2020
DOI: 10.1016/j.iatssr.2020.09.002
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The association between national culture, road safety performance and support for policy measures

Abstract: There are considerable differences between countries when it comes to road safety performance, as indicated by the number of road fatalities per 100,000 inhabitants. These discrepancies are strongly associated with differences in wealth and prosperity, as expected, but are also related to national culture. The overall objective of this exploratory study is to identify relationships between national culture, road safety performance and public support for policy measures. Using the revised version of Hofstede's … Show more

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Cited by 23 publications
(5 citation statements)
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“…Similar conclusions were reached by Solmazer et al (2016) who explicitly indicate that IDV-COLL or Schwartz’s related dimensions of culture affect road death tolls through differences in law enforcement: COLL societies have laxer enforcement. The strong negative association between IDV-COLL and road death tolls has been confirmed by a number of other studies using diverse databases, such as Gaygisiz (2009), Van den Berghe et al (2020), etc.…”
Section: The Revised Minkov-hofstede Model Of National Culturesupporting
confidence: 55%
“…Similar conclusions were reached by Solmazer et al (2016) who explicitly indicate that IDV-COLL or Schwartz’s related dimensions of culture affect road death tolls through differences in law enforcement: COLL societies have laxer enforcement. The strong negative association between IDV-COLL and road death tolls has been confirmed by a number of other studies using diverse databases, such as Gaygisiz (2009), Van den Berghe et al (2020), etc.…”
Section: The Revised Minkov-hofstede Model Of National Culturesupporting
confidence: 55%
“…[24–26]) cannot be confirmed as explanations for differences in the national sample's reported DAS usage, the importance of differences in driving culture and associated attitudes towards traffic safety, risk perception, and traffic safety measures (cf. [36]) cannot be disregarded. The results imply instead that further studies are needed to investigate the impact of for example driving culture on drivers’ use and non‐use of DAS.…”
Section: Discussionmentioning
confidence: 99%
“… Information and motivations that lead to the use of the prevailing vehicle: car, motorcycle and moped, public transport, bicycle (costs, property, willingness to use more sustainable forms of mobility).  Information on travel-related perception and attitudes (Van den Berghe et al, 2020).  Other information not addressed in this study.…”
Section: The Mobility Surveymentioning
confidence: 99%