类型学
持续性
选择(遗传算法)
碳纤维
能量(信号处理)
可持续能源
业务
环境经济学
计算机科学
社会学
经济
工程类
生态学
电气工程
统计
复合数
生物
人工智能
数学
人类学
可再生能源
算法
作者
Benjamin K. Sovacool,Steve Griffiths
标识
DOI:10.1038/s41893-020-0519-4
摘要
How does culture influence low-carbon energy transitions? How can insights about cultural influences guide energy planners and policymakers trying to stimulate transitions, particularly at a time of rapid technological change? This Review examines the influence of culture on a selection of low-carbon technologies and behavioural practices that reflect different dimensions of sustainability. Based on a typology of low-carbon technology and behaviour, we explore the cultural dimensions of four specific cases: eco-driving, ridesharing, automated vehicles and whole-house retrofits. We conclude with recommendations for those seeking to analyse, understand, develop, demonstrate and deploy low-carbon innovations for sustainable energy transitions. Culture influences low-carbon energy transitions and as a result should be considered in the design of relevant policies. Focusing on a selection of low-carbon technologies and behavioural practices, this Review highlights the role of culture with respect to different dimensions of sustainability.
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