Geospatial Siting of Municipal Solid Waste Collection Points Under Capacity and Exclusion Constraints: The Spatial Capacitated Allocation Network ( SCAN ) Framework
Geospatial modeling evaluation demonstrates balanced waste facility siting across urban and rural settlements, highlighting how settlement structure dictates accessibility trade-offs.
Key Points
Develop an integrated geospatial framework to optimize the placement and capacity limits of municipal solid waste collection points while honoring spatial exclusion constraints.
Formulated the Spatial Capacitated Allocation Network (SCAN) framework incorporating capacitated assignment, soft service radii, and exclusion-aware location refinement.
Engineered an Alternating Assignment Relocation procedure combining mixed-integer linear programming assignment with continuous spatial relocation.
Evaluated the framework across contrasting urban and rural settlement typologies using case studies from Shenzhen and Sichuan, China.
Generated feasible waste collection locations that adhered to environmental and regulatory exclusion zones while preventing facility capacity overruns.
Showed that distinct settlement morphologies directly influence the trade-offs between walking accessibility and spatial siting feasibility.