Research on the Impact of COVID-19 on Micromobility Using Statistical Methods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F22%3A39919584" target="_blank" >RIV/00216275:25510/22:39919584 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2076-3417/12/16/8128" target="_blank" >https://www.mdpi.com/2076-3417/12/16/8128</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app12168128" target="_blank" >10.3390/app12168128</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Research on the Impact of COVID-19 on Micromobility Using Statistical Methods
Popis výsledku v původním jazyce
The situation of the COVID-19 pandemic has had enormous social and economic impacts and has significantly affected the modal split. Many cities worldwide have adopted various blocking policies that affect how people travel. Micromobility systems, such as scooters and bicycle sharing, were among the transport systems affected by COVID-19. Electric scooters and shared bicycles provide comfortable and fast first-/last-mile connections for short-distance rides. The shared nature of these modes, together with the spread COVID-19, has contributed to the declining use of these services. The quantification of the impact of COVID-19 on shared services was demonstrated by this research through various mathematical methods. Satisfaction with the use of alternative modes of transport during the pandemic was determined based on the evaluation of a questionnaire survey. Independence tests of qualitative features and statistically significant associations that were demonstrated with a correspondence analysis were used for comparison. The main conclusion of the research was to point out the reasons for the preference for alternative modes of transport and to highlight the impacts on health and fears of contracting COVID-19 when using micromobility services.
Název v anglickém jazyce
Research on the Impact of COVID-19 on Micromobility Using Statistical Methods
Popis výsledku anglicky
The situation of the COVID-19 pandemic has had enormous social and economic impacts and has significantly affected the modal split. Many cities worldwide have adopted various blocking policies that affect how people travel. Micromobility systems, such as scooters and bicycle sharing, were among the transport systems affected by COVID-19. Electric scooters and shared bicycles provide comfortable and fast first-/last-mile connections for short-distance rides. The shared nature of these modes, together with the spread COVID-19, has contributed to the declining use of these services. The quantification of the impact of COVID-19 on shared services was demonstrated by this research through various mathematical methods. Satisfaction with the use of alternative modes of transport during the pandemic was determined based on the evaluation of a questionnaire survey. Independence tests of qualitative features and statistically significant associations that were demonstrated with a correspondence analysis were used for comparison. The main conclusion of the research was to point out the reasons for the preference for alternative modes of transport and to highlight the impacts on health and fears of contracting COVID-19 when using micromobility services.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
APPLIED SCIENCES-BASEL
ISSN
2076-3417
e-ISSN
2076-3417
Svazek periodika
12
Číslo periodika v rámci svazku
16
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
14
Strana od-do
nestrankovano
Kód UT WoS článku
000846126800001
EID výsledku v databázi Scopus
2-s2.0-85137980338