Daily door-to-door (D2D) collection from households + bulk generators, primary collection vehicle types (e-rickshaw, tricycle, mini-truck), route planning + scheduling, secondary transportation from collection points to processing/transfer/disposal, vehicle fleet sizing, fuel + energy + emissions optimisation, contractor / SHG operating models.
Compute number of collection vehicles required for daily door-to-door collection given total daily generation, vehicle capacity, trips per day, and utilisation. Add 10-15 % standby for breakdown + maintenance. Use city-actual numbers — not theoretical capacity.
Collection + transportation is the most-visible part of SWM — every citizen sees the collection vehicle at their doorstep. It's also the most operationally intensive: typically 50-65 % of total SWM operational cost.
Door-to-door (D2D) daily collection is the SBM 2.0 standard. Communal-bin-only systems are formally deprecated. The target: ≥ 95 % household coverage, daily for wet waste, flexible for dry + hazardous, on-call for bulky.
Vehicle mix matters a lot. A pure-compactor fleet fails in narrow lanes of old city cores; a pure-tricycle fleet fails for distance + bulk volume. The working pattern is hybrid: e-rickshaw + tricycle for primary collection, compactor truck for secondary transport from collection points to processing facilities or disposal sites.
Route optimisation via Vehicle Routing Problem (VRP) software gives 15-25 % fuel savings + 10-20 % vehicle reduction vs ad-hoc ward-wise routing. ULBs in cities > 1 lakh population should invest in VRP capability.
Operator models: PPP contractor (scale + accountability for large cities), SHG / mohalla committee (community engagement for smaller cities), ULB direct (legacy + often inefficient). Hybrid is common — PPP for primary + ULB for secondary, or the reverse. The key is specifying KPIs + penalty clauses upfront, not after.
EV transition is happening fast at the primary collection level — e-rickshaws are economically dominant (₹1.5-3L capex, ₹0.5-1.0/km running vs ₹2-3/km diesel). Heavy compactor EVs are emerging but battery anxiety + charging infrastructure still maturing. SBM 2.0 + Smart Cities target 30-50 % EV fleet by 2030 — a stretch but plausible.
Smart-tech overlay: GPS tracking on every vehicle (₹15-30K per unit), citizen complaint apps (Indore IClean, Pune Swachh, Bengaluru BBMP), real-time dashboards. Indore + Surat + Pune are the visible best practice; many cities lagging.
Cost reality: collection cost ₹1500-3500/tonne (varies by density, distance, model). Transport ₹500-1500/tonne for typical 10-30 km. Together they dominate ULB SWM operational budget.
Where this chapter sits: collection translates the segregation outcome (chapter 2) into the input streams that processing facilities (chapters 5-9) and landfills (chapter 9) can actually receive. Inefficient collection = high cost + low coverage = political pressure + system failure.