Uncovering latent urban mobility patterns via smart-card and survey data fusion
Khoa D. Vo, Seung Woo Ham, Mousumi Roy, Swapnil Mishra, Prateek Bansal · 2026
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Description
Khoa D. Vo's team recovered full multimodal urban travel flows by fusing household travel surveys with smart-card transit data, a scalable answer to sparse multimodal observation. Their system estimates cross-modal flow ratios from surveys and applies them to time-varying transit flows, recovering private-vehicle and walking demand hourly and by day of week.
Validation in Singapore and Seoul showed strong agreement, with common parts of commuters above 0.70 and R-squared above 0.60. Recovered flows showed transit most competitive at intermediate distances of eleven to sixteen kilometres, and transit-only data underestimating peak epidemic infections by up to fifty percent, informing resilient transport planning.
Catalog record
| CREATOR | Khoa D. Vo, Seung Woo Ham, Mousumi Roy, Swapnil Mishra, Prateek Bansal |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 79 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |