牛津经济研究院:2025年票价谈判的经济学-网约车市场的创新与融合报告(英文版).pdf |
下载文档 |
资源简介
Dynamic pricing then took this further, using real-time data to balance supply and demand. Together, these innovations reshaped on-demand transport and made it far more efficient. Yet even the most sophisticated pricing algorithms are optimised around market averages. They work well under typical conditions but do not fully account for the diversity of incomes, locations and trip circumstances found in emerging markets. Some riders are priced out when fares surge, and some drivers reject lowe
已阅读到文档的结尾了



