Demand-Responsive Travel and Multimodal Transportation Network Resilience
需求响应出行与多模式交通网络韧性
Chair: | Co-chairs: | |||
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Kai Liu | Yu Wang | Wenjuan E | Tian Lei | Na Cui |
Dalian University of Technology, China | Dalian Jiaotong University, China | Soochow University, China | Shenzhen Technology University, China | University of Jinan, China |
Keywords: | Topics: |
· Demand Response (需求响应) · Multi-Mode Network (多模式网络) · Dynamic Pricing (动态定价) · Cascading Failure (级联失效) · Data-Driven (数据驱动) · Digital Twin (数字孪生) | · Modeling and Prediction of Demand-Responsive Travel (需求响应出行建模与预测) · Multi-Modal Synergistic Optimization and Scheduling (多模式协同优化与调度) · Evaluation and Measurement of Multi-modal Network Resilience (多模式网络韧性评估与度量) · Resilience Enhancement Strategies (韧性提升策略) · Policies, Governance and Business Models (政策、治理与商业模式) · Case Studies and Empirical Analysis (案例研究与实证分析) |
Summary:
· Focusing on the intersection of "demand-responsive mobility" and "network resilience", this aims to explore how to leverage data-driven, artificial intelligence, and collaborative optimization technologies to achieve efficient integration of demand-responsive services with existing transportation modes, and enhance the robustness, resilience, and adaptability of the overall network under both normal and abnormal conditions.
· 聚焦“需求响应出行”与“网络韧性”的交叉领域，旨在探讨如何借助数据驱动、人工智能、协同优化等技术，实现需求响应服务与既有交通模式的高效融合，并提升整体网络在常态与非常态下的鲁棒性、恢复力和适应性。
Submission Deadline: 2025/10/30