Autonomous driving paper index
Is Ride-Hailing Competing or Cooperating with Subway? A Survey in Chinese Cities
One-line summary
Abstract Ride-hailing services, characterized by convenience, flexibility, and on-demand availability, have substantially reshaped urban mobility patterns, posing uncertain impacts on subway ridership.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Abstract Ride-hailing services, characterized by convenience, flexibility, and on-demand availability, have substantially reshaped urban mobility patterns, posing uncertain impacts on subway ridership. To clarify the competitive and cooperative dynamics between two modes, a latent class choice model (LCCM) is employed using revealed preference survey data ( N = 2061) collected from Beijing, Shanghai, and Shenzhen in China. Three distinct commuter segments are identified through latent class analysis, and results indicate that ride-hailing and subway predominantly exhibit a competitive relationship (46.34%). Moreover, user heterogeneity is evident across user groups. Competitive users ride more frequently and commute shorter distances, and carless users tend toward competitive relation, while cooperative behaviors are linked to income and metro accessibility. Interestingly, commonly used spatial proximity assumption in previous studies exerts few influences on empirical modal interactions. Designing user-targeted takeaways for different transportation participants, this work offers valuable insights for improving multimodal travel efficiency and sustainable urban mobility.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments