Driving Safety Analysis Survey Using Manchester Driver Behavior Questionnaire

A popular tool for identifying and evaluating unusual driving behavior is the Driver Behavior Questionnaire (DBQ). Despite the popularity of the self-report method, the DBQ's use in underdeveloped countries like India has not been tried. The DBQ measures what are referred to as aberrant driving behaviors and is based on Reason's error theory. The foreseeability of road accidents is one of its primary intended purposes. Although several studies have explored this and shown some success, it is important to notice one aspect of DBQ reports: practically all of them have used self-reported accidents as the dependent variable.
To learn more about the drivers' viewpoints on the key factors that contribute to dangerous driving behavior, a survey was conducted. The questionnaire was split into two sections, with the first collecting socio-demographic data such name, driving history, and weekly mileage. After that, participants were given a five-point Likert scale to rank the factors that contributed to risky driving, with 1 denoting strong disagreement and 5 denoting strong agreement. A total of 166 people were surveyed (Driving Safety Analysis Survey.xlsx). Harsh acceleration, hard braking, traffic violations, lack of safety awareness, incorrect driver attitude, driving experience, unintentional errors and mistakes, sluggish reaction time, uninvolved or passive co-passengers, and active or helpful co-passengers were among the variables.
The survey results aided us in narrowing down the aspects that will be investigated further. Mistakes and lapses, Violations, Safety awareness, and Attitude were all considered. The factors active passenger and passive passenger were also introduced to better comprehend the role of co-passenger. Each element comprised five to six questions that the participants had to assess on a Likert scale of one to five (DBQ-Responses.xlsx).

识别与评估异常驾驶行为的流行工具为驾驶员行为问卷（DBQ）。尽管自陈报告方法备受青睐，但在印度等发展中国家，DBQ 的应用尚未得到尝试。DBQ 衡量所谓的异常驾驶行为，并基于 Reason 的错误理论。预测道路交通事故的可能性是其主要预期目的之一。尽管已有数项研究探讨此问题并取得一定成效，但仍需注意 DBQ 报告的一个方面：实际上，所有报告均以自报事故作为因变量。为了深入了解导致危险驾驶行为的关键因素，开展了一项调查。问卷分为两个部分，第一部分收集了社会经济数据，如姓名、驾驶历史和每周行驶里程。随后，参与者被要求使用五点李克特量表对导致高风险驾驶的因素进行排序，其中 1 代表强烈不同意，5 代表强烈同意。共调查了 166 人（驾驶安全分析调查.xlsx）。其中涉及的变量包括急加速、急刹车、交通违规、安全意识不足、驾驶员态度不当、驾驶经验、无意错误和失误、反应迟钝、不参与的或被动的同乘者，以及积极参与或乐于助人的同乘者。调查结果帮助我们缩小了将进一步研究的角度。错误与疏忽、违规、安全意识和态度均被考虑在内。为了更好地理解同乘者的角色，还引入了主动乘客和被动乘客这两个因素。每个元素都包含五个至六个问题，参与者需要在李克特量表的 1 至 5 分之间进行评估（DBQ-Responses.xlsx）。