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Assessing sustainable waste management practices in Rajshahi City Corporation: an analysis for local government enhancement using IoT, AI, and Android technology

  • Sustainable Waste Management using IoT and AI Technologies
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Abstract

This study addresses the pressing challenge of inefficient waste management practices within the Rajshahi City Corporation (RCC), Bangladesh. Despite rapid urbanization and escalating waste generation rates, RCC struggles with diverse waste disposal practices, limited supervision, irregular waste collection schedules, and inadequate disposal infrastructure. In this context, this study examines the possible improvements that could be made by combining the Internet of Things (IoT), artificial intelligence (AI), and Android application to improve waste management methods in the RCC. The study’s foundation is a vast amount of information gathered from residents, with particular attention paid to waste disposal methods, the role of the local government, the frequency of waste collection, and public attitudes toward waste management. The results point to a complicated waste management environment with a range of waste disposal practices, little supervision, irregular waste collection, and insufficient disposal methods. The importance of RCC in waste management is emphasized, highlighting the need for proactive measures including effective monitoring, constant waste collection, and routine drain cleaning. Additionally, it is suggested that combining IoT, AI, and Android technology is a possible way to improve waste management procedures. These technologies have the potential to increase productivity, lessen their negative effects on the environment, and produce cleaner, more sustainable urban environments.

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Acknowledgements

We extend our sincere gratitude to the dedicated reviewers who have contributed their time, expertise, and valuable insights to the review process. Your thoughtful feedback and constructive comments have been instrumental in shaping and improving the quality of this work. We deeply appreciate your commitment to academic excellence and your invaluable contributions to our project.

Funding

The research was funded by the Bangladesh Bureau of Educational Information & Statistics (BANBEIS), Ministry of Education of the People’s Republic of Bangladesh under Grants for Advanced Research in Education (GARE) program. The CP no. is SD20191014 and the grant number is 37.20.0000.004.033.020.2016.1053, dated October 13, 2019.

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Authors and Affiliations

  1. Department of Political Science, University of Rajshahi, Rajshahi, 6205, Bangladesh

    Imran Hossain, A. K. M. Mahmudul Haque & S. M. Akram Ullah

  2. Department of Political Science, Varendra University, Rajshahi, 6204, Bangladesh

    Imran Hossain

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  1. Imran Hossain
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Contributions

Conceptualization: Imran Hossain; methodology: Imran Hossain, AKM Mahmudul Haque; formal analysis and investigation: Imran Hossain; writing—original draft preparation: Imran Hossain; writing—review and editing: Imran Hossain, SM Akram Ullah, AKM Mahmudul Haque; supervision: SM Akram Ullah.

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Correspondence to Imran Hossain.

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Hossain, I., Haque, A.K.M.M. & Ullah, S.M.A. Assessing sustainable waste management practices in Rajshahi City Corporation: an analysis for local government enhancement using IoT, AI, and Android technology. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33171-7

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