Abouelela, M., Chaniotakis, E., & Antoniou, C. (2023). Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights. Transportation Research Part A: Policy and Practice, 169, 103602. doi:10.1016/j.tra.2023.103602

Kamargianni, M., Georgouli, C., Tronca, L. P., & Chaniotakis, M. (2022). Changing transport planning objectives during the Covid-19 lockdowns: Actions taken and lessons learned for enhancing sustainable urban mobility planning. Cities, 103873. doi:10.1016/j.cities.2022.103873

Abouelela, M., Tirachini, A., Chaniotakis, E., & Antoniou, C. (2022). Characterizing the adoption and frequency of use of a pooled rides service. Transportation Research Part C: Emerging Technologies, 138, 103632. doi:10.1016/j.trc.2022.103632

Sil, A., Chaniotakis, E., Roy, U. K., & Antoniou, C. (2022). Exploring satisfaction for transfers at intermodal interchanges: A comparison of Germany and India. Journal of Public Transportation, 24, 100005. doi:10.1016/j.jpubtr.2022.100005

Chaniotakis, E., Abouelela, M., Antoniou, C., & Goulias, K. (2022). Investigating social media spatiotemporal transferability for transport. Communications in Transportation Research, 2, 100081. doi:10.1016/j.commtr.2022.100081

Narayanan, S., Chaniotakis, E., & Antoniou, C. (2022). Modelling reservation-based shared autonomous vehicle services: A dynamic user equilibrium approach. Transportation Research Part C: Emerging Technologies, 140, 103651. doi:10.1016/j.trc.2022.103651

Pappelis, D., Kamargianni, M., & Chaniotakis, E. (2022). On Modelling the Dynamics of Within-day Travel Behaviour.

Yfantis, L., Stebbins, S., Gerostathopoulos, I., Djukic, T., Casas, J., Garcia, D., . . . Chaniotakis, M. (2021). A Software-Agnostic Agent-based Platform for Modelling Emerging Mobility Systems. 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE. doi:10.1109/mt-its49943.2021.9529332

Grandhi, B. S., Chaniotakis, E., Thomann, S., Laube, F., & Antoniou, C. (2021). An estimation framework to quantify railway disruption parameters. IET Intelligent Transport Systems. doi:10.1049/itr2.12095

Grandhi, S., Chaniotakis, E., Thomann, S., Laube, F., & Antoniou, C. (2021). An Operational Framework for Railway Disruptions: Quantifying Duration of an Incident and Predicting the Total Delay Caused.