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Smart city article details
| Title | Assessing Sustainable Waste Management Practices In Rajshahi City Corporation: An Analysis For Local Government Enhancement Using Iot, Ai, And Android Technology |
|---|---|
| ID_Doc | 10707 |
| Authors | Hossain I.; Haque A.K.M.M.; Ullah S.M.A. |
| Year | 2024 |
| Published | Environmental Science and Pollution Research |
| DOI | http://dx.doi.org/10.1007/s11356-024-33171-7 |
| 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. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. |
| Author Keywords | Artificial intelligence; IoT; Smart city; Sustainable practices; Urban environment; Waste management |
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