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June 30, 2025Highlights in Business Economics and Management

Cost Game Analysis of the Hybrid Delivery Model Combining Drones and Riders: A Study on the Collaborative Mechanism Based on the Stackelberg Competition Model

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Key Points

Collaborative delivery reduces overall system costs, especially when adjusting for airspace congestion cost, leading to improved efficiency.
Increasing drone density is necessary to address rising airspace congestion costs, enhancing delivery effectiveness.
A two-stage Stackelberg competition model was utilized, illustrating the leader-follower dynamics between drones and riders in resource allocation.
Policies like 'Dynamic Airspace Access Threshold' can optimize resource use and support efficient low-altitude economy strategies.

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Implication

Collaborative delivery achieves cost efficiency in the hybrid model using drones and riders, indicating potential policy support.

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Cite This Study

Jinyuan Jia (2025) studied this question.

synapsesocial.com/papers/68af521fad7bf08b1ead9e16 https://doi.org/10.54097/b3tfcb33

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Research on scheduling optimization for ground-air collaborative instant delivery by takeout riders and drones in the low-altitude economy scenarioOriginal Research · 2026
2Operational Optimization in Low-Altitude Economy: Integrated Model and Algorithm for Collaborative Vehicle-Drone DeliveryOriginal Research · 2026
3Hybrid truck–drone delivery under aerial traffic congestion2024 · 52 citations
4A Multi-Objective Drone Routing Problem for On-Demand Delivery Considering Hybrid Delivery ModesOriginal Research · 2026
5Strategic Planning for Sustainable Last-Mile Logistics: Balancing Airspace Constraints and Carbon Price Uncertainty in Truck-Drone DeliveryOriginal Research · 2026 · 3 citations

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