Resilience and seismic risk perception at school: a geoethical experiment in Aiello Calabro, southern Italy

Pascale, Francesco De; Bernardo, Marcello; Muto, Francesco; Matteo, Dante Di; Dattilo, Valeria

doi:10.1007/s11069-016-2696-z

Cited by 18 publications

(17 citation statements)

References 12 publications

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“…If we analyze the perception of exposure to extreme natural events, the perception of exposure to earthquakes by respondents from Lago and Amantea is high on both. These data, in the context of this geographical study area, confirm the high perception of risk exposure, also found in other studies carried out in different areas of Calabria-Pollino [63], Aiello Calabro [78], Costa degli Dei [60,79], Maierato [61,80]. As we have pointed out, the two municipalities are located in an area with high seismic hazard.…”

Section: Community Resilience To Extreme Natural Events and Climate Csupporting

confidence: 91%

Climate Change and Social Perception: A Case Study in Southern Italy

et al. 2020

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The consequences of climate change can involve various ambits and be very severe. For this reason, the social perception of climate change is a fundamental issue since it can influence the decisions of the policymakers, by encouraging or discouraging political, economic and social actions. In this paper, a sample of 300 interviews, collected through a standardized questionnaire and carried out among two municipalities located in southern Italy, was exploited to investigate the perception of climate change. Specific issues, regarding perceptions about climate change, concerns about its impacts, level of information, behavior and actions, exposure to extreme natural events and trust, were addressed to give answers to the research questions: (i) Is climate change perceived by the population? (ii) What is the degree of the community resilience to extreme natural events and climate change? As the main findings, this survey highlighted that the spatio-temporal dimension affects population perception, suggesting that some issues, such as correct behavior towards the geosphere, the sustainability of anthropization processes, community resilience and disaster risk reduction policies, can be very central and useful to mitigate the effects of climate change in population and society. Moreover, climate change perception varies in relation to contextual factors, including media communication, socio-demographic characteristics of respondents, knowledge and education, economic and institutional factors, personal values and, finally, psychological factors and experience.

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Section: Community Resilience To Extreme Natural Events and Climate Csupporting

confidence: 91%

Climate Change and Social Perception: A Case Study in Southern Italy

et al. 2020

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“…In recent years, there has been increased research into earthquake disaster risk reduction, aiming to raise awareness and reduce the possible effects of future earthquakes (Tucker, 2013;Becker et al, 2014;Paton et al, 2015;Murakami et al, 2016;Becker et al, 2017;De Pascale et al, 2017;Santos-Reyes et al, 2017;Doyle et al, 2018;Han et al, 2020). At the policy level, both the Hyogo Framework for Action (2005) and Sendai Framework for Disaster Risk Reduction (2015) have emphasized the importance of public awareness and preparedness, encouraging individuals and communities to undertake preparedness activities.…”

Section: Introductionmentioning

confidence: 99%

Children's earthquake preparedness and risk perception: A comparative study of two cities in Turkey, using a modified PRISM approach

Yildiz

Teeuw

Dickinson

et al. 2020

International Journal of Disaster Risk Reduction

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Understanding children's risk perception and investigating the underlying factors are important aspects of examining how children interpret and respond to earthquake events. This research examines children's perceptions of earthquake risk and preparedness level in the Van and Kocaeli provinces of Turkey. A mixed-method approach is used, with questionnaires and interviews, as well as the Pictorial Representation of Illness and Self Measure (PRISM) technique. The results show that the majority of the school children did not attend disaster education programs, even if they were living in an area of high seismic risk. The sampled children were generally aware of the earthquake risk in their home area. However, their levels of preparedness were low. A consistent relationship was found between: (1) earthquake risk perception, (2) earthquake awareness, (3) factual knowledge of preparedness, (4) importance of preparedness, and (5) earthquake education programs. The results indicate that children who participated in earthquake education programs had higher earthquake awareness, foresee future earthquake occurrence and the potential causes of injury. Also highlighted was the importance of information sharing within families, as a factor influencing children's earthquake risk perception and preparedness. The results are considered of value for actors in the disaster risk reduction sector. They provide perception insights to improve the communication and dissemination of information about earthquake risk.

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“…Some scholars have applied failure mode and effects analysis (FMEA) to resilience assessment [25][26][27], but these studies only used the risk priority number (RPN), a semi-quantitative measure, and we still lack quantitative disturbance analysis methods. Usually, there are five basic types of data: (1) test data, which are obtained by conducting tests or experiments, such as in Bruelheide and Luginbühl [28], Ledger et al [29], Pascale et al [30]; (2) survey data, which are gathered using questionnaires, such as in Shirali et al [31], Azadeh et al [32,33]; (3) field data, which are monitored during system operation, such as in Almeida and Vieira [34], Pradhan et al [35]; (4) simulation data, which are collected by system modeling and simulating, such as in Li et al [24], Ma et al [36], Tran et al [37], Almajali et al [38]; (5) historical data, including public data that are available on the Internet (such as in Liu et al [39]) and field data from similar systems (such as in Zio and Piccinelli [40]). Although there are so many types of data, there is no systematic way to collect and use the information.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems

Tian

et al. 2019

Sustainability

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With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.

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Resilience and seismic risk perception at school: a geoethical experiment in Aiello Calabro, southern Italy

Cited by 18 publications

References 12 publications

Climate Change and Social Perception: A Case Study in Southern Italy

Climate Change and Social Perception: A Case Study in Southern Italy

Children's earthquake preparedness and risk perception: A comparative study of two cities in Turkey, using a modified PRISM approach

A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems

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