the Context of National Spatial Development: Institutional Constraints and Policy Responses. Land. 2025; 14(5):1046. https://doi.org/10.3390/land14051046
Chicago/Turabian StyleYang, Huanyu, Wei Huang, Dong Yang, and Ying Jiang. 2025. "Innovation in Comprehensive Transportation Network Planning in the Context of National Spatial Development: Institutional Constraints and Policy Responses" Land 14, no. 5: 1046. https://doi.org/10.3390/land14051046
APA StyleYang, H., Huang, W., Yang, D., & Jiang, Y. (2025). Innovation in Comprehensive Transportation Network Planning in the Context of National Spatial Development: Institutional Constraints and Policy Responses. Land, 14(5), 1046. https://doi.org/10.3390/land14051046