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The purpose of this paper is to use the methods of big data analysis algorithms and questionnaire surveys to analyse the influence of sustainability education on garbage classification and recycling behavior. In sustainability education, cognitions on garbage classification and recycling policy of the local government (CGCRP), cognitions on the content of sustainable education (CCSE), cognitions on the advantages of sustainable education (CASE), cognitions on the restrictions of sustainable education (CRSE), cognitions on the mediums of sustainable education (CMSE), were studied. The frequency of garbage sorting and the weight of garbage were studied in the garbage sorting and recycling behavior. How the frequency of weekly garbage sorting is positively related to the cognitions on garbage classification and recycling policy of the local government (CGCRP), cognitions on the content of sustainable education (CCSE), cognitions on the advantages of sustainable education (CASE), and the cognitions on the mediums of sustainable education (CMSE), how to be negatively correlated with cognitions on the restrictions of sustainable education (CRSE). How the weight of recyclable waste produced per week is negatively related to the cognitions on garbage classification and recycling policy of the local government (CGCRP), cognitions on the content of sustainable education (CCSE), cognitions on the advantages of sustainable education (CASE), cognitions on the mediums of sustainable education (CMSE), how to be positively correlated with cognitions on the restrictions of sustainable education (CRSE). cognitions on the advantages of sustainable education (CASE) significantly affects weekly waste sorting time. The necessity of educating children about waste separation from an early age significantly affects the weight of recyclable waste produced each week.
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