Using Data Mining To Assess Environmental Impacts of Household Consumption Behaviors,Environmental Science & Technology

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Using Data Mining To Assess Environmental Impacts of Household Consumption Behaviors
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2018-07-13 , DOI: 10.1021/acs.est.8b01452
Andreas Froemelt ₁ , David J. Dürrenmatt ₂ , Stefanie Hellweg ₁

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Household consumption is a main driver of economy and might be regarded as ultimately responsible for environmental impacts occurring over the life cycle of products and services. Given that purchase decisions are made on household levels and are highly behavior-driven, the derivation of targeted environmental measures requires an understanding of household behavior patterns and the resulting environmental impacts. To provide an appropriate basis in support of effective environmental policymaking, we propose a new approach to capture the variability of lifestyle-induced environmental impacts. Lifestyle-archetypes representing prevailing consumption patterns are derived in a two-tiered clustering that applies a Ward-clustering on top of a preconditioning self-organizing map. The environmental impacts associated with specific archetypical behavior are then assessed in a hybrid life cycle assessment framework. The application of this approach to the Swiss Household Budget Survey reveals a global picture of consumption that is in line with previous studies, but also demonstrates that different archetypes can be found within similar socio-economic household types. The appearance of archetypes diverging from general macro-trends indicates that the proposed approach might be useful for an enhanced understanding of consumption patterns and for the future support of policymakers in devising effective environmental measures targeting specific consumer groups.

中文翻译：

使用数据挖掘评估家庭消费行为对环境的影响

家庭消费是经济的主要驱动力，并可能被认为最终负责在产品和服务的生命周期中发生的环境影响。鉴于购买决策是在家庭层面上做出的，并且是高度行为驱动的，因此有针对性的环境措施的推导需要了解家庭行为模式及其对环境的影响。为了为支持有效的环境决策提供适当的基础，我们提出了一种新的方法来捕获生活方式引起的环境影响的可变性。代表流行消费模式的生活方式原型是在两层聚类中得出的，该聚类在预调节自组织图的顶部应用了Ward聚类。然后，在混合生命周期评估框架中评估与特定原型行为相关的环境影响。这种方法在瑞士家庭预算调查中的应用揭示了与先前研究一致的全球消费情况，但也表明在相似的社会经济家庭类型中可以找到不同的原型。原型的出现与一般的宏观趋势背道而驰，这表明所提议的方法可能有助于加深对消费模式的了解，并有助于政策制定者将来在针对特定消费者群体制定有效的环境措施方面给予支持。这种方法在瑞士家庭预算调查中的应用揭示了与先前研究一致的全球消费情况，但也表明在相似的社会经济家庭类型中可以找到不同的原型。原型的出现与一般的宏观趋势背道而驰，这表明所提议的方法可能有助于加深对消费模式的了解，并有助于政策制定者将来在针对特定消费者群体制定有效的环境措施方面给予支持。这种方法在瑞士家庭预算调查中的应用揭示了与先前研究一致的全球消费情况，但也表明在相似的社会经济家庭类型中可以找到不同的原型。原型的出现与一般的宏观趋势背道而驰，这表明所提议的方法可能有助于加深对消费模式的了解，并有助于政策制定者将来在针对特定消费者群体制定有效的环境措施方面给予支持。

更新日期：2018-07-14

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