| A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikeshare X Yan, W Yang, X Zhang, Y Xu, I Bejleri, X Zhao Transportation research part D: transport and environment 101, 103088, 2021 | 76 | 2021 |
| Machine learning approach for spatial modeling of ridesourcing demand X Zhang, X Zhao Journal of Transport Geography 100 (C), 2022 | 28 | 2022 |
| The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago Y Liang, B Yu, X Zhang, Y Lu, L Yang Transportation research part A: policy and practice 172, 103661, 2023 | 24 | 2023 |
| A dynamic shared bikes rebalancing method based on demand prediction X Zhang, H Yang, R Zheng, Z Jin, B Zhou 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 238-244, 2019 | 17 | 2019 |
| Real-time forecasting of dockless scooter-sharing demand: A spatio-temporal multi-graph transformer approach Y Xu, X Zhao, X Zhang, M Paliwal IEEE Transactions on Intelligent Transportation Systems 24 (8), 8507-8518, 2023 | 12 | 2023 |
| Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning X Zhang, Z Zhou, Y Xu, X Zhao Journal of Transport Geography 114, 103782, 2024 | 11* | 2024 |
| Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery C Wang, Y Liu, X Zhang, X Li, V Paramygin, P Sheng, X Zhao, S Xu International Journal of Disaster Risk Reduction, 104371, 2024 | 9 | 2024 |
| Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery C Wang, Y Liu, X Zhang, X Li, V Paramygin, A Subgranon, P Sheng, ... Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security …, 2023 | 6 | 2023 |
| Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data X Yan, W Yang, X Zhang, Y Xu, I Bejleri, X Zhao arXiv preprint arXiv:2103.09060, 2021 | 6 | 2021 |
| Situational-aware multi-graph convolutional recurrent network (sa-mgcrn) for travel demand forecasting during wildfires X Zhang, X Zhao, Y Xu, D Nilsson, R Lovreglio Transportation Research Part A: Policy and Practice 190, 104242, 2024 | 5 | 2024 |
| Travel Demand Forecasting: A Fair AI Approach X Zhang, Q Ke, X Zhao IEEE Transactions on Intelligent Transportation Systems, 2024 | 5* | 2024 |
| ICN: Interactive convolutional network for forecasting travel demand of shared micromobility Y Xu, Q Ke, X Zhang, X Zhao GeoInformatica, 1-26, 2024 | 4 | 2024 |
| M7.8 Turkey-Syria Earthquake Impact Estimates from Near-real-time Crowdsourced and Remote Sensing Data SX Xuechun Li, Joshua Dimasaka, Xiaojian Zhang, Xiao Yu, Chenguang Wang, Xie ... DesignSafe-CI, 2023 | 4 | 2023 |
| Optimizing Demand-Responsive Paratransit Operations: A Mixed Integer Programming Approach X Zhang, Y Yang, AL Cochran, N McDonald, X Zhao 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2021 | 4 | 2021 |
| Modeling protective action decision-making in earthquakes by using explainable machine learning and video data X Zhang, X Zhao, D Baldwin, S McBride, J Bellizzi, ES Cochran, N Luco, ... Scientific reports 14 (1), 5480, 2024 | 3 | 2024 |
| Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach Z Xue, X Zhang, DO Prevatt, J Bridge, S Xu, X Zhao arXiv preprint arXiv:2404.07399, 2024 | 2 | 2024 |
| Earthquake early warning: Toward modeling optimal protective actions M Wood, X Zhang, X Zhao, SK McBride, N Luco, D Baldwin, T Cova 12th National Conference on Earthquake Engineering, 2022 | 2 | 2022 |
| Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian L Liu, X Zhang, S Jiang, X Zhao arXiv preprint arXiv:2407.15249, 2024 | | 2024 |
Xilei ZhaoAssistant Professor, Civil and Coastal Engineering, University of FloridaVerified email at essie.ufl.edu
