Multi-hazard, exposure and vulnerability in Italian municipalities

Pagliacci, Francesco; Russo, Margherita

doi:10.4337/9781788970105.00017

Cited by 9 publications

(12 citation statements)

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“…Italy is prone to natural hazards, also due to its geographical location (Valensise et al, 2017), and it has suffered a long history of catastrophic events. Nevertheless, only the dramatic earthquake events of 2016 in Central Italy (causing more than 300 human losses and considerable damage to the economic, productive, artistic and social fabric) have brought back to the centre of general attention the importance of implementing actions to reduce risks (Pagliacci and Russo, 2019a).…”

Section: Italy: a Country Prone To Adverse Natural Eventsmentioning

confidence: 99%

“…Grounded on the results by Pagliacci and Russo (2019a), who return an empirical analysis at municipality level of the territorial distribution of multi-hazards, exposure and vulnerability in Italy 5 , this paper considers the additional role played by neighbouring territories, in terms of their exposure and socio-material vulnerability. Elaborating on this analytical framework is important in all countries, where mitigating the potential impact of multi-hazard calls for huge investments and long-term planning, covering the whole country.…”

Section: Introductionmentioning

confidence: 99%

“…As already done by Pagliacci and Russo (2019a), also the present work relies on the indicator of social vulnerability made available by the Italian National Institute of Statistics:…”

mentioning

confidence: 99%

“…The authors claim they have only selected those variables that had appeared in the literature at least 15% of the times (Marin et al, 2019). iii) % of single parent families; iv) % of households with potential hardship, to indicate the share of families only composed of elderly people (65 years and older) with at least one 80-year-old component; v) % of the population in condition of serious crowding, given by the dwelling surface/inhabitants ratio; vi) % of NEET young people (15-29 years old); vii) % of households with potential economic disadvantage, indicating the share of families with children in which all members are unemployed, or have withdrawn from work (Istat, 2018 Refer to Pagliacci and Russo (2019a) for the results of the cluster analysis.…”

mentioning

confidence: 99%

“…Lastly, with regard to social and material vulnerability, the geographic pattern of the ISMV returns the well consolidated North-South divide: Southern municipalities are among the most vulnerable ones, and both large cities and rural municipalities share similar values. Source: author's elaboration on Pagliacci and Russo (2019a) More generally, it can be noticed that, whereas hazards follow an inherently spatial distribution, patterns of spatial association for both exposure and vulnerability tend to be more blurred. Thus, specific statistical methodologies have been implemented to assess their features at neighbourhood level.…”

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confidence: 99%

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Be (and have) good neighbours! Factors of vulnerability in the case of multiple hazards

Pagliacci

Russo

2020

Ecological Indicators

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For any given territory, disaster risk is a function of hazard, exposure and vulnerability. The conceptual frameworks for these dimensions are largely debated in the scientific studies, focusing on spatial and temporal references and on system perspective of risk assessment. Despite broad in their scope, the analytical frameworks proposed to analyse policy programmes to reduce risk generally miss that risk indicators should be grounded on geographical and spatial features of the neighbouring territories and not only on communities' behaviour, and their resilience, as the paradigmatic solution in front of system events in areas prone to natural multi-hazard. The definition of "community" and of "neighbourhood" that are relevant for risk assessment cannot be simply defined in terms of absolute size of population or economic activity of individual local units under analysis or of the formal aggregation provided by jurisdictional agreements on specific functions. The paper presents an empirical analysis on spatially-lagged data in Italy, which was massively hit by adverse natural events in the last decade. It suggests to focus on social and material vulnerability, by using the comprehensive indicator at municipality level elaborated by the Italian Institute of Statistics. At the municipality-level, the analysis shows a positive correlation between multi-hazards, on the one hand, and spatially-lagged exposure and vulnerability, on the other. Thus, conditions in neighbouring municipalities would matter in prioritizing policy interventions aiming at mitigating hazard impacts, reducing vulnerability and enhancing communities' resilience. The definition of significant neighbouring spaces opens to a conceptualization of vulnerability grounded on a relational perspective in the creation of collective goods. This could enhance more effective Disaster Risk Reduction programmes.

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Section: Italy: a Country Prone To Adverse Natural Eventsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…As already done by Pagliacci and Russo (2019a), also the present work relies on the indicator of social vulnerability made available by the Italian National Institute of Statistics:…”

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Be (and have) good neighbours! Factors of vulnerability in the case of multiple hazards

Pagliacci

Russo

2020

Ecological Indicators

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Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam

Nguyen,

Nguyen

et al. 2023

Nat Hazards

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Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions

Pittore,

Campalani,

Renner

et al. 2023

Nat Hazards

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Extreme hydrometeorological events such as the 2018 Vaia storm increasingly threaten alpine regions with multiple hazards often compounded and with cascading effects. Currently available risk assessment and prevention tools may therefore prove inadequate, particularly for transborder and vulnerable mountain areas, calling for comprehensive multi-hazard and transdisciplinary approaches. In particular, the exposed assets should not anymore be considered a sheer collection of static items, but the models should also reflect functional features. In this paper, we propose an integrated approach to multi-hazard exposure modelling including both static and functional components. The model is based on a homogeneous planar tessellation composed of hexagonal cells and a graph-like structure which describes the functional connections among the cells. To exemplify the methodology, a combination of static (buildings, protective forests), dynamic (population) and functional (road-based transport system) components has been considered together, targeting a ca. 10,000 km2 region across Italy and Austria. A cell-based aggregation at 250 m resolution and an innovative graph-based simplification allow for a good trade-off between the complexity of the model and its computational efficiency for risk-related applications. Furthermore, aggregation ensures protection of sensitive data at a scale still useful for civil protection. The resulting model can be used for different applications including scenario-based risk analysis and numeric simulation, probabilistic risk assessment, impact forecasting and early warning.

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Multi-hazard, exposure and vulnerability in Italian municipalities

Cited by 9 publications

References 0 publications

Be (and have) good neighbours! Factors of vulnerability in the case of multiple hazards

Be (and have) good neighbours! Factors of vulnerability in the case of multiple hazards

Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam

Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions

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