Paper Key : IRJ************051
Author: Balwant Kumar Maurya,Satendra Vishwakarma,Aditya Singh,Amit Barnwal,Aman Sachan
Date Published: 02 Jan 2025
Abstract
This paper discusses the application of pervasive computing technology to monitor the movement of waste through Seattle's waste management system. 2,000 small, smart, location-aware tags were placed on various types of waste and tracked as they moved through the city's waste disposal process. The data was used to estimate the efficiency of the waste management system, which the authors term the "removal chain".The following are the major findings of the study: More than 95% of the tracked items reached compliant end destinations. Special waste categories, such as cell phones, e-waste, and household hazardous waste, gave rise to concern regarding adherence to best practices. Geographical differences were found in waste disposal practices, with trash from Bellevue and Redmond showing less compliance with recommended guidelines.This research epitomizes how the pervasive computing technologies can be used to enhance waste management systems through providing detailed information on trash flows. This information may be helpful for policymakers and service providers in developing more effective and sustainable ways of managing waste. This kind of data can also raise public awareness about the journey of waste, with encouragement toward responsible consumption and disposal habits.
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