Výpis publikací

KHULBE, Devashish, Chaogui KANG, Satish UKKUSURI a Stanislav SOBOLEVSKY. A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City. Data Science for Transportation. Springer, 2023, roč. 5, č. 2, s. 1-17. ISSN 2948-135X. Dostupné z: https://dx.doi.org/10.1007/s42421-023-00066-x.

HE, Mingyi, Jura BOGOMOLOV, Devashish KHULBE a Stanislav SOBOLEVSKY. Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model. Journal of Transport Geography. Elsevier, 2023, roč. 113, December, s. 1-7. ISSN 0966-6923. Dostupné z: https://dx.doi.org/10.1016/j.jtrangeo.2023.103732.

KHULBE, Devashish, Aliaksandr BELY, Ondřej MIKEŠ a Stanislav SOBOLEVSKY. Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13957. Cham: Springer, Cham, 2023, s. 453-461. ISBN 978-3-031-36807-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36808-0_32.

TIKHONOVA, Olga, Aleksandr ANTONOV, Jura BOGOMOLOV, Devashish KHULBE a Stanislav SOBOLEVSKY. Detecting a citizens' activity profile of an urban territory through natural language processing of social media data. In Boukhanovsky A., Krzhizhanovskaya V., Klimova A. Procedia Computer Science. Amsterdam: Elsevier, 2022, s. 11-22. ISSN 1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2022.10.203.