Assessment of shared e-scooter safety

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002595" target="_blank" >RIV/75081431:_____/23:00002595 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.researchgate.net/publication/373718345_ASSESSMENT_OF_SHARED_E-SCOOTER_SAFETY" target="_blank" >https://www.researchgate.net/publication/373718345_ASSESSMENT_OF_SHARED_E-SCOOTER_SAFETY</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of shared e-scooter safety

Popis výsledku v původním jazyce

The goal of the paper was to assess the safety of riding shared e-scooters and determine the causes of accidents involving them. Primary data for the research were obtained through a combination of quantitative and qualitative content analysis based on deep learning by analysing data from the WoS database entered into the VOSviewer system. A quantitative observation method was used to determine the number of shared e-scooter users who do not use safety equipment such as helmets. The data obtained were processed using the Wilcoxon test designed to test the homogeneity of two random samples in the univariate case. The observation of shared e-scooter users and social networks of e-scooter service providers showed that safety equipment is not adequately used; in addition, the users often do not know the traffic rules and often violate them. Of the 256 monitored cases of using shared e-scooters, none of the users wore a safety helmet. It can thus be concluded that it is necessary to promote the rules of the safe use of shared e-scooters. Further research could focus on proposing a methodology for assessing traffic accidents involving e-scooters and a general overview of recommendations for e-scooter safe use.

Název v anglickém jazyce

Assessment of shared e-scooter safety

Popis výsledku anglicky

The goal of the paper was to assess the safety of riding shared e-scooters and determine the causes of accidents involving them. Primary data for the research were obtained through a combination of quantitative and qualitative content analysis based on deep learning by analysing data from the WoS database entered into the VOSviewer system. A quantitative observation method was used to determine the number of shared e-scooter users who do not use safety equipment such as helmets. The data obtained were processed using the Wilcoxon test designed to test the homogeneity of two random samples in the univariate case. The observation of shared e-scooter users and social networks of e-scooter service providers showed that safety equipment is not adequately used; in addition, the users often do not know the traffic rules and often violate them. Of the 256 monitored cases of using shared e-scooters, none of the users wore a safety helmet. It can thus be concluded that it is necessary to promote the rules of the safe use of shared e-scooters. Further research could focus on proposing a methodology for assessing traffic accidents involving e-scooters and a general overview of recommendations for e-scooter safe use.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Ad Alta - Journal of Interdisciplinary Research

ISSN

1804-7890

e-ISSN

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Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

167-174

Kód UT WoS článku

001027245000028

EID výsledku v databázi Scopus

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