Publications

Publications

Peer-Reviewed Publications

* Lab members are in bold font.

Under review

[6] Xu, Y.*, Yan, X., Sisiopiku, V. P., Merlin, L. A., Xing, F., & Zhao, X. (2021). Micromobility trip origin and destination inference using General Bikeshare Feed Specification (GBFS) data. (Under review)

[5] Yuan, F., Zhao, X., Liu, R.*, & Li, M. Supporting crisis response with Internet of Things (IoT) based systems. (Under review)

[4] Merlin, L. A.*, Yan, X., Xu, Y., & Zhao, X. A segment-level model of shared, electric scooter origins and destinations. (Under review)

[3] Xu, Y., Yan, X., Liu, X., & Zhao, X.* Identifying key factors associated with ride-splitting adoption rate and modeling their nonlinear relationships. (Under review)

[2] Noei, S.*, Zhao, X., & Crane, C. Longitudinal control of cooperative autonomous vehicles in traffic microsimulation. (Under review)

[1] Yan, X., Zhao, X.*, Han, Y., Van Hentenryck, P., & Dillahunt, T. Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities. (Under review)

Published/In Press

[23] Zhang, X., & Zhao, X.* (2021). A clustering-aided ensemble method for predicting ridesourcing demand in Chicago. Proceedings of Transportation Research Board 100th Annual Meeting. (Accepted)

[22] Wang, X.*, Yan, X., Zhao, X., & Cao, Z. (2021). Identifying latent shared mobility preference segments in low-resourced communities: ride-hailing, fixed-route bus, and mobility-on-demand transit. Proceedings of Transportation Research Board 100th Annual Meeting. (Accepted)

[21] Zhao, X.*, Wang, X., Yan, X., & Cao, Z. (2021). Assessing preference heterogeneity for Mobility-on-Demand transit service in low-income communities: A latent segmentation based decision tree method. Proceedings of Transportation Research Board 100th Annual Meeting. (Accepted)

[20] Noei, S.*, & Zhao, X. (2021). Longitudinal dynamics in traffic microsimulation. Proceedings of Transportation Research Board 100th Annual Meeting. (Accepted)

[19] Xu, Y.*, Yan, X., Sisiopiku, V. P., Merlin, L. A., Xing, F., & Zhao, X. (2021). Micromobility trip origin and destination inference using General Bikeshare Feed Specification (GBFS) data. Proceedings of Transportation Research Board 100th Annual Meeting. (Accepted)

[18] Zhao, X.*, Lovreglio, R., Kuligowski, E., & Nilsson, D. (2020). Using Artificial Intelligence for safe and effective wildfire evacuations. Fire Technology.

[17] Zhao, X., Yan, X.*, Yu, A., & Van Hentenryck, P. (2020). Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models. Travel Behaviour and Society, 20, 22-35.

[16] Yan, X., Liu, X., & Zhao, X.* (2020). Using machine learning for direct demand modeling of ridesourcing services in Chicago. Journal of Transport Geography, 83, 102661.

[15] Zhao, X.*, Lovreglio, R., & Nilsson, D. (2020). Modelling and interpreting pre-evacuation decision-making using machine learning. Automation in Construction, 113, 103140.

[14] Zhao, X.*, Zhou, Z., Yan, X., & Van Hentenryck, P. (2020). Distilling black-box travel mode choice model for behavioral interpretation. Proceedings of Transportation Research Board 99th Annual Meeting, Washington, DC.

[13] Zhao, X., Liu, X., & Yan, X.* (2020). Modeling demand for ridesourcing services in the City of Chicago: A direct demand machine learning approach. Proceedings of Transportation Research Board 99th Annual Meeting, Washington, DC.

[12] Liu, X., Van Hentenryck, P., & Zhao, X.* (2020). Optimization models for estimating transit network origin-destination flows with AVL/APC data. Proceedings of Transportation Research Board 99th Annual Meeting, Washington, DC.

[11] Yan, X.*, Levine, J., & Zhao, X. (2019). Integrating ridesourcing services with public transit: An evaluation of traveler responses combining revealed and stated preference data. Transportation Research Part C: Emerging Technologies, 105, 683-696.

[10] Zhao, X.*, Miers, I., Green, M., & Mitrani-Reiser, J. (2019). Modeling the cybersecurity of hospitals in natural and man-made hazards. Sustainable and Resilient Infrastructure, 4(1), 36-49.

[9] Zhao, X.*, & Spall, J. C. (2019). An integrated model for transportation networks and travel time reliability. Proceedings of Transportation Research Board 98th Annual Meeting.

[8] Zhao, X.*, & Spall, J. C. (2018). A Markovian framework for modeling dynamic network traffic. Proceedings of American Control Conference (ACC), 6616-6621, Milwaukee, WI.

[7] Zhao, X.*, Chodur, G., Biehl, E., Neff, R., & Mitrani-Reiser, J. (2018). Food security in the aftermath of a seismic event. Proceedings of 11th National Conference on Earthquake Engineering (11NCEE), Los Angeles, CA.

[6] Chodur, G., Zhao, X., Biehl, E., Mitrani-Reiser, J., & Neff, R.* (2018). Assessing food system vulnerabilities: A fault tree modeling approach. BMC Public Health, 18(1), 817.

[5] Links, J. M.*, Schwartz, B. S., Lin, S., Kanarek, N., Mitrani-Reiser, J., Sell, T. K., Boddie, C. R., Ward, D., Slemp, C., Burhans, R., Gill, K., Igusa, T., Zhao, X., Aguirre, B., Trainor, J., Nigg, J., Inglesby, T., Carbone, E., & Kendra, J. M. (2017). COPEWELL: A conceptual framework and system dynamics model for predicting community functioning and resilience after disasters. Disaster Medicine and Public Health Preparedness, 12(1), 127-137.

[4] Zhao, X.*, & Mitrani-Reiser, J. (2017). Developing a multi-hazard weighting scheme for community resilience indicators. Proceedings of the 16th World Conference on Earthquake Engineering (16WCEE), Santiago, Chile.

[3] Lu, J.*, Dong, X., Zhao, X., Wu, X., & Shu, G. (2017). Form-finding analysis of a new type of cable-strut tensile structures generated by semi-regular tensegrity. Advances in Structural Engineering, 20(5), 772–783.

[2] Zhao, X.*, & Spall, J. C. (2016). Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. Proceedings of American Control Conference (ACC), 803–808, Boston, MA.

[1] Lu, J.*, Wu, X., Zhao, X., & Shu, G. (2015). Form finding analysis of cable-strut tensile dome based on tensegrity torus. Engineering Mechanics, 32(6), 66–71. (in Chinese)

Theses and Dissertations

[3] Noei, S. (2020). Longitudinal control in traffic microsimulation. Ph.D. Dissertation, University of Florida.

[2] Zhao, X. (2017). Multi-scale community resilience modeling for natural and manmade hazards. Ph.D. Dissertation, Johns Hopkins University.

[1] Zhao, X. (2017). Modeling transportation networks and urban traffic dynamics: A Markovian framework. Master’s Thesis, Johns Hopkins University.

Patent

[1] Lu, J., Zhao, X., Shu, G., Qiang, H., Cao, X., & Wang, Z., “A new type of cable-strut tensile roof system and its construction method.” China Patent No.201310237601.X, issued October 23, 2013.