NETWORK OF RISK PERCEPTION IN THE LITERATURE FROM 2020 TO 2023
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Abstract
Risk perception is a process that has been taken into account for the design of management and civil protection policies. In this sense, the objective of this work was to establish the network of factors around disaster risk expectations. An exploratory, transversal and psychometric work was carried out with a sample of 10 students assigned to a public university and civil protection institutions. The results demonstrate that the node related to resilience is the centrality, grouping and structuring factor of the other nodes. Such a process suggests learning based on reaction to risks and disasters. In relation to the literature consulted, the extension of the model is recommended in order to anticipate behaviour in the face of disasters. The formative implications of the findings of this work lie in pedagogical sequences where resilience is observed and implemented in the face of contingent hypothetical situations. In this sense, the contribution of the study to the state of the art lies in the establishment of a risk management system based on a neural network of perceptual biases regarding the magnitude of the impact of the event, as well as the resources perceived as strategies for adaptation to change.
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