Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F23%3A43897647" target="_blank" >RIV/44555601:13510/23:43897647 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1660-4601/20/5/4600" target="_blank" >https://www.mdpi.com/1660-4601/20/5/4600</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijerph20054600" target="_blank" >10.3390/ijerph20054600</a>
Alternative languages
Result language
angličtina
Original language name
Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model
Original language description
At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people?s travel needs.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
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)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Environmental Research and Public Health
ISSN
1661-7827
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
1-15
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85149995419