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Pricing routes: Compensation of crowd-drivers
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DOI：10.1016/j.trc.2026.105911.png)
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Abstract
En 中文
• An integrated framework jointly optimizes routing and pricing in crowd-shipping systems. • Route acceptance by crowd-drivers is modeled using a discrete choice formulation. • Pricing decisions explicitly balance expected delivery cost and driver participation. • A two-stage stochastic model captures acceptance uncertainty and recourse actions. • An adaptive large neighborhood search efficiently solves large-scale instances.
Keywords:
Crowd-shipping
Last-mile
Dynamic pricing
Stochastic optimization
Adaptive large neighborhood search
Discrete choice model
Revenue management
Multi-objective
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