Future aware pricing and matching for sustainable on-demand ride pooling

• Main Authors: ZHANG, Xianjie, VARAKANTHAM, Pradeep, JIANG, Hao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: 'current; B-matching; Current matching; Customers drivers; Low carbon; Lowest price; Matchings; Number of vehicles; On demands; Taxi drivers; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8591; https://ink.library.smu.edu.sg/context/sis_research/article/9594/viewcontent/26710_Article_Text_30773_1_2_20230626.pdf
• Institution: Singapore Management University

The popularity of on-demand ride pooling is owing to the benefits offered to customers (lower prices), taxi drivers (higher revenue), environment (lower carbon footprint due to fewer vehicles) and aggregation companies like Uber (higher revenue). To achieve these benefits, two key interlinked challe...