Analysis of Passenger Behaviour During the Covid-19 Pandemic Situation

Štefancová, Vladimíra; Harantová, Veronika; Mazanec, Jaroslav; Mašek, Jaroslav; Foltýnová, Hana Brůhová

doi:10.2478/logi-2023-0019

References

Chan, H.F., Skali, A., Savage, D.A., Stadelmann, D. & Torgler, B. (2020). Risk attitudes and human mobility during the COVID-19 pandemic. Scientific Reports 10, 19931. DOI: 10.1038/s41598-020-76763-2.
Open DOI Search in Google Scholar Back to article
Hájnik, A., Čulík, K., Kalašová, A. & Kubíková, S.S. (2021). A statistical value of human life in Slovakia. In 14th International Scientific Conference on Sustainable, Modern and Safe Transport - TRANSCOM 2021, 26-28 May 2021 (pp. 284-290). Virtual. DOI: 10.1016/j.trpro.2021.06.032.
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
Xiong, C., Hu, S., Yang, M., Luo, W. & Zhang, L. (2020). Mobile device data reveal the dynamics of a positive relationship between human mobility and COVID-19 infections. Proceedings of the National Academy of Sciences USA 117(44), 27087–27089. DOI: 10.1073/pnas.2010836117.
Open DOI Search in Google Scholar Back to article
Monterde-i-Bort, H., Sucha, M., Risser, R. & Kochetova, T. (2022). Mobility patterns and mode choice preferences during the COVID-19 situation. Sustainability 14(2), 768. DOI: 10.3390/su14020768.
Open DOI Search in Google Scholar Back to article
Arimura, M., Ha, T.V., Okumura, K. & Asada, T. (2020). Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations. Transportation research interdisciplinary perspectives 7, 100212. DOI: 10.1016/j.trip.2020.100212.
Open DOI Search in Google Scholar Back to article
Schmidt, K., Sieverding, T., Wallis, H. & Matthies, E. (2021). COVID-19–A window of opportunity for the transition toward sustainable mobility? Transportation Research Interdisciplinary Perspectives 10, 100374. DOI: 10.1016/j.trip.2021.100374.
Open DOI Search in Google Scholar Back to article
Baig, F., Kirytopoulos, K., Lee, J., Tsamilis, E., Mao, R. & Ntzeremes, P. (2022). Changes in People’s Mobility Behavior in Greece after the COVID-19 Outbreak. Sustainability 14(6), 3567. DOI: 10.3390/su14063567.
Open DOI Search in Google Scholar Back to article
Kłos-Adamkiewicz, Z. & Gutowski, P. (2022). The Outbreak of the 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.
Open DOI Search in Google Scholar Back to article
Kim, J. & Kwan, M.P. (2021). The impact of the COVID-19 pandemic on people’s mobility: A longitudinal study of the US from March to September of 2020. Journal of Transport Geography 93, 103039. DOI: 10.1016/j.jtrangeo.2021.103039.
Open DOI Search in Google Scholar Back to article
Zafri, N.M., Khan, A., Jamal, S. & Alam, B.M. (2022). Risk perceptions of COVID-19 transmission in different travel modes. Transportation research interdisciplinary perspectives 13, 100548. DOI: 10.1016/j.trip.2022.100548.
Open DOI Search in Google Scholar Back to article
Ku, D., Um, J., Byon, Y., Kim, J. & Lee, S. (2021). Changes in passengers’ travel behavior due to covid-19. Sustainability (Basel, Switzerland) 13(14), 7974. DOI: 10.3390/su13147974.
Open DOI Search in Google Scholar Back to article
Bohman, H., Ryan, J., Stjernborg, V. & Nilsson, D. (2021). A study of changes in everyday mobility during the Covid-19 pandemic: As perceived by people living in Malmö, Sweden. Transport policy 106, 109-119. DOI: 10.1016/j.tranpol.2021.03.013.
Open DOI Search in Google Scholar Back to article
Simovic, S., Ivanisevic, T., Bradic, B., Cicevic, S. & Trifunovic, A. (2021). What causes changes in passenger behavior in south-east Europe during the COVID-19 pandemic? Sustainability (Basel, Switzerland) 13(15), 8398. DOI: 10.3390/su13158398.
Open DOI Search in Google Scholar Back to article
Aghdam, F.B., Sadeghi-Bazargani, H., Shahsavarinia, K., Jafari, F., Jahangiry, L. & Gilani, N. (2021). Investigating the COVID-19 related behaviors in the public transport system. Archives of Public Health (Archives Belges De Santé Publique) 79(1), 1-183. DOI: 10.1186/s13690-021-00702-4.
Open DOI Search in Google Scholar Back to article
Mostofi, H. (2021). The Association between ICT-Based Mobility Services and Sustainable Mobility Behaviors of New Yorkers. Energies 14(11), 3064. DOI: 10.3390/en14113064.
Open DOI Search in Google Scholar Back to article
Czech, K., Davy, A. & Wielechowski, M. (2021). Does the COVID-19 Pandemic Change Human Mobility Equally Worldwide? Cross-Country Cluster Analysis. Economies 9(4), 182. DOI: 10.3390/economies9040182.
Open DOI Search in Google Scholar Back to article
Koloushani, M., Ghorbanzadeh, M., Ozguven, E.E. & Ulak, M.B. (2021). Crash patterns in the COVID-19 pandemic: the tale of four Florida counties. Future transportation 1(3), 414-442. DOI: 10.3390/futuretransp1030023.
Open DOI Search in Google Scholar Back to article
Sun, S., Folarin, A.A., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Cummins, N., Matcham, F., Dalla Costa, G., Simblett, S., Leocani, L., Lamers, F., Sørensen, P.S., Buron, M., Zabalza, A., Guerrero Pérez, A.I., Penninx, B.W., Siddi, S., Haro, J.M., Myin-Germeys, I., Rintala, A., Wykes, T., Dobson, R.JB. & RADAR-CNS Consortium. (2020). Using smartphones and wearable devices to monitor behavioral changes during COVID-19. Journal of medical Internet research 22(9), 19992. DOI: 10.2196/19992.
Open DOI Search in Google Scholar Back to article
MacFarland, T.W. & Yates, J.M. (2016). Kruskal–Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks. Introduction to Nonparametric Statistics for the Biological Sciences Using R, Springer International Publishing, 177–211. DOI: 10.1007/978-3-319-30634-6_6.
Open DOI Search in Google Scholar Back to article
McKight, P.E. & Najab, J. (2010). Kruskal-Wallis Test. The Corsini Encyclopedia of Psychology 1, 1-10. DOI: 10.1002/9780470479216.corpsy0491.
Open DOI Search in Google Scholar Back to article
Tkaczynski, A. (2017). Segmentation using two-step cluster analysis. Segmentation in social marketing, Springer, Singapore, 109-125. DOI: 10.1007/978-981-10-1835-0_8.
Open DOI Search in Google Scholar Back to article
Sherwani, R.A.K., Shakeel, H., Awan, W.B., Faheem, M. & Aslam, M. (2021). Analysis of COVID-19 data using neutrosophic kruskal wallis H test. BMC Medical Research Methodology 21(1), 1-215. DOI: 10.1186/s12874-021-01410-x.
Open DOI Search in Google Scholar Back to article
Orîndaru, A., Popescu, M.F., Alexoaei, A.P., Căescu, Ș.C., Florescu, M.S. & Orzan, A.O. (2021). Tourism in a post-COVID-19 era: Sustainable strategies for industry’s recovery. Sustainability 13(12), 6781. DOI: 10.3390/su13126781.
Open DOI Search in Google Scholar Back to article
Hansson, J., Pettersson, F., Svensson, H. & Wretstrand, A. (2019). Preferences in regional public transport: a literature review. European Transport Research Review 11(1), 1-16. DOI: 10.1186/s12544-019-0374-4.
Open DOI Search in Google Scholar Back to article
Borkowski, P., Jażdżewska-Gutta, M. & Szmelter-Jarosz, A. (2021). Lockdown: Everyday mobility changes in response to COVID-19. Journal of Transport Geography 90, 102906. DOI: 10.1016/j.jtrangeo.2020.102906.
Open DOI Search in Google Scholar Back to article
Sadeghi, S., Daziano, R., Yoon, S.Y. & Anderson, A.K. (2022). Crowding and perceived travel time in public transit: virtual reality compared with stated choice surveys. Transportation Research Record 0(0). DOI: 10.1177/03611981221130346.
Open DOI Search in Google Scholar Back to article
Shubenkova, K. & Makarova, I. (2018). Evaluation of the actions aimed at the transition to sustainable public transport system. The Archives of Automotive Engineering – Archiwum Motoryzacji 81(3), 75-90. DOI: 10.14669/AM.VOL81.ART6.
Open DOI Search in Google Scholar Back to article
Yeboah, G., Cottrill, C.D., Nelson, J.D., Corsar, D., Markovic, M. & Edwards, P. (2019). Understanding factors influencing public transport passengers’ pre-travel information-seeking behaviour. Public Transport 11(1), 135-158. DOI: 10.3141/2274-1.
Open DOI Search in Google Scholar Back to article
McMullan, A. & Majumdar, A. (2012). Assessing the impact of travel path choice on London’s rail network using an automatic fare collection system. Transportation research record 2274(1), 154-163. DOI: 10.3141/2274-17.
Open DOI Search in Google Scholar Back to article
Urbanek, A. (2019). Public transport fares as an instrument of impact on the travel behaviour: an empirical analysis of the price elasticity of demand. In TranSopot Conference, 28-30 May 2018, (101-113). Sopot, Poland. Springer, Cham. DOI: 10.1007/978-3-030-17743-0_9.
Open DOI Search in Google Scholar Back to article
Eisenmann, C., Nobis, C., Kolarova, V., Lenz, B. & Winkler, C. (2021). Transport mode use during the COVID-19 lockdown period in Germany: the car became more important, and public transport lost ground. Transport Policy 103, 60-67. DOI: 10.1016/j.tranpol.2021.01.012.
Open DOI Search in Google Scholar Back to article
Holmgren, J. (2007). Meta-analysis of public transport demand. Transportation Research Part A-Policy and Practice 41 (10), 1021-1035. DOI: 0.1016/j.tra.2007.06.003.
Open DOI Search in Google Scholar Back to article
Tarasi, D., Daras, T., Tournaki, S. & Tsoutsos, T. (2021). Transportation in the Mediterranean during the COVID-19 pandemic era. Global transitions 3, 55-71. DOI: 10.1016/j.glt.2020.12.003.
Open DOI Search in Google Scholar Back to article
Redman, L., Friman, M., Gärling, T. & Hartig, T. (2013). Quality attributes of public transport that attract car users: A research review. Transport policy 25, 119-127. DOI: 10.1016/j.tranpol.2012.11.005.
Open DOI Search in Google Scholar Back to article
Das, S., Boruah, A., Banerjee, A., Raoniar, R., Nama, S. & Maurya, A.K. (2021). Impact of COVID-19: A radical modal shift from public to private transport mode. Transport Policy 109, 1-11. DOI: 10.1016/j.tranpol.2021.05.005.
Open DOI Search in Google Scholar Back to article
Abdullah, M., Dias, C., Muley, D. & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation research interdisciplinary perspectives 8, 100255. DOI: 10.1016/j.trip.2020.100255.
Open DOI Search in Google Scholar Back to article
Wang, X., Sun, S., Zhang, B. & Han, J. (2021). Solar heating to inactivate thermal-sensitive pathogenic microorganisms in vehicles: Application to COVID-19. Environmental Chemistry Letters 19, 1765–1772. DOI: 10.1007/s10311-020-01132-4.
Open DOI Search in Google Scholar Back to article
Przybylowski, A., Stelmak, S. & Suchanek, M. (2021). Mobility Behaviour in View of the Impact of the COVID-19 Pandemic - Public Transport Users in Gdansk Case Study. Sustainability 13, 364. DOI: 10.3390/su13010364.
Open DOI Search in Google Scholar Back to article

Analysis of Passenger Behaviour During the Covid-19 Pandemic Situation

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