Abstract

The rapid growth of China’s takeout sector has given rise to a range of pollution issues stemming from the accumulation of garbage generated by takeaway packaging. These plastic materials pose challenges in terms of degradation and recycling, so contributing to environmental pollution. Hence, the design of takeaway packaging must to be rooted in the principles of sustainability and environmental conservation. This study examines the strategy analysis of sustainable takeaway packaging design. The research process involved the collection of sustainable keywords and interview questionnaire scores. These keywords were then combined with the “3R principles” of sustainability and the AHP to develop an evaluation model for assessing preferences in sustainable takeaway packaging design. Subsequently, the collected data was analysed using the evaluation model through function calculation. The analysis of the data reveals that individuals tend to prioritise the “Reduce” level in their sustainable takeaway packaging design strategy. The weighted average value for this level is 0.449592982, suggesting that individuals prioritise the material itself and demonstrate a willingness to address environmental concerns and reduce resource waste through sustainable packaging design practises. This study proposes optimisation suggestions for sustainable takeaway packaging design by considering preference levels and existing environmental protection issues associated with sustainable packaging. These suggestions are informed by relevant policies and data, and aim to promote sustainable takeaway packaging design and environmental protection.The findings of this study demonstrate that the integration of sustainable keywords and the AHP in the evaluation model can offer a more scientifically grounded representation of individuals’ preference indicators. Consequently, this methodology has the potential to furnish users and industry professionals with valuable user evaluations that can effectively inform sustainable packaging design decisions.

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