Literature DB >> 17291438

The social accident: a theoretical model and a research agenda for studying the influence of social and cultural characteristics on motor vehicle accidents.

Roni Factor1, David Mahalel, Gad Yair.   

Abstract

The paper develops a sociological model to explain collisions between two drivers or more. The "Social Accident" model presented here integrates empirical findings from prior studies and extant sociological theories. Sociological theory posits that social groups have unique cultural characteristics, which include a distinctive world view and ways of operating that influence its members. These cultural characteristics may cause drivers in different groups to interpret a given situation differently; therefore, they will make conflicting decisions that may possibly lead to road accidents. The proposed model may contribute to an understanding of the social mechanism related to interactions and communication among drivers by presenting new directions for understanding accidents and collisions. The paper concludes with suggestions for future research that will employ the model to assess its predictive and practical utility.

Entities:  

Mesh:

Year:  2007        PMID: 17291438     DOI: 10.1016/j.aap.2006.12.015

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Neighborhood Influences on Vehicle-Pedestrian Crash Severity.

Authors:  Alireza Toran Pour; Sara Moridpour; Richard Tay; Abbas Rajabifard
Journal:  J Urban Health       Date:  2017-12       Impact factor: 3.671

Review 2.  A Systematic Literature Review of Driver's Sociocultural Factors Predisposing to Road Traffic Crashes.

Authors:  Zahra Haghdoust; Gholamreza Masoumi; Davoud Khorasani Zavareh; Abbas Ebadi; Shandiz Moslehi
Journal:  Med J Islam Repub Iran       Date:  2022-03-14

3.  Prediction of safe driving Behaviours based on health belief model: the case of taxi drivers in Bandar Abbas, Iran.

Authors:  Asghar Razmara; Teamur Aghamolaei; Abdoulhossain Madani; Zahra Hosseini; Shahram Zare
Journal:  BMC Public Health       Date:  2018-03-20       Impact factor: 3.295

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.