The relationship between social capital and traffic law violations: Israeli Arabs as a case study
Social aspects of a community may be correlated with driver's involvement in road traffic accidents. This study focused on examining this association in the context of the social capital theory. A survey of 600 Arab drivers living in 19 towns and villages was conducted using a face-to-face interview. Structural equation modeling was applied to explore paths of associations between the model components. Most of the proposed relationships in the path model were found to be significant, where the model explained 37% of the variation. The results indicate that only volunteering and reciprocity have direct correlations with traffic law violations. While the other correlations (except political involvement), were mediated by attitudes toward traffic laws violation. Hence, it can be concluded that it is not always possible to generalize the positive mechanisms of the social capital theory, and in certain populations such as the Arab minority it can give undesirable results.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Obeid, Samira
- Gitelman, Victoria
- Baron-Epel, Orna
- Publication Date: 2014-10
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 273-285
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Serial:
- Accident Analysis & Prevention
- Volume: 71
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Minorities; Structural equation modeling; Traffic violations
- Identifier Terms: Arabs
- Uncontrolled Terms: Social capital
- Geographic Terms: Israel
- Subject Areas: Highways; Safety and Human Factors; Society; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01535885
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 27 2014 10:54AM