Xilei Zhao
Biographic Data
| ID | 6580068 |
|---|---|
| NAME | Xilei Zhao |
| GIVEN NAMES | Xilei |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO X |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0002-7903-4806 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 29 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Examining the short-term impact of evacuation orders on traffic conditions
Gamification for Wildfire Education and Safety Training
A data-driven, scenario-based human evacuation model for passenger ships addressing hybrid uncertainty
In a disaster at sea, the safe and timely removal of passengers from the ship is paramount. Here, a human evacuation plan enables passengers to be swiftly displaced from a risk area to one less so. Despite existing research on evacuation planning, there is a need for a more comprehensive model that considers various uncertainties and factors. This paper proposes an optimization evacuation model that balances uncertain variables, including passeng…
Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery
Destination unknown
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning
Wildfire evacuation decision modeling using GPS data
Machine learning approach for spatial modeling of ridesourcing demand
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Assessing food system vulnerabilities
FTA of potential routes to food system failure provides a tool that allows for consideration of the entirety of the food system; has potential to provide a quantitative assessment of food system failure and recovery; and is able to capture short-term and long-term hazards in a single framework. This systems modeling approach highlights an extensive list of vulnerability points throughout the food system, and underscores the message that reducing …
Assessing food system vulnerabilities
FTA of potential routes to food system failure provides a tool that allows for consideration of the entirety of the food system; has potential to provide a quantitative assessment of food system failure and recovery; and is able to capture short-term and long-term hazards in a single framework. This systems modeling approach highlights an extensive list of vulnerability points throughout the food system, and underscores the message that reducing …
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Wildfire evacuation decision modeling using GPS data
Machine learning approach for spatial modeling of ridesourcing demand
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning
A data-driven, scenario-based human evacuation model for passenger ships addressing hybrid uncertainty
In a disaster at sea, the safe and timely removal of passengers from the ship is paramount. Here, a human evacuation plan enables passengers to be swiftly displaced from a risk area to one less so. Despite existing research on evacuation planning, there is a need for a more comprehensive model that considers various uncertainties and factors. This paper proposes an optimization evacuation model that balances uncertain variables, including passeng…
Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery
Destination unknown
Gamification for Wildfire Education and Safety Training
Examining the short-term impact of evacuation orders on traffic conditions
Computer Science (7 works) · Geography (6 works) · Engineering (5 works) · Evacuation and Crowd Dynamics (5 works) · Transport engineering (4 works) · Transportation Planning and Optimization (4 works) · Urban Transport and Accessibility (4 works) · Artificial Intelligence (3 works) · Environmental health (3 works) · Machine learning (3 works)