英国基于主体的牛奶消费与替代模型中的食物选择机制比较

Matthew Gibson, R. Slade, J. Pereira, J. Rogelj
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引用次数: 2

摘要

:替代食品将是实现可持续饮食广泛采用的关键。我们提出了一个基于主体的决策模型和对食物选择的影响,并将其应用于1974年至2005年英国全脂和脱脂(包括半脱脂)牛奶消费的历史趋势。我们的目标是给出牛奶选择替代的合理表示,并测试不同的选择考虑机制。代理人是了解两种牛奶选择信息的消费者,并持有告知他们对这些选择对健康和环境影响的立场的价值观。习惯,社会影响和决策后评价建模。关于人类价值观和长期公众关注的代表性调查数据为模型提供了经验信息。进行了一项实验,比较两种模型变体在再现这些趋势方面的表现。这是通过记录每人每周平均牛奶消费量来衡量的。这些变体在代理人如何倾向于考虑替代牛奶选择方面有所不同。一种是阈值法,另一种是基于概率法。所有其他模型方面保持不变。通过进化算法进行优化练习,用于根据观测数据独立校准模型变量。校准后,进行了不确定度和基于全局方差的时间敏感性分析。两种模型变体都能够再现历史牛奶消费的一般模式,然而,基于概率的方法更接近观察到的数据,但不确定性范围更大。这回应并进一步强调了研究和比较基于代理和模拟模型的不同人类决策模型的需求。这项研究首次提出了基于主体的英国牛奶消费背景下的食物选择替代模型。它可以作为英国饮食转变和可持续产品替代到植物性替代品的建模的有价值的前兆。
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Comparing Mechanisms of Food Choice in an Agent-Based Model of Milk Consumption and Substitution in the UK
: Substitution of food products will be key to realising widespread adoption of sustainable diets. We present an agent-based model of decision-making and influences on food choice, and apply it to historically observed trends of British whole and skimmed (including semi) milk consumption from 1974 to 2005. We aim to give a plausible representation of milk choice substitution, and test different mechanisms of choice consideration. Agents are consumers that perceive information regarding the two milk choices, and hold values that inform their position on the health and environmental impact of those choices. Habit, social influence and post-decision evaluation are modelled. Representative survey data on human values and long-running public concerns empirically inform the model. An experiment was run to compare two model variants by how they perform in reproducing these trends. This was measured by recording mean weekly milk consumption per person. The variants differed in how agents became disposed to consider alternative milk choices. One followed a threshold approach, the other was probability based. All other model aspects remained unchanged. An optimisation exercise via an evolutionary algorithm was used to calibrate the model variants independently to observed data. Following calibration, uncertainty and global variance-based temporal sensitivity analysis were conducted. Both model variants were able to reproduce the general pattern of historical milk consumption, however, the probability-based approach gave a closer fit to the observed data, but over a wider range of uncertainty. This responds to, and further highlights, the need for research that looks at, and compares, different models of human decision-making in agent-based and simulation models. This study is the first to present an agent-based modelling of food choice substitution in the context of British milk consumption. It can serve as a valuable pre-curser to the modelling of dietary shift and sustainable product substitution to plant-based alternatives in Britain.
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