Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China
Abstract
:1. Introduction
2. Methods
2.1. Study Area
2.2. Basic Data Acquisition and Processing
2.3. Graph Analyses
2.4. Concept Planning and Drawing
2.4.1. Conceptual Planning of a Green Complex Guided by Coordinated Development
2.4.2. Conceptual Planning of a Green Ecological Corridor Guided by Ecological Stability
2.4.3. Conceptual Planning of a Greenway Network Guided by Roadside Landscape Integration
2.4.4. Conceptual Planning of a Blue-Green Ecological Network Guided by Watershed Restoration
2.4.5. Conceptual Planning of a Green Ventilation Corridor Guided by Climate Improvement
3. Results
3.1. Green Complex Construction Guided by Coordinated Development
3.2. Green Ecological Corridor Construction Guided by Ecological Stability
3.3. Greenway Network Construction Guided by Roadside Landscape Integration
3.4. Blue-Green Ecological Network Construction Guided by Watershed Restoration
3.5. Green Ventilation Corridor Construction Guided by Climate Improvement
3.6. Final Regional Green-Space Structure of Zhengzhou
4. Discussion
4.1. Multidisciplinary Perspective in Green-Space Structure Planning
4.2. Contribution to Theory
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Name | Code | New Name | New Code | Proportion (%) | |
---|---|---|---|---|---|
Cropland | 10 | merged to | Cropland | 1 | 49.69 |
Forest | 20 | Green space | 2 | 20.69 | |
Grassland | 30 | ||||
Shrubland | 40 | ||||
Wetland | 50 | ||||
Water | 60 | Water | 3 | 1.48 | |
Impervious surface | 80 | Impervious surface | 4 | 27.45 | |
Bareland | 90 | Bareland | 5 | 0.69 |
Metric | Ecological Meaning | Computing Level | Node and Formula |
---|---|---|---|
Probability of connectivity [34] | The probability that two points randomly placed in the study area are connected. | Global | |
Node degree [35] | The number of edges connected to the node iie; number of patches connected directly to the patch i. | Local | |
Betweenness centrality index [19,36] | Sum of the shortest paths through the focal patch i: Each path is weighted by the product of the capacities of the patches connected and of their interaction probability. Pjk represents all of the patches crossed by the shortest path between the patches j and k. | Local | j, k ∈ {1..n}, k < j, i ∈ Pjk |
Closeness centrality [22,35] | Mean distance from the patch i to all other patches of its component k. | Local |
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Mu, B.; Liu, C.; Tian, G.; Xu, Y.; Zhang, Y.; Mayer, A.L.; Lv, R.; He, R.; Kim, G. Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China. Sustainability 2020, 12, 2863. https://doi.org/10.3390/su12072863
Mu B, Liu C, Tian G, Xu Y, Zhang Y, Mayer AL, Lv R, He R, Kim G. Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China. Sustainability. 2020; 12(7):2863. https://doi.org/10.3390/su12072863
Chicago/Turabian StyleMu, Bo, Chang Liu, Guohang Tian, Yaqiong Xu, Yali Zhang, Audrey L. Mayer, Rui Lv, Ruizhen He, and Gunwoo Kim. 2020. "Conceptual Planning of Urban–Rural Green Space from a Multidimensional Perspective: A Case Study of Zhengzhou, China" Sustainability 12, no. 7: 2863. https://doi.org/10.3390/su12072863