A HYPERLOCAL DIGITAL PLATFORM FOR OPTIMIZING URBAN WASTE MANAGEMENT

Abstract

Urban centers around the globe are experiencing a growing pressure in the management of municipal solid waste owing to population growth, uncontrollable dumping, and ineffective collections. The study examines the evolution and consequence of a hyperlocal online application that aims to streamline the problem of waste management in cities. The platform merges real time data collection, geographic information system (GIS) and artificial intelligence (AI) with the aim of improving efficiency in waste collection, decreasing operational expenses and increasing citizen participation. Using hyperlocal information, municipal authorities will be able to figure out the waste hot spots, collect it at the appropriate moment, and promote the effective use of segregation. In this research, the effectiveness of the platform will be assessed based on the case studies of the chosen urban neighborhoods and provide the results about the enhancement of the operations, environmental changes, and user satisfaction.