Xilei Zhao
University of Florida
H-index: 17
North America-United States
Top articles of Xilei Zhao
Destination unknown: Examining wildfire evacuee trips using GPS data
Journal of Transport Geography
2024/5/1
Xilei Zhao
H-Index: 9
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
arXiv preprint arXiv:2404.07399
2024/4/11
Xiaojian Zhang
H-Index: 20
Xilei Zhao
H-Index: 9
Analyzing Risk Perception, Evacuation Decision and Delay Time: A Case Study of the 2021 Marshall Fire in Colorado
Travel Behaviour and Society
2024/4/1
Xiang Yan
H-Index: 5
Xilei Zhao
H-Index: 9
Modeling protective action decision-making in earthquakes by using explainable machine learning and video data
Scientific reports
2024/3/5
Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery
2024/3/5
Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods
International Journal of Disaster Risk Science
2024/2
Xilei Zhao
H-Index: 9
Digital Technologies for Fire Evacuations
2024/1/26
Social Vulnerabilities and Wildfire Evacuations: A Case Study of the 2019 Kincade Fire
arXiv preprint arXiv:2402.06639
2024/1/23
Xilei Zhao
H-Index: 9
AI for large-scale evacuation modeling: promises and challenges
2024/1/1
Xilei Zhao
H-Index: 9
Erica Kuligowski
H-Index: 26
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning
Journal of Transport Geography
2024/1/1
A data-driven, scenario-based human evacuation model for passenger ships addressing hybrid uncertainty
International Journal of Disaster Risk Reduction
2024/1/1
Xilei Zhao
H-Index: 9
Spatial equity of micromobility systems: A comparison of shared E-scooters and docked bikeshare in Washington DC
Transport policy
2024/1/1
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
2023/11/13
Mobility-on-Demand Transit for Smart and Sustainable Cities
2023/6/25
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility
arXiv preprint arXiv:2306.13897
2023/6/24
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires
arXiv preprint arXiv:2304.06233
2023/4/13
Evaluating shared e-scooters’ potential to enhance public transit and reduce driving
Transportation research part D: transport and environment
2023/4/1
Travel Demand Forecasting: A Fair AI Approach
arXiv preprint arXiv:2303.01692
2023/3/3
Xiaojian Zhang
H-Index: 20
Xilei Zhao
H-Index: 9
Predicting and assessing wildfire evacuation decision-making using machine learning: findings from the 2019 Kincade Fire
Fire Technology
2023/3
Daniel Nilsson
H-Index: 8
Xilei Zhao
H-Index: 9
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach
IEEE Transactions on Intelligent Transportation Systems
2023/1/31
Co-Authors
