De Zhao
Biographic Data
| ID | 6313007 |
|---|---|
| NAME | De Zhao |
| FAMILY NAME | De Zhao |
| SIGNATURE | DE ZHAO |
| AFFILIATIONS | Southeast University |
| ORCID | 0000-0002-3995-4878 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Trend Similarity-Enhanced Holiday Intercity Mobility Flow Prediction Under Historical Data Scarcity
Intercity mobility management plays a critical role in promoting urban sustainability and regional integration. Accurate prediction of mobility flows is essential for optimizing transport operations and enhancing resource allocation, especially during holidays. However, event-induced scarcity of reliable historical data makes it challenging for existing methods to capture the abrupt changes in holiday mobility patterns. To address these challenge…
Reframing the holiday peak
Exploring the spatial distribution structure of intercity human mobility networks under multimodal transportation systems in China
Dynamic patterns of intercity mobility and influencing factors
Spatiotemporal dynamics and determining factors of intercity mobility
Isolating high-priority metro and feeder bus transfers using smart card data
Comparative studies on anxiolytic activities and flavonoid compositions of Passiflora edulis ‘edulis’ and Passiflora edulis ‘flavicarpa’
Comparative studies on anxiolytic activities and flavonoid compositions of Passiflora edulis ‘edulis’ and Passiflora edulis ‘flavicarpa’
Isolating high-priority metro and feeder bus transfers using smart card data
Spatiotemporal dynamics and determining factors of intercity mobility
Reframing the holiday peak
Exploring the spatial distribution structure of intercity human mobility networks under multimodal transportation systems in China
Dynamic patterns of intercity mobility and influencing factors
Trend Similarity-Enhanced Holiday Intercity Mobility Flow Prediction Under Historical Data Scarcity
Intercity mobility management plays a critical role in promoting urban sustainability and regional integration. Accurate prediction of mobility flows is essential for optimizing transport operations and enhancing resource allocation, especially during holidays. However, event-induced scarcity of reliable historical data makes it challenging for existing methods to capture the abrupt changes in holiday mobility patterns. To address these challenge…
Human Mobility and Location-Based Analysis (6 works) · Transportation Planning and Optimization (5 works) · Urban Transport and Accessibility (4 works) · China (3 works) · Economic geography (3 works) · Engineering (3 works) · Geography (3 works) · Transport engineering (3 works) · Computer Science (2 works) · Biochemical Analysis and Sensing Techniques (1 work)