Search results

In line with global initiatives, the state of Kerala in southern India is actively working towards formalizing its informal solid waste management (SWM) sector. Despite this, there is a dearth of studies on formalization processes, particularly focusing on the conditions of workers within this sector. This study addresses the gap by examining the challenges faced by women workers operating within the formalized framework of Kerala’s SWM sector. It aimed to investigate challenges faced by grassroots women workers in Kerala’s SWM sector during its transition from informal to formal, identifying gaps in the process through their experiences. Using a qualitative methodology, the research gathered data from 10 women workers in the SWM sector in Kozhikode, Kerala, who were part of the Haritha Karma Sena (green task force). Thematic analysis of in-depth interviews revealed two major challenges faced by these women. Firstly, there was a negative societal perception towards them, and secondly, there was a lack of appropriate state response to their needs and requirements. These challenges were attributed to gaps and pitfalls in the formalization process, leading to a lowered socio-economic status for the women, increased vulnerability to health hazards, and societal stigma. The findings underscore the need for significant improvements in the formalization process of Kerala’s waste management sector. The study advocates for targeted policy interventions to enhance the working conditions of SWM workers, emphasizing the importance of expediting and streamlining the formalization process. This, in turn, would contribute to the overall effectiveness of the SWM system in the state.

The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste).

This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).

The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles.

The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.