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Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic

Author

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  • Veronika Harantová

    (Department of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia)

  • Jaroslav Mazanec

    (Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia)

  • Vladimíra Štefancová

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia)

  • Jaroslav Mašek

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia)

  • Hana Brůhová Foltýnová

    (Faculty of Social and Economic Studies, Jan Evangelista Purkyňe University in Ústí nad Labem, Pasteurova 3544/1, 40096 Ústí nad Labem, Czech Republic)

Abstract

In this paper, we analyse the specific behaviour of passengers in personal transport commuting to work or school during the COVID-19 pandemic, based on a sample of respondents from two countries. We classified the commuters based on a two-step cluster analysis into groups showing the same characteristics. Data were obtained from an online survey, and the total sample size consists of 2000 respondents. We used five input variables, dividing the total sample into five clusters using a two-step cluster analysis. We observed significant differences between gender, status, and car ownership when using public transport, cars, and other alternative means of transportation for commuting to work and school. We also examined differences between individual groups with the same socioeconomic and socio-demographic factors. In total, the respondents were classified into five clusters, and the results indicate that there are differences between gender and status. We found that ownership of a prepaid card for public transport and social status are the most important factors, as they reach a significance level of 100%, unlike compared to other factors with importance ranging from 60 to 80%. Moreover, the results demonstrate that prepaid cards are preferred mainly by female students. Understanding these factors can help in planning transport policy by knowing the habits of users.

Suggested Citation

  • Veronika Harantová & Jaroslav Mazanec & Vladimíra Štefancová & Jaroslav Mašek & Hana Brůhová Foltýnová, 2023. "Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(3), pages 1-17, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:583-:d:1043882
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    References listed on IDEAS

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    Cited by:

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    2. Chakraborty, Debapriya PhD & Konstantinou, Theodora PhD & Gutierrez Lopez, Julia Beatriz MSc & Tal, Gil, 2024. "Assessing the Total Cost of Ownership of Electric Vehicles among California Households," Institute of Transportation Studies, Working Paper Series qt3jh4f34x, Institute of Transportation Studies, UC Davis.
    3. Majerčák Peter & Majerčák Jozef & Kurenkov Petr Vladimirovič, 2023. "Impact of the COVID Crisis on Public Passenger Transport in Slovakia and Urban Transport in Žilina on a Selected Line," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 169-180, January.
    4. Dedík Milan & Gašparík Jozef & Bulková Zdenka & Kendra Martin & Šulko Peter, 2023. "Optimization of Timetables on the Prague – Bratislava / Vienna and Rail Transport Route in the Post-Pandemic Period," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 110-121, January.
    5. Apichaya Lilavanichakul & Rangrong Yoksan, 2023. "Development of Bioplastics from Cassava toward the Sustainability of Cassava Value Chain in Thailand," Sustainability, MDPI, vol. 15(20), pages 1-21, October.

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