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Economic Incentives and Routing Behavior of LLM-Based Driver Agents in Ride-Hailing Markets

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.trip.2026.101892openalex-snapshot
Harnessing AI-driven behavioral analytics for sustainable urban mobility: an interdisciplinary approach to policy, planning, and user adaptation
inferredcites →https://doi.org/10.1017/pan.2023.2openalex-snapshot
Out of One, Many: Using Language Models to Simulate Human Samples
inferredcites →https://doi.org/10.1038/s41467-021-23287-6openalex-snapshot
Incentive-driven transition to high ride-sharing adoption
inferredcites →https://doi.org/10.1073/pnas.2316205120openalex-snapshot
The emergence of economic rationality of GPT
inferredcites →https://doi.org/10.1093/qje/qjv026openalex-snapshot
Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers*
inferredcites →https://doi.org/10.1145/3708985openalex-snapshot
User Behavior Simulation with Large Language Model-based Agents
inferredcites →https://doi.org/10.1177/0019793917717222openalex-snapshot
An Analysis of the Labor Market for Uber’s Driver-Partners in the United States
inferredcites →https://doi.org/10.1257/app.20190655openalex-snapshot
Uber versus Taxi: A Driver’s Eye View
inferredcites →https://doi.org/10.1287/mnsc.2020.3721openalex-snapshot
Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis
inferredcites →https://doi.org/10.1287/msom.2020.0960openalex-snapshot
Surge Pricing and Two-Sided Temporal Responses in Ride Hailing
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