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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F23%3A43897548" target="_blank" >RIV/44555601:13510/23:43897548 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2227-7390/11/3/583" target="_blank" >https://www.mdpi.com/2227-7390/11/3/583</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/math11030583" target="_blank" >10.3390/math11030583</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Project

<a href="/en/project/TL04000094" target="_blank" >TL04000094: Changes of transport behavior caused by Covid-19 and their impacts on society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Mathematics

ISSN

2227-7390

e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

1-18

UT code for WoS article

000932961100001

EID of the result in the Scopus database

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