Decoding spatiotemporal dynamics of post-consumer textile waste generation and management using ternary plots

This study aims to understand the post-consumer textile waste (PCTW) management dynamics of a southeastern US state from 2014 to 2022 using time-series ternary diagrams. Multiple linear regression models were developed to assess the impact of various factors on PCTW generation and management practices. During the period, the study revealed a 33% increase in PCTW generation, averaging 40 kg per capita in 2022, with significant variability influenced by demographic and socioeconomic factors. A shift towards PCTW recycling and reuse across regional levels are observed, probably due to advanced waste sorting systems and improved recycling program accessibility. Population density, land area, household structure, and education were significant predictors for the predictive models (p < 0.05, and 0.39 < R 2 < 0.97) of PCTW generation, landfilling, recycling, and reuse. Recycling was preferred over landfilling more often by individuals with higher education levels, with the lowest disposal rate at 27%. Smaller household sizes favored reuse and donation, underscoring the need for custom PCTW management strategies. Higher recycling rates, reaching up to 74.2% are found in households with fewer females, and in areas with less employers. The proposed visualization framework helps to facilitate development of evidence-based waste policies for a sustainable PCTW management in diverse regional contexts. • PCTW generation rate in Florida increased by 33% over an eight-year period • Evolution of PCTW management is examined using a series of ternary plots • Variability in PCTW management is affected by demographic and socioeconomic metrics • Higher educational attainment may reduce landfill disposal of PCTW • Gender diversity and employment density appear important to PCTW recycling rate