Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China
Abstract
:1. Introduction
2. Study Area and Data
2.1. Study Area
2.2. Data Sources
3. Methods
3.1. AHP-CV Combined Weight
3.2. UGS Suitability Evaluation Model
3.2.1. The Evaluation Index System
3.2.2. The Classification Criteria for the Evaluation Factors
3.2.3. GIS Analysis and Processing of the Evaluation Index Data
- (1)
- DEM data processing: The DEM data were downloaded from the Geospatial Data Cloud, and the evaluation and slope were obtained from the surface analysis tool in ArcGIS10.5.
- (2)
- Extract remote sensing image data: After preprocessing the remote sensing images, the existing land use classifications were obtained through the integration of supervised classification and field investigation. The NDVI was derived from the processing of remote sensing image multi-spectral images [50], and the heat island effect was obtained from an algorithm that was applied to retrieve the land surface temperature (LST) distribution from the Landsat8 data [51].
- (3)
- GIS buffer analysis data: Using the classification criteria of the evaluation factor, the different distances of the buffer were established for the pollution sources, significant infrastructure, road traffic, water area and other factors.
3.2.4. Evaluation Index Weight Calculation
3.2.5. UGS Suitability Evaluation Model
4. Results
4.1. Fuping County Green Space Suitability Evaluation Results
4.2. Spatial Layout Optimization of the Green Space System in Fuping County
5. Discussion
5.1. AHP-CV Combined Weight of UGS Suitability Evaluation
5.2. Contributions to the Literature
5.3. Limitations of the Results
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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No. | Criteria | Sub-Criteria | Description |
---|---|---|---|
1 | Human activities (X1) | Existing land use (X11) | Reflects the ecological value of land resources |
2 | Pollution source (X12) | Reflects the degree of pollution impact on the region | |
3 | Significant infrastructure (X13) | Characterization of significant infrastructure requires greenbelt isolation | |
4 | Road traffic (X14) | Characterizes the basic conditions of green traffic corridors | |
5 | Historical sites (X2) | Ancient and famous trees (X21) | Reflects the ecological protection value of ancient and famous trees |
6 | Tourism resources (X22) | Reflects the development degree of regional tourism resources | |
7 | Heritage sites (X23) | Reflects the ecological and cultural values of heritage sites | |
8 | Natural landforms (X3) | Water area (X31) | Factors that reflect the conditions of regional water resources and maintenance of the ecological balance |
9 | Slope (X32) | Reflects the degree of impact on vegetation distribution | |
10 | Elevation (X33) | Reflects the degree of impact on living creatures | |
11 | Heat island effect (X34) | Reflects the influence of regional temperature differences on vegetation | |
12 | Geological disasters (X35) | Reflects the stability of the development of green space by geological disasters | |
13 | Biological protection (X4) | Ecological patches (X41) | Reflects the degree of biological diversity |
14 | NDVI (X42) | Reflects the growth of green vegetation |
Criteria | Sub-Criteria | Layer Classification (Suitability) | ||||
---|---|---|---|---|---|---|
5 | 4 | 3 | 2 | 1 | ||
Human activities (X1) | Existing land use (X11) | Forest, water | Green space | Agricultural land | – | Construction land |
Pollution source (X12) | <300 m | – | 300–500 m | 500–1000 m | >1000 m | |
Significant infrastructure (X13) | <40 m | – | 40–80 m | 80–200 m | >200 m | |
Road traffic (X14) | <50 m | – | 50–100 m | 100–200 m | >200 m | |
Historical sites (X2) | Ancient and famous trees (X21) | <30 m | – | 30–50 m | 50–100 m | >100 m |
Tourism resources (X22) | <500 m | 500–1000 m | 1000–2000 m | 2000–5000 m | >5000 m | |
Heritage sites (X23) | Heritage site | < 500 m | 500–1000 m | – | >1000 m | |
Natural landforms (X3) | Water area (X31) | Water | < 100 m | 100–300 m | 300–500 m | >500 m |
Slope (X32) | >20° | 15–20° | 10–15° | 5–10° | <5° | |
Elevation (X33) | >1000 m | 800–1000 m | 600–800 m | 400–600 m | <400 m | |
Heat island effect (X34) | Below the average temperature 4 degrees | Below the average temperature 4–3 degrees | Below the average temperature 3–2 degrees | Below the average temperature 2–1 degrees | Other | |
Geological disasters (X35) | Geological disaster area | >20 m | 20–40 m | 40–80 m | >80 m | |
Biological protection (X4) | Ecological patches (X41) | Ecological patches | >300 m | 300–500 m | 500–1000 m | >1000 m |
NDVI (X42) | NDVI > 0.3 | 0.2 < NDVI < 0.3 | 0.1 < NDVI < 0.2 | 0 < NDVI < 0.1 | NDVI < 0 |
Code | Evaluation Factor | AHP Weight | AHP Weight Ranking | CV Weight | CV Weight Ranking | Combined Weight | Combined Weight Ranking |
---|---|---|---|---|---|---|---|
X11 | Existing land use | 0.0302 | 11 | 0.0858 | 3 | 0.0568 | 8 |
X12 | Pollution source | 0.0174 | 14 | 0.0585 | 7 | 0.0356 | 14 |
X13 | Significant infrastructure | 0.0325 | 10 | 0.0534 | 9 | 0.0465 | 10 |
X14 | Road traffic | 0.0649 | 5 | 0.0469 | 11 | 0.0616 | 7 |
X21 | Ancient and famous trees | 0.0239 | 12 | 0.0541 | 8 | 0.0401 | 13 |
X22 | Tourism resources | 0.0477 | 7 | 0.0927 | 2 | 0.0742 | 4 |
X23 | Heritage sites | 0.0239 | 13 | 0.0639 | 5 | 0.0436 | 12 |
X31 | Water area | 0.1521 | 2 | 0.0398 | 13 | 0.0869 | 3 |
X32 | Slope | 0.0427 | 9 | 0.0588 | 6 | 0.0559 | 9 |
X33 | Elevation | 0.0519 | 6 | 0.0751 | 4 | 0.0697 | 5 |
X34 | Heat island effect | 0.0743 | 4 | 0.0502 | 10 | 0.0681 | 6 |
X35 | Geological disasters | 0.0452 | 8 | 0.0375 | 14 | 0.0459 | 11 |
X41 | Ecological patches | 0.2622 | 1 | 0.0414 | 12 | 0.1163 | 2 |
X42 | NDVI | 0.1311 | 3 | 0.2419 | 1 | 0.1987 | 1 |
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Li, Z.; Fan, Z.; Shen, S. Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China. Sustainability 2018, 10, 2656. https://doi.org/10.3390/su10082656
Li Z, Fan Z, Shen S. Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China. Sustainability. 2018; 10(8):2656. https://doi.org/10.3390/su10082656
Chicago/Turabian StyleLi, Zhiming, Zhengxi Fan, and Shiguang Shen. 2018. "Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China" Sustainability 10, no. 8: 2656. https://doi.org/10.3390/su10082656
APA StyleLi, Z., Fan, Z., & Shen, S. (2018). Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China. Sustainability, 10(8), 2656. https://doi.org/10.3390/su10082656