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A GIS based transportation model for solid waste disposal--a case study on Asansol municipality
M K Ghose1, A K Dikshit, S K Sharma
1Regional Remote Sensing Service Center, ISRO, IIT Campus, Kharagpur 721 302, India. mkghose2000@yahoo.com
This study presents a GIS optimal routing model to improve solid waste management in developing cities. The proposed system significantly reduces costs and enhances efficiency for waste collection and transport.
Area of Science:
- Environmental Science
- Urban Planning
- Operations Research
Background:
- Rapid urbanization in developing countries presents significant solid waste management challenges.
- Inefficient waste collection and transportation systems lead to substantial financial burdens for municipal authorities.
- The Asansol Municipality Corporation (AMC) faces escalating costs due to inadequate waste management infrastructure.
Purpose of the Study:
- To design and develop an optimized storage, collection, and disposal plan for the Asansol Municipality Corporation (AMC).
- To implement a Geographic Information System (GIS) based optimal routing model for efficient solid waste transportation.
- To provide a decision support tool for municipal authorities to improve daily operations and resource management.
Main Methods:
- Development of a GIS optimal routing model incorporating data on population density, waste generation, and road networks.
- Integration of information on storage bin capacity, vehicle types, and road conditions into the routing model.
- Estimation of fixed and annual operating costs for the proposed waste collection and disposal system.
Main Results:
- The proposed GIS model identifies minimum cost/distance efficient collection paths for solid waste.
- The system offers efficient management of daily operations, including vehicle load balancing and fuel consumption.
- Estimated fixed costs are 80 million rupees and annual operating costs are 8.4 million rupees.
- Projected savings over 15 years are substantial compared to the current annual expenditure of 25 million rupees on waste collection alone.
Conclusions:
- The GIS optimal routing model provides a cost-effective solution for solid waste management in AMC.
- The model serves as a valuable decision support tool for optimizing waste collection, transport, and resource allocation.
- Implementation of the proposed system promises significant financial savings and improved environmental outcomes.
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