人与环境的反以及亲环境行为的一致性
Claire Ecotière1, Sylvain Billiard2, Jean-Baptiste André3
1Centre de Mathématiques Appliquées, CNRS, Ecole Polytechnique, IP Paris, Palaiseau, France.
PLoS computational biology
|September 18, 2023
概括
持续的环保行为是应对气候变化的关键. 数学建模表明,当社会互动迅速时,社会压力与环境反相结合,会推动人们采用昂贵的绿色行动.
科学领域:
- 环境科学 环境科学
- 行为经济学是一种行为经济学.
- 数学建模的数学建模
背景情况:
- 全球环境危机需要广泛的环保行为.
- 了解个人评估和社会动态的相互作用对于促进可持续行动至关重要.
研究的目的:
- 为了建模影响亲环境行为采用的行为-环境反循环.
- 调查个人评估和社会互动如何影响一致采用绿色行动.
主要方法:
- 开发了一个基于个人的随机数学模型.
- 分析行为在"积极" (支持环境) 和"基线"状态之间切换.
- 使用普通微分方程和奥恩斯坦 - 乌伦贝克过程,近似的系统动力学.
主要成果:
- 结合社会和环境的反,促进了代价昂贵的环保行为.
- 强大的社会压力是必要的,但不足以实现一致的采用.
- 比个人评估更快的社会互动时间尺度和小的环境影响差异至关重要.
结论:
- 社会反循环可以推动广泛采用环保行为.
- 显著减少环境影响的情景包括增加对绿色行动的社会压力.
- 模型提出了促进昂贵但有影响力的环保行动的最佳条件.
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