3 accepted papers
Origin-Destination (OD) flow matrices are critical for urban mobility analysis, supporting traffic forecasting, infrastructure planning, and policy design. Existing methods face two key limitations: (1) reliance on costly auxiliary features (e.g., Points of Interest, socioeconomic statistics) with l
Human mobility nowcasting is crucial for public safety, especially during disasters when human mobility significantly differs from normal patterns, posing unique challenges. Recent studies have shown a correlation between disaster-related social media information and abnormal patterns in human mobil…
Accurate forecasting of granular socioeconomic indicators, such as GDP, is essential for informed economic decision-making. Despite pioneering efforts to harness multi-modal data using traditional supervised or self-supervised learning methods for economic prediction, effectively integrating their f…