I’d start by treating your district as a set of zones, not one big number. Split it into commercial streets, residential blocks, transit stops, parks, schools, and event areas, because a trash can on a busy bus corner does very different work from one on a quiet side street. Then do a walk audit at different times—morning rush, lunch, evening, and weekend—and note where litter builds up, where bins overflow, and where people naturally pause. That field data matters more than population alone.
Next, estimate waste volume per zone. Use population and footfall counts if you have them, plus feedback from collection crews about which stops fill fastest. Then apply a simple planning formula: number of bins ≈ daily waste generated in liters ÷ bin capacity in liters × collections per day × safe fill ratio. I usually use a safe fill ratio of about 0.7 to 0.8 so bins are not planned to be constantly full. For example, if a commercial corridor generates about 1,200 liters of waste per day, uses 120-liter bins, gets one collection per day, and you plan for 75% fill, you need roughly 14 bins: 1,200 ÷ 120 × 1 × 0.75 = 13.3, rounded up.
Use that estimate as a starting point, then place bins where demand actually happens—entrances, crossings, food stalls, transit shelters, and litter hotspots. Map the results in GIS so you can see gaps and overlaps. I’d also pilot the plan for two to four weeks, monitor fill levels, overflow reports, litter complaints, and collection costs, then adjust. A good district plan is not about having the maximum number of bins; it’s about putting the right bins in the right places with reliable collection and maintenance.