To create a future-ready and sustainable urban environment, smart city initiatives emphasize technological integration and community engagement. In India, where the urban population is expected to contribute around 75% of the GDP, effective waste management is crucial. Traditional systems often overlook the importance of sustainable waste management. European and U.S. cities have advanced smart waste solutions, such as Madrid’s 11,000 bin sensors and Songdo, South Korea's ‘truck-free’ waste management system, with projected investments reaching USD 8.2 billion by 2032. However, such models may not be directly applicable in India due to economic and social constraints. This research seeks to design an economically viable smart waste management framework for India, leveraging IoT and advanced data analytics. The proposed solution aspires to offer a practical reference model for other developing nations facing similar socioeconomic constraints.

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Smart Waste Management for Indian Cities: An IoT-Driven Approach to Urban Sustainability

  • Raghul Gunasekar,
  • Ramcharan Venkatesh,
  • Iyappan Perumal

摘要

To create a future-ready and sustainable urban environment, smart city initiatives emphasize technological integration and community engagement. In India, where the urban population is expected to contribute around 75% of the GDP, effective waste management is crucial. Traditional systems often overlook the importance of sustainable waste management. European and U.S. cities have advanced smart waste solutions, such as Madrid’s 11,000 bin sensors and Songdo, South Korea's ‘truck-free’ waste management system, with projected investments reaching USD 8.2 billion by 2032. However, such models may not be directly applicable in India due to economic and social constraints. This research seeks to design an economically viable smart waste management framework for India, leveraging IoT and advanced data analytics. The proposed solution aspires to offer a practical reference model for other developing nations facing similar socioeconomic constraints.