Arizon Peretz Renana, Luria Gil
Faculty of Welfare and Health Sciences, Department of Human Services, University of Haifa, Mount Carmel, Haifa 31905, Israel.
Accid Anal Prev. 2017 Sep;106:348-357. doi: 10.1016/j.aap.2017.07.005. Epub 2017 Jul 13.
In order to reduce road accidents rates, studies around the globe have attempted to shed light on the antecedents for unsafe road behaviors. The aim of the current research is to contribute to this literature by offering a new organizational antecedent of driver's unsafe behavior: The driver's relationships with his or her peers, as reflected in three types of social networks: negative relationships network, friendship networks and advice networks (safety consulting). We hypothesized that a driver's position in negative relationship networks, friendship networks, and advice networks will predict unsafe driving. Additionally, we hypothesized the existence of mutual influences among the driver's positions in these various networks, and suggested that the driver's positions interact to predict unsafe driving behaviors. The research included 83 professional drivers from four different organizations. Driving behavior data were gathered via the IVDR (In-Vehicle Data Recorder) system, installed in every truck to measure and record the driver's behavior. The findings indicated that the drivers' position in the team networks predicts safe driving behavior: Centrality in negative relationship networks is positively related to unsafe driving, and centrality in friendship networks is negatively related to unsafe driving, while centrality in advice networks is not related to unsafe driving. Furthermore, we found an interaction effect between negative network centrality and centrality in friendship networks. The relation between negative networks and unsafe behavior is weaker when high levels of friendship network centrality exist. The implications will be presented in the Discussion section.
为了降低道路事故率,全球各地的研究都试图揭示不安全道路行为的成因。当前研究的目的是通过提供一个新的驾驶员不安全行为的组织成因来丰富这方面的文献:驾驶员与其同行的关系,这体现在三种类型的社会网络中:负面关系网络、友谊网络和建议网络(安全咨询)。我们假设驾驶员在负面关系网络、友谊网络和建议网络中的位置将预测不安全驾驶行为。此外,我们假设驾驶员在这些不同网络中的位置之间存在相互影响,并表明驾驶员的位置相互作用以预测不安全驾驶行为。该研究包括来自四个不同组织的83名职业驾驶员。驾驶行为数据通过安装在每辆卡车上的IVDR(车载数据记录器)系统收集,以测量和记录驾驶员的行为。研究结果表明,驾驶员在团队网络中的位置可预测安全驾驶行为:负面关系网络中的中心性与不安全驾驶呈正相关,友谊网络中的中心性与不安全驾驶呈负相关,而建议网络中的中心性与不安全驾驶无关。此外,我们发现负面网络中心性与友谊网络中心性之间存在交互作用。当友谊网络中心性较高时,负面网络与不安全行为之间的关系较弱。其影响将在讨论部分呈现。