References
- Štefancová, V., Nedeliaková, E. & López-Escolano, C. (2017). Connection of dynamic quality modeling and Total Service Management in Railway Transport Operation. Procedia Engineering 192, 834–839. DOI: 10.1016/j.proeng.2017.06.144.
- Gkiotsalitis, K. & Cats, O. (2020). Public transport planning adaption under the COVID-19 pandemic crisis: Literature review of research needs and directions. Transport Reviews 41(3), 374-392. DOI: 10.1080/01441647.2020.1857886.
- Konečný, V., Brídziková, M. & Senko, Š. (2021). Impact of covid-19 and anti-pandemic measures on the sustainability of demand in suburban bus transport. the case of the Slovak Republic. Sustainability 13(9), 4967. DOI: 10.3390/su13094967.
- Bulková, Z., Dedík, M., Štefancová, V. & Gašparík, J. (2022). Proposal of the systematic measures to support rail passenger transport during the pandemic period. In 26th International Scientific Conference Transport Means 2022, 5-7 October 2022 (pp. 378-383). Kaunas, Virtual conference. DOI: 10.5755/e01.2351-7034.2022.P1.
- Dedík, M., Zitrický, V., Valla, M., Gašparík, J. & Figlus, T. (2022). Optimization of timetables on the Bratislava–Žilina–Košice route in the period after the end of the COVID-19 pandemic. Sustainability 14(9), 5031. DOI: 10.3390/su14095031.
- Subbarao, S.V.S. & Kadali, R. (2022). Impact of COVID-19 pandemic lockdown on the public transportation system and strategic plans to improve PT ridership: a review. Innovative Infrastructure Solutions 7(1), 97. DOI:10.1007/s41062-021-00693-9.
- Tardivo, A., Carrillo Zanuy, A. & Sánchez Martín, C. (2021). Covid-19 impact on transport: A paper from the Railways’ Systems Research Perspective. Transportation Research Record: Journal of the Transportation Research Board 2675(5), 367-378. DOI: 10.1177/0361198121990674.
- Sham, R., Xuen, C.K., Ting, L.Y. & Hye, M.N. (2022). Public transport, ridership and safe travelling environment during COVID-19 pandemic. Environment-Behaviour Proceedings Journal 7(19), 339–346. DOI:10.21834/ebpj.v7i19.3217.
- Aghabayk, K., Esmailpour, J. & Shiwakoti, N. (2021). Effects of COVID-19 on rail passengers’ crowding perceptions. Transportation Research Part A: Policy and Practice 154, 186-202. DOI: 10.1016/j.tra.2021.10.011.
- Auad, R., Dalmeijer, K., Riley, C., Santanam, T., Trasatti, A., Van Hentenryck, P. & Zhang, H. (2021). Resiliency of on-demand Multimodal Transit Systems during a pandemic. Transportation Research Part C: Emerging Technologies 133, 103418. DOI: 0.1016/j.trc.2021.103418.
- Dolinayova, A., Masek, J., Kendra, M., Čamaj, J., Grandsart, D., Marlier, E., Colzani, P., Arena, M., Paragreen, J., Navaratnam, P., Brennan, M. & Paleta, T. (2018). Research of the passenger’s preferences and requirements for the travel companion application. Journal of Advanced Transportation 2018, 8092147, DOI: 10.1155/2018/8092147.
- Pálková, A. (2022). Measures to support the introduction of an integrated transport system in the Banská Bystrica region. Diploma Thesis, University of Žilina, Žilina, Slovakia.
- Ceder, A. & Jiang, Y. (2020). Route guidance ranking procedures with human perception consideration for personalized public transport service. Transportation Research Part C: Emerging Technologies 118, 102667. DOI: 10.1016/j.trc.2020.102667.
- Lucchesi, S.T., Tavares, V.B., Rocha, M.K. & Larranaga, A.M. (2022). Public transport covid-19-safe: New barriers and policies to implement effective countermeasures under user’s safety perspective. Sustainability 14(5), 2945. DOI: 10.3390/su14052945.
- Korfant, M. & Gogola, M. (2017). Possibilities of using traffic planning software in Bratislava. In 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport-Transcom 2017. 31 May – 2 June 2017 (pp. 433-438). High Tatras, Slovakia. DOI: 10.1016/j.proeng.2017.06.075.
- Stańczyk, T.L. & Hyb, L. (2019). Technological and organisational challenges for e-mobility. The Archives of Automotive Engineering – Archiwum Motoryzacji 84(2), 57-70. DOI: 10.14669/AM.VOL84.ART5.
- Klos-Adamkiewics, Z. & Gutowski, P. (2022). The Outbreak of COVID-19 Pandemic in Relation to Sense of Safety and Mobility Changes in Public Transport Using the Example of Warsaw. Sustainability 14(3), 1780. DOI: 10.3390/su14031780.
- Bratislava region (2020, August). Special measures in transport. Retrieved November 9, 2022, from https://bratislavskykraj.sk/mimoriadne-opatrenia-v-doprave/
- De Borger, B. & Proost, S. (2022). Covid-19 and Optimal Urban Transport policy. Transportation Research Part A: Policy and Practice 163, 20–42. DOI: 10.1016/j.tra.2022.06.012.
- Ďurneková, S. (2022). Customer requirements for public mass passenger transport in connection with the Covid-19 pandemic. Bachelor Thesis, University of Žilina, Žilina, Slovakia.
- Yang, Y., Yan, J., Guo, J., Kuang, Y., Yin, M., Wang, S. & Ma, C. (2021). Driving behavior analysis of city buses based on real-time GNSS traces and road information. Sensors 21(3), 687. DOI: 10.3390/s21030687.
- Zalar, D., Uspalyte-Vitkuniene, R., Rebolj, D. & Lep, M. (2018). A methodological framework for measuring the level of convenience of transport ticketing systems. Transport 33(4), 1005-1016. DOI: 10.3846/16484142.2017.1300783.
- Wang, P., Chen, X., Chen, J., Hua, M. & Pu, Z. (2021). A two‐stage method for bus passenger load prediction using automatic passenger counting data. IET Intelligent Transport Systems 15(2), 248–260. DOI: 10.1049/itr2.12018.
- Siebert, M. & Ellenberger, D. (2019). Validation of automatic passenger counting: Introducing the t-test-induced equivalence test. Transportation 47(6), 3031–3045. DOI: 10.1007/s11116-019-09991-9.
- Liu, L. & Chen, R.-C. (2017). A novel passenger flow prediction model using Deep Learning Methods. Transportation Research Part C: Emerging Technologies 84, 74–91. DOI: 10.1016/j.trc.2017.08.001.
- Li, Y. & Ma, C. (2023). Short-time bus route passenger flow prediction based on a secondary decomposition integration method. Journal of Transportation Engineering, Part A: Systems 149(2), 04022132. DOI: 10.1061/jtepbs.teeng-7496.