Inclusive Nature-Based Solutions for Urban Regeneration in a Natural Disaster Vulnerability Context: A Case Study of Chongqing, China
Abstract
:1. Introduction
2. Literature Review
2.1. The Concept of Urban Regeneration
2.2. The Concept of Natural Disaster Vulnerability
2.3. NBS for Inclusive Urban Regeneration
3. Analysis on the Mechanism of Natural Disaster and Urban Renewal
3.1. The Impact of Urban Regeneration on Natural Disasters
3.1.1. Easy to Induce a Variety of Natural Disasters
3.1.2. Natural Disasters Occur More Frequently
3.2. The Impact of Urban Regeneration on Natural Disasters
3.2.1. Natural Disasters Increase the Difficulty of Urban Regeneration
3.2.2. Natural Disasters Have Delayed the Process of Urban Regeneration
4. Evaluation Model of Natural Disaster Vulnerability in Urban Area
4.1. Study Area
4.2. Data Envelopment Analysis
4.3. The Selection of Indicators and Data Processing
5. Discussion
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Regional Disaster Risk Index | Exposure Level of Regional Hazard-Bearing Body | Regional Disaster Comprehensive Loss Degree | |
---|---|---|---|
Indicator Meaning | Determined by disaster-inducing factors and vulnerability of regional hazard-bearing body. | It means vulnerable resources and property exposed to natural disasters, such as population, houses, land and roads. The more exposed they are, the more potential losses there will be. | Loss assessment after the natural disaster, such as casualties, the number of collapsed houses and direct economic losses. |
Index selection | Mountain disaster (landslide, collapse, debris flow), drought, rainstorm flood | Regional total population, GDP, GDP per capita, population density, regional urbanization level | Disaster area, died-out areas, the total population affected, the number of deaths due to the disaster, the number of collapsed houses, direct economic losses |
Data Processing Method | The mean-weighted summation is used as input to the DEA model. | Factor analysis method is used to extract the principal component factors as input factors of the DEA model. | Factor analysis method is used to extract the principal component factors as the output factor of DEA model. |
Data Sources | References 1 | China Statistical Yearbook 2011~2016 | Statistical Yearbook of China’s Civil Administration 2011~2016 |
District of Chongqing | Regional Exposure Level | Regional Disaster Risk | Regional Disaster Damage Degree | Disaster Efficiency (Vulnerability) | ||
---|---|---|---|---|---|---|
Density Exposure | Total Exposure | Population Property Losses | Agricultural Losses | |||
Yuzhong District | 1.48 | 1.95 | 3.00 | 3.47 | 2.32 | 1.000 |
Yubei District | 3.07 | 1.64 | 3.60 | 1.25 | 1.22 | 0.499 |
Jiangbei District | 2.79 | 1.40 | 3.40 | 1.17 | 1.55 | 0.639 |
Shapingba District | 1.49 | 3.75 | 3.80 | 2.28 | 3.45 | 0.719 |
Jiulongpo District | 1.36 | 2.29 | 3.40 | 2.29 | 3.18 | 0.853 |
Dadukou District | 1.32 | 2.47 | 2.20 | 1.56 | 1.78 | 0.678 |
Nan’an District | 3.27 | 2.08 | 3.58 | 3.21 | 2.39 | 0.926 |
Beibei District | 3.03 | 1.47 | 3.72 | 2.03 | 3.67 | 0.861 |
Banan District | 2.90 | 2.80 | 3.67 | 2.71 | 2.98 | 0.907 |
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Xiang, P.; Wang, Y.; Deng, Q. Inclusive Nature-Based Solutions for Urban Regeneration in a Natural Disaster Vulnerability Context: A Case Study of Chongqing, China. Sustainability 2017, 9, 1205. https://doi.org/10.3390/su9071205
Xiang P, Wang Y, Deng Q. Inclusive Nature-Based Solutions for Urban Regeneration in a Natural Disaster Vulnerability Context: A Case Study of Chongqing, China. Sustainability. 2017; 9(7):1205. https://doi.org/10.3390/su9071205
Chicago/Turabian StyleXiang, Pengcheng, Yiming Wang, and Qing Deng. 2017. "Inclusive Nature-Based Solutions for Urban Regeneration in a Natural Disaster Vulnerability Context: A Case Study of Chongqing, China" Sustainability 9, no. 7: 1205. https://doi.org/10.3390/su9071205
APA StyleXiang, P., Wang, Y., & Deng, Q. (2017). Inclusive Nature-Based Solutions for Urban Regeneration in a Natural Disaster Vulnerability Context: A Case Study of Chongqing, China. Sustainability, 9(7), 1205. https://doi.org/10.3390/su9071205