2020
DOI: 10.1007/978-3-030-36875-3_25
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Do Information and Citizens Characteristics Affect Public Acceptability of Landslide Protection Measures? A Latent Class Approach

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Cited by 6 publications
(3 citation statements)
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“…The hazard due to the destructive power of debris flows and their increased frequency calls for structural countermeasures for the protection of sites of medium to high value. Furthermore, the presence of such protective works can enhance the sense of safety among the population and promote the development of tourist and economic activities, considering the increased perception of the risk (Franceschinis et al., 2020; Musumeci et al., 2021; Strouth & McDougall, 2021; Thiene et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The hazard due to the destructive power of debris flows and their increased frequency calls for structural countermeasures for the protection of sites of medium to high value. Furthermore, the presence of such protective works can enhance the sense of safety among the population and promote the development of tourist and economic activities, considering the increased perception of the risk (Franceschinis et al., 2020; Musumeci et al., 2021; Strouth & McDougall, 2021; Thiene et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Many villages, tourist resorts, and linear infrastructures are built on DF fans or intersect DF channels. The expansion of human activities (new settlements, infrastructures, and touristic facilities, often in the extreme alpine environment) increases the vulnerability of society to these phenomena (Franceschinis et al., 2020). Moreover, the frequency of these phenomena is growing due to climate change (Stoffel et al., 2014); it leads to the increasing of both extreme rainfalls (Floris et al., 2010) and rock wall collapses that provide sediments even in locations where they never occurred before (Gatter et al., 2018; Bernard, Berti, et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Their results show that visual information contribute to higher willingness-to-pay for the measure for which information was provided and they thus conclude that education may increase peoples' willingness to pay for measures to reduce landslide risk (Mattea et al 2016). Franceschinis et al (2020) use the same data as Mattea et al (2016) but apply a Latent Class model to analyze preference heterogeneity across groups. They find women with higher education and income more likely to belong to the class with a higher willingness to pay for all devices.…”
Section: Introductionmentioning
confidence: 99%