Sapta Suhardono , Chun-Hung Lee , Thi Thanh Thuy Phan , I Wayan Koko Suryawan
{"title":"Resident action in smart waste management during landfill disclosure transition: Insights from Yogyakarta's smart city initiatives","authors":"Sapta Suhardono , Chun-Hung Lee , Thi Thanh Thuy Phan , I Wayan Koko Suryawan","doi":"10.1016/j.clpl.2025.100093","DOIUrl":null,"url":null,"abstract":"<div><div>Globally, the rise of smart cities underscores the critical role of resident participation in advancing sustainable urban systems, particularly in managing waste during periods of transition. While technological innovations such as sensing and data analytics have garnered attention, the integration of these solutions with social dynamics remains underexplored. This study addresses this gap by investigating the dynamics of resident engagement in smart waste management during the transitional phase of landfill closures, using Yogyakarta, Indonesia, as a case study. The research aims to bridge the disconnect between technological advancements and community involvement, emphasizing their interplay in ensuring sustainable outcomes. Adopting a mixed-methods approach, this study integrates advanced computational intelligence with qualitative insights into behavioral drivers. Key elements of the methodological framework include sensing, learning, understanding, and acting, enabling a comprehensive exploration of the technological and human dimensions of waste management. Advanced predictive models analyze patterns in waste generation, optimizing system responsiveness and efficiency, while qualitative data reveal the critical role of education and tailored communication strategies in fostering resident participation. Findings demonstrate that combining cutting-edge technology with community-centric initiatives leads to significant improvements in waste management outcomes. Strategic educational campaigns and adaptive communication tailored to local contexts enhance public engagement and sustainable practices. Furthermore, the study underscores the importance of continuous learning and adaptive management, enabling urban planning frameworks to evolve in response to emerging challenges. This synergy between technology and civic participation is pivotal for the long-term success of smart city initiatives. The novelty of this research lies in its holistic integration of technological solutions and social dynamics, offering a scalable and adaptable model for smart waste management. By emphasizing the importance of adapting universal principles to local contexts, this study provides actionable insights for global smart city strategies, making it a pioneering contribution to urban sustainability.</div></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"8 ","pages":"Article 100093"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Production Letters","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666791625000028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Globally, the rise of smart cities underscores the critical role of resident participation in advancing sustainable urban systems, particularly in managing waste during periods of transition. While technological innovations such as sensing and data analytics have garnered attention, the integration of these solutions with social dynamics remains underexplored. This study addresses this gap by investigating the dynamics of resident engagement in smart waste management during the transitional phase of landfill closures, using Yogyakarta, Indonesia, as a case study. The research aims to bridge the disconnect between technological advancements and community involvement, emphasizing their interplay in ensuring sustainable outcomes. Adopting a mixed-methods approach, this study integrates advanced computational intelligence with qualitative insights into behavioral drivers. Key elements of the methodological framework include sensing, learning, understanding, and acting, enabling a comprehensive exploration of the technological and human dimensions of waste management. Advanced predictive models analyze patterns in waste generation, optimizing system responsiveness and efficiency, while qualitative data reveal the critical role of education and tailored communication strategies in fostering resident participation. Findings demonstrate that combining cutting-edge technology with community-centric initiatives leads to significant improvements in waste management outcomes. Strategic educational campaigns and adaptive communication tailored to local contexts enhance public engagement and sustainable practices. Furthermore, the study underscores the importance of continuous learning and adaptive management, enabling urban planning frameworks to evolve in response to emerging challenges. This synergy between technology and civic participation is pivotal for the long-term success of smart city initiatives. The novelty of this research lies in its holistic integration of technological solutions and social dynamics, offering a scalable and adaptable model for smart waste management. By emphasizing the importance of adapting universal principles to local contexts, this study provides actionable insights for global smart city strategies, making it a pioneering contribution to urban sustainability.