Mapping social vulnerability to natural hazards in Italy: A suitable tool for risk mitigation strategies

Frigerio, I; Amicis, M De

doi:10.1016/j.envsci.2016.06.001

Cited by 143 publications

(87 citation statements)

References 48 publications

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“…Based on a wide range of academic literature of social vulnerability and social inequality to air pollution, major influencing factors of social vulnerability to air pollution were identified and relevant indicators were initially selected (see Table 1) [29,30,34,36,38,41,[48][49][50][51][52]. …”

Section: Datamentioning

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: Datamentioning

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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“…Since they do not require detailed data as damage and fragility curves, flood vulnerability indicators have been extensively deployed to assess the social vulnerability (Fekete, 2009;Frigerio and de Amicis, 2016), socioeconomic vulnerability (Kienberger et al, 2009), and physical vulnerability (Godfrey et al, 2015;Kappes et al, 2012), as well as to combine multiple dimensions of vulnerability (Roy and Blaschke, 2013;Vojinovic et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Participatory flood vulnerability assessment: a multi-criteria approach

Brito

Evers

Almoradie

2018

Hydrol. Earth Syst. Sci.

132

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Abstract. This paper presents a participatory multi-criteria decision-making (MCDM) approach for flood vulnerability assessment while considering the relationships between vulnerability criteria. The applicability of the proposed framework is demonstrated in the municipalities of Lajeado and Estrela, Brazil. The model was co-constructed by 101 experts from governmental organizations, universities, research institutes, NGOs, and private companies. Participatory methods such as the Delphi survey, focus groups, and workshops were applied. A participatory problem structuration, in which the modellers work closely with end users, was used to establish the structure of the vulnerability index. The preferences of each participant regarding the criteria importance were spatially modelled through the analytical hierarchy process (AHP) and analytical network process (ANP) multi-criteria methods. Experts were also involved at the end of the modelling exercise for validation. The final product is a set of individual and group flood vulnerability maps. Both AHP and ANP proved to be effective for flood vulnerability assessment; however, ANP is preferred as it considers the dependences among criteria. The participatory approach enabled experts to learn from each other and acknowledge different perspectives towards social learning. The findings highlight that to enhance the credibility and deployment of model results, multiple viewpoints should be integrated without forcing consensus.

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“…In addition, SoVI has been adapted to and applied in other contexts: Huang, Su, and Zhang in Beijing-Tianjin Hebei Region, China [49]; Frigerio and De Amicis in Italy [50]; Solangaarachchi, Griffin and Doherty in Australia [51]; Prior, Roth, Maduz, and Scafetti in Switzerland [52]; Cutter in the Yangtze River in China [53], Brazil [54] and Lisbon [55].…”

Section: Methodsmentioning

confidence: 99%

Social Vulnerability to Natural Hazards in Urban Systems. An Application in Santo Domingo (Dominican Republic)

Girasole

Cannatella

2017

Sustainability

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Abstract:The concept of risk has become increasingly complex, and has been used not only in relation to the natural features of a region, but also to its socio-economic context. In this conceptualization, the latter directly influences the capacity of a community to cope with, recover from, and adapt to natural hazards. Conceiving vulnerability as a measure of a socio-ecological system's resilience, and at the same time, as a multidimensional variable that changes in space and time, makes the study of the different ways in which natural hazards impact on society all the more urgent. This is particularly true for developing countries, where risk related to natural hazards affects populations and areas that must deal with stress conditions, such as humanitarian, social and military emergencies. This article presents a methodology for the analysis of social vulnerability, defined and experimented in the context of the international cooperation project "Estudio de la amenaza sísmica y vulnerabilidad física del Gran Santo Domingo". The methodology, implemented through the employment of a Geographic Information System, led to the elaboration of a "Social Vulnerability Index" and a "Social Vulnerability Map". These seek to describe the current condition of vulnerability of the city of Santo Domingo de Guzmán (Distrito Nacional) in the Dominican Republic (DR), and are used to define context-related vulnerability scenarios, as well as to indicate the adequate set of mitigation objectives and actions. The results highlight the importance of using social vulnerability study as the point of departure for defining seismic-risk mitigation policies, emergency management, and territorial planning in order to reduce the impacts of disasters.

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Mapping social vulnerability to natural hazards in Italy: A suitable tool for risk mitigation strategies

Cited by 143 publications

References 48 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

Participatory flood vulnerability assessment: a multi-criteria approach

Social Vulnerability to Natural Hazards in Urban Systems. An Application in Santo Domingo (Dominican Republic)

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