317. Daganzo Continuous
A continuous-approximation approach to large-scale routing and logistics design (Daganzo, 1984+). Replaces discrete combinatorial optimization with closed-form formulas — sacrifices exactness for insight and fast strategic design.
317.1. The key formula: route length
For customers uniformly distributed in a region of area , the expected length of an optimal TSP tour satisfies:
with (the Beardwood-Halton-Hammersley constant). For uniform Euclidean instances, this constant has been studied extensively.
For VRP: each vehicle visits customers (where is capacity in number of customers). Number of routes . Each route length:
where is depot-to-zone distance and is the area of the zone the route covers.
317.2. Why useful
- Strategic design: how many vehicles? How big should zones be? Optimal depot location?
- Sensitivity analysis: , etc.
- Fast benchmarking: compare network designs without solving thousands of VRPs
317.3. Square-root facility-location model
For a region with demand density and warehouse fixed cost , the optimal number of facilities minimizes:
Differentiating and solving:
— larger regions / denser demand / lower facility cost → more facilities. Square-root scaling: doubling demand doesn’t double facility count; it multiplies by .
317.4. Other Daganzo formulas
- Headway design in transit / dispatching: for cost-of-waiting / dispatch trade-off
- Hub-spoke vs direct shipping: cost crossover conditions
- One-to-many vs many-to-many distribution
These give order-of-magnitude correct answers in seconds, useful when:
- The detailed instance isn’t known yet (strategic phase)
- Quick comparison of network designs is needed
- Sensitivity to a parameter matters more than exact cost
317.5. Limitations
- Uniform / smooth demand assumed — clustering breaks formulas
- Continuous approximation — discrete fleet sizes round
- No time windows / capacities in basic forms (extensions exist)
- Less useful for operational (day-to-day) routing than for strategic design
317.6. Where it shows up
- Logistics network design — placing DCs, sizing warehouses
- Public transit planning — bus / rail / paratransit
- Last-mile design — Amazon, UPS strategic network choices
- Reference for VRP heuristic benchmarking
317.7. See also
- VRP — operational counterpart
- Clarke-Wright — operational heuristic
- Location Pooling — strategic trade-off Daganzo formalizes