Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Area
2.2. Data Sources
2.3. Measures of Urban Resilience
2.3.1. Meaning of Scale-Density-Form in Urban Resilience
2.3.2. Analysis of Scale Resilience
2.3.3. Analysis of Density Resilience
- (1)
- Entropy method
- (2)
- Hierarchical analysis
- (3)
- Combination of entropy method and hierarchical analysis
2.3.4. Analysis of Urban Morphological Resilience
2.3.5. Integrated Urban Resilience Index
3. Results and Analysis
3.1. Scale Resilience
3.2. Density Resilience
3.3. Morphological Resilience
3.4. Comprehensive Analysis of Scale-Density-Morphological Resilience
4. Discussion
5. Conclusions and Recommendations
5.1. Conclusions
5.2. Scale Resilience Regulation Path
5.3. Density Resilience Modulation Pathway
5.4. Morphological Resilience Regulation Path
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Data Categories | Required Data | Source | Years |
---|---|---|---|
Spatial Data | Digital Elevation Model | Geospatial data clouds (http://gscloud.cn) format: 23 March 2022 | 2020 |
Vegetation cover index data | NASA (https://ladsweb.nascom.nasa.gov/) format: 23 March 2022 | 2000/2010/2020 | |
Population density | World Population Dataset (https://www.worldpop.org) format: 25 March 2022 | 2000/2010/2020 | |
Road network data | National road vector data to2020 (https://www.openstreetmap.org/) format: 26 March 2022 | 2020 | |
Land use data | CAS 30 m land (https://www.resdc.cn) format: 18 March 2022 | 2000/2010/2020 | |
Ecological Protection Red Line | Courtesy of the subject team | 2020 | |
Socioeconomic Data | Total population at end of year | Xinjiang Statistical Yearbook County Statistical Yearbooks (https://navi.cnki.net/) format: 2 April 2022 | 2000/2005/2010/2015/2020 |
Number of beds in hospitals and health centers | |||
Number of students in general secondary schools | |||
Number of pupils in primary schools | |||
Gross Domestic Product | |||
Value added of secondary industry | |||
Total retail sales of social consumer goods | |||
Fiscal revenue | |||
Total output value of agriculture, forestry, animal husbandry and fishery |
Assessment Factors | Evaluation Factors | Grading Criteria | |||
---|---|---|---|---|---|
Appropriate Height (4) | Moderate Suitability (3) | Low Suitability (2) | Unsuitable (1) | ||
Natural conditions | Slope | <5° | 5°–15° | 15°–25° | ≥25° |
Elevation | <1757 | 1757–3012 | 3012–4427 | ≥4427 | |
Vegetation Cover Index | <0.0774 | 0.0774–0.1408 | 0.1408–0.2309 | ≥0.2309 | |
Socioeconomic factors | Population density | ≥150 | 60–150 | 15–60 | <15 |
Distance from main traffic routes | <500 | 500–1000 | 1000–1500 | 1500–2000 | |
Type of land use | Building Sites | Arable Land | Woodland, Grassland | Other | |
Ecological factors | Ecological protection red line | Outside the ecological protection red line | Within the ecological protection red line |
Assessment Factors | Evaluation Factors | Specific Indicators |
---|---|---|
Density resilience | Social density | Total population at end of year |
Rural practitioners | ||
Number of beds in hospitals and health centers | ||
Number of students in general secondary schools | ||
Number of pupils in primary schools | ||
Economic density | Gross domestic product | |
Value added by secondary industry | ||
Total retail sales of social consumer goods | ||
Fiscal revenue | ||
Total output value of agriculture, forestry, animal husbandry and fishery |
Type | Low Resilience | Medium-Low Resilience | Medium Resilience | Medium-High Resilience | High Resilience |
---|---|---|---|---|---|
Scale Resilience | <1.6875 | 1.6875–2.7028 | 2.7028–3.7560 | 3.7560–5.2441 | >5.2441 |
Density Resilience | <0.0067 | 0.0067–0.0163 | 0.0163–0.2890 | 0.2890–0.0530 | >0.0530 |
Morphological Resilience | <0.3641 | 0.3641–0.7455 | 0.7455–0.9942 | 0.9942–1.4044 | >1.4044 |
Combined Resilience | <0.0082 | 0.0082–0.0209 | 0.0209–0.0349 | 0.0349–0.0623 | >0.0623 |
Evaluation Factors | Specific Indicators | |||
---|---|---|---|---|
Indicators | Weights (Combined Method) | Weighting | ||
Entropy Method | Hierarchical Analysis Method | Portfolio Weights | ||
Social Density | 0.2968 | 0.0512 | 0.2143 | 0.1092 |
0.0575 | 0.0714 | 0.0409 | ||
0.0840 | 0.0714 | 0.0597 | ||
0.0610 | 0.0714 | 0.0434 | ||
0.0614 | 0.0714 | 0.0436 | ||
Economic Density | 0.7032 | 0.1072 | 0.0665 | 0.0710 |
0.1509 | 0.1195 | 0.1796 | ||
0.1775 | 0.1195 | 0.2112 | ||
0.0637 | 0.0973 | 0.0617 | ||
0.1857 | 0.0973 | 0.1799 |
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Li, Y.; Ma, Y.; Liu, J.; Yang, J. Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang. Int. J. Environ. Res. Public Health 2023, 20, 5106. https://doi.org/10.3390/ijerph20065106
Li Y, Ma Y, Liu J, Yang J. Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang. International Journal of Environmental Research and Public Health. 2023; 20(6):5106. https://doi.org/10.3390/ijerph20065106
Chicago/Turabian StyleLi, Ying, Yonggang Ma, Junjie Liu, and Jianjun Yang. 2023. "Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang" International Journal of Environmental Research and Public Health 20, no. 6: 5106. https://doi.org/10.3390/ijerph20065106