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Towards a Socio-Techno-Ecological Framework (RESCUE) for Smart Waste Management for Urban Areas in Sri Lanka: A Conceptual Model

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dc.contributor.author Vitharana, V.P.M.
dc.contributor.author Fernando, P.S.A.M.
dc.contributor.author Rukshitha, S.V.S.
dc.contributor.author Nethmini, K.D.
dc.contributor.author Dharmasena, N.P.M.S.
dc.contributor.author Wickramasinghe, B.M.G.S.T.S.K.
dc.date.accessioned 2025-09-24T08:25:23Z
dc.date.available 2025-09-24T08:25:23Z
dc.date.issued 2025
dc.identifier.uri http://repository.ou.ac.lk/handle/94ousl/3471
dc.description.abstract Urbanization in Sri Lanka is accelerating rapidly, with nearly 47% of the population projected to live in urban centers by 2035, up from 19% in 2000. This surge, coupled with rising consumerism, has intensified municipal solid waste (MSW) challenges, particularly in cities like Colombo, which generates over 1,200 tons of waste daily. Current waste management practices remain linear, collection, disposal, and landfill, leading to weak recycling rates, poor infrastructure, and limited citizen engagement, thereby worsening plastic pollution, biodiversity loss, and climate-linked disasters. This study proposes RESCUE (Real-time Environmental Surveillance and CommunityUtilized Ecology), a novel socio-techno-ecological framework tailored for Sri Lankan urban contexts. The study employed a conceptual systems design approach integrating a comprehensive literature review, stakeholder mapping, cultural profiling, ecological assessment, and iterative framework modelling. RESCUE integrates AI-driven predictive analytics, IoT-enabled infrastructure, community engagement, and ecological risk profiling to deliver an adaptive, inclusive, and resilient urban waste management system. The framework comprises four interconnected layers: data infrastructure, analytics and decision-making, community engagement, and governance feedback. Comparative analysis with global systems, such as those in Barcelona, Seoul, Singapore, and INSEE’s Ecocycle, demonstrates RESCUE’s novelty in embedding social inclusivity, ecological sensitivity, and technological integration. Pilot deployments, multistakeholder collaborations, and real-time monitoring strategies are recommended for validation. This framework aligns with UN Sustainable Development Goals (SDGs), particularly SDG 11 (Sustainable Cities) and SDG 12 (Responsible Consumption). RESCUE offers a scalable, replicable model for urban waste governance in Sri Lanka and other rapidly urbanizing South Asian cities.
dc.language.iso en en_US
dc.publisher The Open university of Sri Lanka en_US
dc.subject AI-driven analytics en_US
dc.subject RESCUE framework en_US
dc.title Towards a Socio-Techno-Ecological Framework (RESCUE) for Smart Waste Management for Urban Areas in Sri Lanka: A Conceptual Model en_US
dc.type Article en_US


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