DEVELOPMENT OF TIME-EFFICIENT WASTE COLLECTION ROUTES FOR THE UP DILIMAN CAMPUS USING GIS-BASED NETWORK ANALYSIS

Abstract

Accumulation of waste poses significant environmental and public health concerns. Currently, the Campus Maintenance Office (CMO) of the University of the Philippines Diliman (UPD) facilitates all large-scale waste management procedures through contractual means with the Department of Sanitation and Cleanup Works of Quezon City (DSQC), being guided by CMO upon entry into UPD. The study aims to create time-efficient routes and maps for the current conditions of UPD and CMO through GIS-based network analyses. The datasets utilized in this study include the current UPD traffic scheme, the managed CMO waste collection points, impedance factors like speed bumps, and digitized and estimated traffic data obtained through combined sources from field measurements and online materials. The workflows for the network analysis in ArcGIS involve the preparation of the road network layer, calibration of the network considering the observed collection routes, and the generation of time-efficient routes with appropriately split collection points for the north and south sectors of UPD. The study's new routes found slightly different collection times than the observed collection routes but were able to accommodate more stops that were not observed during fieldwork in comparison.