Development of geospatial toolkit for urban waste management system | |
| Author | Khot, Kirtika Vasudeo |
| Call Number | AIT Thesis no.RS-23-04 |
| Subject(s) | Waste management Geospatial data--Computer processing Geographic information systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Efficient solid waste management is critical for ensuring sustainable development and increasing urban living quality. The purpose of this research is to investigate the application of GIS technology to enhance the solid waste management system in Pimpri-Chinchwad Municipal Corporation (PCMC), India. The key objectives of this research were to identify optimal collection point and bin allocation sites, optimizc waste collection routes using A® algorithm, and build a Web-GIS application to display and manage the solid waste management system. In the PCMC area, geospatial analytic techniques were used to find acceptable sites for collection stations and optimal bin distribution. The waste collection routes were optimized using A algorithm, and the results revealed a considerable reduction in travel time and fuel usage. To visualize PCMC's solid waste management system, a Web-GIS application was created utilizing HTML, Css, JavaScript, Leaflet,PostgreSQL, and GeoServer. Furthermore, this work contributes a significant addition to the field of solid waste management by demonstrating the potential of GIS technology to promote sustainability and quality of life in metropolitan areas. The study's findings indicate that optimizing solid waste management using geospatial analytic techniques and A® algorithm can result in considerable improvements in efficiency and cost-effectiveness. The GIS application developed in this study is a useful tool for managing PCMC's solid waste management system, and it may be adapted to other cities with comparable waste management difficulties. Overall, the findings show that GIS technology has the potential to support sustainable development and improve the quality of life in mctropolitan areas through effective solid waste management. |
| Year | 2023 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Thammarat Koottatep;Mozumder, Chitrini; |
| Scholarship Donor(s) | AIT Scholarship; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2023 |