Implementing data analysis based on the mixed clustering technique for sustainable participatory waste management in a low-budget area

Abstract

Purpose The research objectives are as follows: to understand the situation of solid waste management in the Makham Tia Subdistrict Administrative Organization, Surat Thani Province, Thailand; identify the patterns in household waste generation and 3Rs behavior (recycle, reuse and reduce waste); and formulate sustainable municipal solid waste management guidelines. Design/methodology/approach This study aimed to propose the solution by using data analysis and a participatory research approach to set the guidelines for sustainable community waste management in a low-budget area. A survey of household behavior was done with questionnaires. Mixed clustering using the Gower coefficient was performed to assess the categorical socio-demographic variables along with the numeric variables related to the 3Rs behavior. The guidelines for waste management were generated based on the characteristics of the household groups. Findings The guidelines for waste management were generated based on the characteristics of the household groups. An appropriate practical plan for municipal solid waste management in Makham Tia Subdistrict was proposed in this work. The study showed that the guidelines were implemented and revised by members of the community, and this led to the development of sustainable community solid waste management for the future. Originality/value The goal of this study was to provide a solution for sustainable community waste management in a low-budget location by using data mining techniques and a participatory research approach. The study showed that the guidelines were implemented and revised by members of the community, and this led to the development of sustainable community solid waste management for the future.