关键词: Choice experiments Flood mitigation Hybrid latent class choice model Renaturation measures Water ecosystems

Mesh : Attitude Conservation of Natural Resources Ecosystem Floods Rivers

来  源:   DOI:10.1016/j.jenvman.2021.112743   PDF(Sci-hub)

Abstract:
The present paper offers a contribution to the research on social acceptance of interventions aimed at water ecosystem improvement and flood risk mitigation through renaturation measures. A CE study has been implemented to assess trade-offs between attributes of alternative projects, including social costs deriving from proposed actions of renaturation of river flows. The aim of our approach is to investigate the role of attitudinal factors in the valuation of costs and benefits generated by renaturation measures. A Hybrid Latent Class (HLC) model is applied to the data, revealing the existence of two distinct groups, characterised by different valuations of the attributes of the project. It is found that class membership depends on latent attitudes toward environmental protection and risk perception. Our study confirms the fruitfulness of the HLC modelling approach in stated preference studies regarding ecosystems valuation, as it provides a richer understanding of public preferences and allows more finely targeted policy indications.
摘要:
本文为社会接受旨在通过复性措施改善水生态系统和减轻洪水风险的干预措施的研究做出了贡献。已经实施了一项CE研究,以评估替代项目属性之间的权衡,包括拟议的河流流量复性行动产生的社会成本。我们方法的目的是调查态度因素在评估复性措施产生的成本和收益中的作用。将混合潜在类(HLC)模型应用于数据,揭示了两个不同群体的存在,以项目属性的不同估值为特征。发现阶级成员资格取决于对环境保护和风险感知的潜在态度。我们的研究证实了HLC建模方法在有关生态系统评估的既定偏好研究中的有效性,因为它提供了对公众偏好的更丰富的理解,并允许更有针对性的政策指示。
公众号