Xiaojian Zhang
Xiaojian Zhang
PhD Candidate of Civil Engineering, University of Florida
Verified email at - Homepage
Cited by
Cited by
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
Machine learning approach for spatial modeling of ridesourcing demand
X Zhang, X Zhao
Journal of Transport Geography 100 (C), 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
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
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
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
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
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
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
Travel Demand Forecasting: A Fair AI Approach
X Zhang, Q Ke, X Zhao
IEEE Transactions on Intelligent Transportation Systems, 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
Situational-aware multi-graph convolutional recurrent network (sa-mgcrn) for travel demand forecasting during wildfires
X Zhang, X Zhao, Y Xu, R Lovreglio, D Nilsson
arXiv preprint arXiv:2304.06233, 2023
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
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
ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
Y Xu, Q Ke, X Zhang, X Zhao
GeoInformatica, 1-26, 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
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
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