Surge Pricing Solves the Wild Goose Chase

By Juan-Camilo Castillo, Daniel T. Knoepfle, E. Glen Weyl. ACM Conference on Economics and Computation, 2017

342 citations recorded by the source corpus.

Subfields: Automotive Engineering, Marketing, Transportation

View Paper: https://www.semanticscholar.org/paper/b3b1dbe057c87734f01c492ef130773a40affc9d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Hai Wang
2. Jintao Ke
3. Jieping Ye
4. Xinwei Li
5. Hai Yang

In Marketing

1. Hai Wang
2. Jintao Ke
3. Jieping Ye
4. Xinwei Li
5. Hai Yang

In Transportation

1. Hai Wang
2. Jintao Ke
3. Jieping Ye
4. Hai Yang

Citations in the corpus

• Dynamic pricing and matching in ride‐hailing platforms (2019, positive): “For example, Castillo et al. (2017) demonstrated that the platform can prevent long en route times by setting a MDR.”
• Pricing and equilibrium in on-demand ride-pooling markets (2020, methodology): “Initially identified by Castillo et al. (2017) , the WGC is an inefficient outcome of the ride-sourcing system with extremely low density of vacant vehicles and a large proportion of vehicles wasted in the picking-up phase.”