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消费者行为与食物浪费:通过技术探针理解并减少浪费

Consumer Behaviour and Food Waste: Understanding and Mitigating Waste with a Technology Probe.

作者信息

Jones-Garcia Eliot, Bakalis Serafim, Flintham Martin

机构信息

Horizon Centre for Doctoral Training, School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK.

Future Food Beacon, University of Nottingham, Sutton Bonington Campus, Nottingham LE12 5RD, UK.

出版信息

Foods. 2022 Jul 11;11(14):2048. doi: 10.3390/foods11142048.

Abstract

Globally, nearly one third of food produced for human consumption is lost or wasted. This equals a total of 1.3. billion tonnes per year, which is a large, unnecessary burden for the environment and the economy. Research and development have delivered a wealth of resources for understanding food waste, yet little is known about where food wasting occurs in the home. The study begins with a literature review of articles that deal with food waste and consumer behaviour, reflecting on their definition of 'waste', approach, findings and recommendations. Having noticed a lack of convergence in the literature, and an absence of research into digital technologies for the study of food waste, the potential for incorporating novel technology probe methodologies is explored. Building on the proliferation of internet of things devices, the 'smart bin' is introduced as an effective intervention for making visible routine household food wasting practices. These data were then triangulated with user interviews, leading to an enriched qualitative discussion and revealing drivers and mitigators of waste. This paper concludes with some reflections on the smart bin as a domestic product and how it might synthesise previous understandings of consumer behaviour, leading to better informed food waste policies and initiatives.

摘要

在全球范围内,供人类消费的食品近三分之一被损失或浪费。这相当于每年总计13亿吨,这对环境和经济来说是一个巨大的、不必要的负担。研发工作为理解食物浪费提供了丰富的资源,但对于家庭中食物浪费发生的地点却知之甚少。该研究首先对涉及食物浪费和消费者行为的文章进行了文献综述,反思了它们对“浪费”的定义、方法、研究结果和建议。注意到文献中缺乏一致性,且缺乏对用于食物浪费研究的数字技术的研究后,探讨了采用新技术探测方法的可能性。基于物联网设备的激增,引入了“智能垃圾桶”,作为一种使日常家庭食物浪费行为可见的有效干预措施。然后将这些数据与用户访谈进行三角互证,从而进行更丰富的定性讨论,并揭示浪费的驱动因素和缓解因素。本文最后对智能垃圾桶作为一种家用产品进行了一些思考,以及它如何整合以往对消费者行为的理解,从而形成更明智的食物浪费政策和举措。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c932/9324548/f3db191f8f3b/foods-11-02048-g001.jpg

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