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Smart city article details
| Title | Possible Data Analytics Approaches For E-Waste Management |
|---|---|
| ID_Doc | 42413 |
| Authors | Singh Y.J.; Chattopadhyay A.; Chatterjee S. |
| Year | 2023 |
| Published | Technological Advancement in E-waste Management: Towards Smart, Sustainable, and Intelligent Systems |
| DOI | http://dx.doi.org/10.1201/9781003317050-7 |
| Abstract | Worldwide environmental and health challenges are faced because of inadequate and improper handling of electronic waste (e-waste). In India, 90% of e-waste is managed in unorganized sectors. The control initiatives taken by the government are often inadequate. The increasing burden of e-waste worsens the scenario across the globe as other forms of waste from protective materials for Covid-19 are being added. However, e-waste can be ‘reduced, reused, and recycled’ and explored as a viable business by entrepreneurs with appropriate support in the form of training and handholding. This study proposed a possible data analytics system to manage e-waste-related data that may support the smart city projects. It shows the various technical steps such as extraction, transformation, and loading of the data. It offers ways of data collection from concerned stakeholders like customers, recyclers, etc. It proposes different data mart groups with rules, processes, and audit or training providers. The analytics processes will enable users to find the location of the collection points and check the filled level of bins to optimize the pickup routes or re-clustering of the sites, etc., for future e-waste predictions. It will enable the policymakers and entrepreneurs to examine real-time situations and manage policies and frameworks towards a better future. © 2024 selection and editorial matter, Biswajit Debnath, Abhijit Das, Potluri Anil Chowdary, and Siddhartha Bhattacharyya; individual chapters, the contributors. |
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