Assessment of provincial social vulnerability to natural disasters in China

Zhang, Yang; Li, Ning; Wu, Wenxiang; Wu, Jidong

doi:10.1007/s11069-013-1003-5

Cited by 61 publications

(36 citation statements)

References 32 publications

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“…The index ultimately composited was called the Social Vulnerability Index and was firstly abbreviated to SoVI by Cutter. This aggregation method has been applied widely and become classic for social vulnerability assessment [38][39][40][41][42]. Other researchers have explored some innovative methods of aggregation.…”

Section: Introductionmentioning

confidence: 99%

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Zhang

Dou

et al. 2017

Sustainability

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Many frequent and severe air pollution incidents have emerged across the vast parts of China recently. The identification of factors and mapping social vulnerability has become extremely necessary for environmental management and sustainable development. However, studies associating social vulnerability with air pollution remain sparse. With reference to research achievements of social vulnerability, this study made a new trial regarding social vulnerability assessment to air pollution. With the projection pursuit cluster (PPC) model, the top three factors contributing to social vulnerability index (SVI) were discovered and SVI and SVI dimensions (susceptibility, exposure, and adaptability) were evaluated. Results revealed that adaptability values are higher than susceptibility and exposure values. SVI is in a poor condition as, for the whole region, most values belong to the high-medium level. High SVI values mainly appear in the northern and the southern ends of study area. SVI in Shanghai is lower than in Jiangsu and Zhejiang provinces. On the scale of prefecture-level city, it can be found that the low-value centers of SVI always occurred in urban core areas. The spatial variation and inequality in social vulnerability provide policy-makers a scientific basis for air pollution prevention and sustainable management.

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Section: Introductionmentioning

confidence: 99%

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Zhang

Dou

et al. 2017

Sustainability

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“…All these studies provide a good understanding of social vulnerability to natural hazards. However, these studies focused on contributing to theoretical research or empirical study at national or regional scales (Garbutt et al, 2015;Zhou et al, 2014;Cutter and Finch, 2008;Cutter et al, 2013). Studies at the household level are very limited.…”

Section: Introductionmentioning

confidence: 99%

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

Liu

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Evaluating social vulnerability is a crucial issue in risk and disaster management. In this study, a household social vulnerability index (HSVI) to flood hazards was developed and used to assess the social vulnerability of rural households in western mountainous regions of Henan province, China. Eight key indicators were identified using existing literature and discussions with experts from multiple disciplines and local farmers, and their weights were determined using principle component analysis (PCA) and an expert scoring method. The results showed that (1) the ratio of perennial work in other places, hazard-related training and illiteracy ratio (15+) were the most dominant factors of social vulnerability. (2) The numbers of high, moderate and low vulnerability households were 14, 64 and 16, respectively, which accounted for 14.9, 68.1 and 17.0 % of the total interviewed rural households, respectively. (3) The correlation coefficient between household social vulnerability scores and casualties in a storm flood in July 2010 was significant at 0.05 significance level (r = 0.748), which indicated that the selected indicators and their weights were valid. (4) Some mitigation strategies to reduce household social vulnerability to flood hazards were proposed, which included (1) improving the local residents' income and their disaster-related knowledge and evacuation skills, (2) developing emergency plans and carrying out emergency drills and training, (3) enhancing the accuracy of disaster monitoring and warning systems and (4) establishing a specific emergency management department and comprehensive rescue systems. These results can provide useful information for rural households and local governments to prepare, mitigate and respond to flood hazards, and the corresponding strategies can help local households to reduce their social vulnerability and improve their ability to resist flood hazard.

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“…Number of healthcare workers out of a population of 1000 Cutter et al [4]; Zhou et al [29] Number of social workers Holand et al [41] Number of beds in healthcare facilities Fekete [22] The proportion of houses with brick and wood structure % Proposed in this study…”

Section: Basic Indicator Unit Reference Sourcementioning

confidence: 98%

“…Using population and socio-economic data of Shanghai, Zhang and You [28] constructed the social vulnerability indicators of disasters, and they used the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to evaluate the social vulnerability in the 18 districts in Shanghai. Zhou et al [29] used factor analysis to identify the dominant factors that influenced the provincial social vulnerability in China to natural hazards based on the socioeconomic and built environmental variables in 2000 and 2010. Since flood disaster is the Sustainability 2018, 10, 2676 4 of 14 most severe type of disaster in China, many researchers in China have carried out research on the social vulnerability to flood disasters.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Social Vulnerability to Flood Disasters in China

et al. 2018

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Abstract:To proactively prevent losses from flood disasters and subsequent potential human conflicts, it is critical to measure the social vulnerability of a country or a region to flood. In this article, we first propose a list of potential indicators for measuring this social vulnerability. These indicators' significances are then tested based on their correlation coefficients with a vulnerability index obtained using nonparametric Data Envelopment Analysis. In the final measurement system, there are nine indicators: the proportion of the primary industry, infrastructure development level, income gap between urban and rural residents, the proportion of population over 60 years old, the proportion of children under 14 years old, the number of people receiving minimum income assistance, and the number of disasters per year. We then conduct principal component analysis to evaluate the social vulnerability level. Our results show that the social vulnerability level is mostly impacted by the economic principal component and the demographic and social security principal component. Moreover, our results also confirm that the social vulnerability level to flood in China declined overall from 2003 to 2015.

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Assessment of provincial social vulnerability to natural disasters in China

Cited by 61 publications

References 32 publications

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

Measuring Social Vulnerability to Flood Disasters in China

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