| Operations and Management of On-Demand Mobility Systems |
| 按需出行系统的运营管理 |
| Submission Deadline: June 28, 2026 |
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| Chair: |
Co-chairs: |
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| Ruijie Li |
Yuanyuan Li |
Dongdong He |
| Southwest Jiaotong University, China |
Harbin Institute of Technology, China |
Dalian University of Technology, China |
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| Keywords: |
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- On-Demand Mobility (按需出行)
- Demand-Responsive Transport (需求响应交通)
- Shared Mobility Services (共享出行服务)
- Mobility as a Service (MaaS) (出行即服务)
- Operations Management (运营管理)
- Service Design and Governance (服务设计与治理)
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| Topics: |
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- Demand Modeling and Behavioral Analysis in On-Demand Mobility (按需出行需求建模与行为分析)
- Dynamic Dispatching, Supply–Demand Matching, and Fleet Allocation (动态调度、供需匹配与运力配置)
- Optimization of Demand-Responsive Transport and Shared Mobility Services (需求响应交通与共享出行服务优化)
- Multimodal Coordination and Integrated Services under MaaS (MaaS背景下的多模式协同与一体化服务)
- Platform Governance, Pricing Mechanisms, and Policy Evaluation (平台治理、定价机制与政策评估)
- Autonomous Driving and Intelligent Technologies for On-Demand Mobility Innovation (自动驾驶与智能技术驱动的按需出行创新)
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| Summary: |
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- On-demand mobility has emerged as a key direction for innovation in urban transportation services. Service models such as ride-hailing, demand-responsive transport (DRT), shared mobility, and Mobility as a Service (MaaS) are reshaping the organization of supply, operational mechanisms, and governance structures of transportation systems. Compared with traditional systems, on-demand mobility is characterized by highly dynamic demand, real-time supply-demand matching, diversified service modes, and platform-oriented operations, posing significantly more complex challenges for operations management and system optimization.There is a growing need for systematic research on on-demand mobility systems, including demand dynamics, passenger and driver behavior, dynamic dispatching and fleet management, pricing and incentive mechanisms, multi-modal coordination, as well as platform regulation and service equity. In particular, with the rapid development of MaaS and autonomous driving technologies, the organization and operations management of on-demand mobility systems have become an important interdisciplinary research area at the intersection of transportation engineering, operations research, and artificial intelligence.This session aims to provide a platform for exchanging recent advances in theory, methodology, and applications related to on-demand mobility. It seeks to promote innovative research and practical solutions for the development of next-generation urban mobility systems.
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- 按需出行已成为城市交通服务创新的重要方向。以网约车、需求响应公交、共享出行及 MaaS 为代表的服务模式，正在重塑交通系统的供给组织、运营方式与治理结构。与传统交通系统相比，按需出行具有需求动态性强、供需匹配实时性高、服务模式多元化和平台主导特征明显等特点，其运营管理面临更复杂的优化与治理问题。围绕按需出行系统，当前亟需在需求演化规律、乘客与驾驶员行为、动态调度与运力配置、定价与激励机制、多模式协同组织以及平台监管与公平治理等方面开展深入研究。特别是在 MaaS 与自动驾驶技术持续发展的背景下，按需出行系统的组织优化与运营管理正在成为交通工程、管理科学和人工智能交叉融合的重要研究领域。本专题旨在搭建按需出行研究与实践的交流平台，探讨相关理论、方法与应用进展，促进面向未来城市交通服务系统的创新发展。
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