Assessment of Sustainable Development Suitability in Linear Cultural Heritage—A Case of Beijing Great Wall Cultural Belt
Abstract
:1. Introduction
2. Literature Review
2.1. Status of Sustainable Development Research Regarding Linear Cultural Heritage
2.2. Sustainable Development Suitability of Linear Cultural Heritage
2.3. Method for Determining LCH Sustainable Development Suitability
3. Materials and Methods
3.1. Study Area
3.2. Data Source
3.3. Assessing Indicators of Sustainable Development Suitability
3.3.1. Establishment of the Index System
3.3.2. Determining the Weight of Each Criterion via AHP Techniques
- 1.
- Decomposing a decision issue and building a hierarchical model of criteria and decision alternatives;
- 2.
- Pairwise comparison between criteria and vectorization of weights;
- 3.
- Pairwise comparison between decision alternatives on each criterion and the production of local weight vectors;
- 4.
3.3.3. Calculating the Sustainable Development Suitability Index
3.4. Development Suitability Type Assessment of the Valley Units
3.5. Spatial Autocorrelation Analysis Used to Assess Development Suitability
4. Results and Discussion
4.1. Distribution of Sustainable Development Suitability in the Beijing Great Wall Cultural Belt
4.2. Zoning of Development Suitability Types in Beijing Great Wall Cultural Belt
4.3. Spatial Characteristics of Sustainable Development Suitability in Beijing Great Wall Cultural Belt
5. Conclusions
- 1.
- There is a discernible polarization in terms of the level of suitability for sustainable development. The distribution of ecological suitability is low in the west and high in the east. In contrast, high cultural and socio-economic suitability values are distributed in a point pattern and exhibit a synergistic phenomenon.
- 2.
- Along the Beijing Great Wall Cultural Belt, the valley units have development suitability patterns. Most valleys have single or multiple ecological advantages, and the ecological suitability and carrying capacity along the Great Wall are high.
- 3.
- The spatial autocorrelation analysis reveals seven clusters in the valley area: Badaling Cluster, Huanghuacheng Cluster, Gubeikou Cluster, and Malanyu Cluster as heated spots; Yanhecheng Cluster, Hegukguan Cluster, and Baihedao Cluster as cold spots. Sustainable development should rely on clusters with exceptional advantages to motivate the surrounding areas to synergistically develop and prevent the overdevelopment of individual clusters to achieve more efficient outcomes.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
References
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Target | Criteria | Weight | Indicators | Index Weight () |
---|---|---|---|---|
Assessment index of sustainable development suitability (A) | Ecological suitability (B1) | 0.2913 | Vegetation coverage (C1) | 0.0812 |
Landscape dominance (C2) | 0.0391 | |||
Distance from the river (C3) | 0.0492 | |||
Elevation (C4) | 0.0274 | |||
Slope (C5) | 0.0518 | |||
Cultural suitability (B2) | 0.3475 | Heritage distribution density (C6) | 0.1091 | |
Mixing degree of heritage sites (C7) | 0.0299 | |||
Grade of tourist attractions (C8) | 0.1084 | |||
Tourist attractions density (C9) | 0.0704 | |||
Population density (C10) | 0.1186 | |||
Socio-economic suitability (B3) | 0.3611 | Road network density (C11) | 0.0462 | |
Mixing degree of interest points (C12) | 0.0726 | |||
Distance from main residential areas (C13) | 0.0354 | |||
Infrastructure resource density (C14) | 0.0979 | |||
Service facility resource density (C15) | 0.0664 |
Very Low | Low | Moderate | High | Very High | |
---|---|---|---|---|---|
Class | 1 | 2 | 3 | 4 | 5 |
Vegetation coverage (%) | 0–0.18 | 0.18–0.47 | 0.47–0.70 | 0.7–0.90 | 0.90–1.0 |
Landscape dominance | <2.17 | 2.17–3.11 | 3.11–3.63 | 3.63–3.87 | >3.87 |
Distance from the river (m) | >1200 | 800–1200 | 500–800 | 300–500 | 0–300 |
Elevation (m) | >1690 | 1280–1690 | 880–1280 | 480–880 | 80–480 |
Slope (°) | 12.5–22.5 | 9.0–12.5 | 6.0–9.0 | 3.5–6.0 | 0–3.5 |
Heritage distribution density (PCs) | 0–6 | 7–14 | 15–23 | 24–35 | >35 |
Mixing degree of heritage sites | 0–0.14 | 0.14–0.47 | 0.47–0.70 | 0.70–0.90 | 0.90–1.0 |
Grade of tourist attractions | 0–2 | 2–4 | 4–6 | 6–8 | 8–10 |
Tourist attractions density | <0.12 | 0.12–0.60 | 0.60–1.5 | 1.5–2.5 | 8–10 |
Population density (person/km2) | <48 | 48–107 | 107–195 | 195–420 | >420 |
Road network density (km/km2) | <0.16 | 0.16–0.48 | 0.48–0.8 | 0.8–1.4 | >1.4 |
Mixing degree of interest points | <0.43 | 0.43–0.86 | 0.86–1.3 | 1.3–1.73 | >1.73 |
Distance from main residential areas (m) | >4000 | 3000–4000 | 2000–3000 | 1000–2000 | <1000 |
Infrastructure resource density | <0.25 | 0.25–0.65 | 0.65–1.14 | 1.14–1.65 | >1.65 |
Service facility resource density | <0.07 | 0.07–0.26 | 0.26–0.55 | 0.55–0.96 | >0.96 |
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He, D.; Hu, J.; Zhang, J. Assessment of Sustainable Development Suitability in Linear Cultural Heritage—A Case of Beijing Great Wall Cultural Belt. Land 2023, 12, 1761. https://doi.org/10.3390/land12091761
He D, Hu J, Zhang J. Assessment of Sustainable Development Suitability in Linear Cultural Heritage—A Case of Beijing Great Wall Cultural Belt. Land. 2023; 12(9):1761. https://doi.org/10.3390/land12091761
Chicago/Turabian StyleHe, Ding, Jingchong Hu, and Jie Zhang. 2023. "Assessment of Sustainable Development Suitability in Linear Cultural Heritage—A Case of Beijing Great Wall Cultural Belt" Land 12, no. 9: 1761. https://doi.org/10.3390/land12091761
APA StyleHe, D., Hu, J., & Zhang, J. (2023). Assessment of Sustainable Development Suitability in Linear Cultural Heritage—A Case of Beijing Great Wall Cultural Belt. Land, 12(9), 1761. https://doi.org/10.3390/land12091761