A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency
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- Soheil Ghili & Vineet Kumar, 2021. "Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing," Papers 2108.05954, arXiv.org.
- Iavor Bojinov & Neil Shephard, 2019. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(528), pages 1665-1682, October.
- Hao Yi Ong & Daniel Freund & Davide Crapis, 2021. "Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ridesharing Platforms," Papers 2104.14740, arXiv.org.
- Fan Zhou & Shikai Luo & Xiaohu Qie & Jieping Ye & Hongtu Zhu, 2021. "Graph-Based Equilibrium Metrics for Dynamic Supply–Demand Systems With Applications to Ride-sourcing Platforms," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1688-1699, October.
- Ke, Jintao & Yang, Hai & Li, Xinwei & Wang, Hai & Ye, Jieping, 2020. "Pricing and equilibrium in on-demand ride-pooling markets," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 411-431.
- Anton Braverman & J. G. Dai & Xin Liu & Lei Ying, 2019. "Empty-Car Routing in Ridesharing Systems," Operations Research, INFORMS, vol. 67(5), pages 1437-1452, September.
- Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
- Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
- Chiwei Yan & Helin Zhu & Nikita Korolko & Dawn Woodard, 2020. "Dynamic pricing and matching in ride‐hailing platforms," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 705-724, December.
- Hao Yi Ong & Daniel Freund & Davide Crapis, 2021. "Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ride-Sharing Platforms," Interfaces, INFORMS, vol. 51(5), pages 373-390, September.
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