ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.06850
  4. Cited By
Trading the System Efficiency for the Income Equality of Drivers in
  Rideshare

Trading the System Efficiency for the Income Equality of Drivers in Rideshare

12 December 2020
Yifan Xu
Pan Xu
ArXivPDFHTML

Papers citing "Trading the System Efficiency for the Income Equality of Drivers in Rideshare"

4 / 4 papers shown
Title
Balancing the Tradeoff between Profit and Fairness in Rideshare
  Platforms During High-Demand Hours
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
Vedant Nanda
Pan Xu
Karthik Abinav Sankararaman
John P. Dickerson
A. Srinivasan
72
65
0
18 Dec 2019
Putting Ridesharing to the Test: Efficient and Scalable Solutions and
  the Power of Dynamic Vehicle Relocation
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Panayiotis Danassis
Marija Sakota
Aris Filos-Ratsikas
Boi Faltings
89
11
0
17 Dec 2019
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Michael J. Curry
John P. Dickerson
Karthik Abinav Sankararaman
A. Srinivasan
Yuhao Wan
Pan Xu
31
6
0
30 Nov 2019
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao
Fei Wu
Jintao Ke
Xianfeng Tang
Yitian Jia
Siyu Lu
Pinghua Gong
Jieping Ye
Z. Li
GNN
67
1,107
0
23 Feb 2018
1