Xilei Zhao
Xilei Zhao
Assistant Professor, Civil and Coastal Engineering, University of Florida
Verified email at essie.ufl.edu - Homepage
Cited by
Cited by
Integrating ridesourcing services with public transit: An evaluation of traveler responses combining revealed and stated preference data
X Yan, J Levine, X Zhao
Transportation Research Part C: Emerging Technologies 105, 683-696, 2019
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
X Zhao, X Yan, A Yu, P Van Hentenryck
Travel Behaviour and Society 20, 22-35, 2020
COPEWELL: A Conceptual Framework and System Dynamics Model for Predicting Community Functioning and Resilience After Disasters
JM Links, BS Schwartz, S Lin, N Kanarek, J Mitrani-Reiser, TK Sell, ...
Disaster Medicine and Public Health Preparedness, 2017
Using machine learning for direct demand modeling of ridesourcing services in Chicago
X Yan, X Liu, X Zhao
Journal of Transport Geography 83, 102661, 2020
Form-finding analysis for a new type of cable–strut tensile structures generated by semi-regular tensegrity
J Lu, X Dong, X Zhao, X Wu, G Shu
Advances in Structural Engineering 20 (5), 772-783, 2017
Modelling and interpreting pre-evacuation decision-making using machine learning
X Zhao, R Lovreglio, D Nilsson
Automation in Construction 113, 103140, 2020
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems
X Zhao, JC Spall
2016 American Control Conference (ACC), 803-808, 2016
Assessing food system vulnerabilities: a fault tree modeling approach
GM Chodur, X Zhao, E Biehl, J Mitrani-Reiser, R Neff
BMC public health 18 (1), 1-11, 2018
Form finding analysis of cable-strut tensile dome based on tensegrity torus
J Lu, X Wu, X Zhao, G Shu
Engineering Mechanics 32 (6), 66-71, 2015
Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities
X Yan, X Zhao, Y Han, P Van Hentenryck, T Dillahunt
Transportation Research Part A: Policy and Practice 148, 481-495, 2021
Modeling heterogeneity in mode-switching behavior under a mobility-on-demand transit system: An interpretable machine learning approach
X Zhao, X Yan, P Van Hentenryck
arXiv preprint arXiv:1902.02904, 2019
Using Artificial Intelligence for Safe and Effective Wildfire Evacuations
X Zhao, R Lovreglio, E Kuligowski, D Nilsson
Fire Technology, 2020
A Markovian Framework for Modeling Dynamic Network Traffic
X Zhao, JC Spall
Annual American Control Conference (ACC), 6616-6621, 2018
Modeling the cybersecurity of hospitals in natural and man-made hazards
X Zhao, I Miers, M Green, J Mitrani-Reiser
Sustainable and Resilient Infrastructure 4 (1), 36-49, 2019
Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
Y Xu, X Yan, X Liu, X Zhao
Transportation Research Part A: Policy and Practice 144, 170-188, 2021
Modeling Transportation Networks and Urban Traffic Dynamics: A Markovian Framework
X Zhao
Johns Hopkins University, 2017
Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data
Y Xu, X Yan, VP Sisiopiku, LA Merlin, F Xing, X Zhao
arXiv preprint arXiv:2010.12006, 2020
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data
X Liu, P Van Hentenryck, X Zhao
arXiv preprint arXiv:1911.05777, 2019
Developing a multi-hazard weighting scheme for community resilience indicators
X Zhao, J Mitrani-Reiser
16th World Conference on Earthquake Engineering (16WCEE), 2017
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
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