Asare Isaac Ofori, Mensah Alice Constance
MSc Applied Statistics, Vita Verde Consult, Accra, Ghana.
Mathematics and Statistics, Accra Technical University, Accra, Ghana.
Int J Inj Contr Saf Promot. 2020 Dec;27(4):412-419. doi: 10.1080/17457300.2020.1790615. Epub 2020 Jul 5.
Road traffic accident is one of the major problems facing the world. The carnage on Ghana's roads has raised road accidents to the status of a 'public health' threat. The objective of the study is to identify factors that contribute to accident severity using an ordinal regression model to fit a suitable model using the dataset extracted from the database of Motor Traffic and Transport Department, from 1989 to 2019. The results of the ordinal logistic regression analyses show that the nature of cars, National roads, over speeding, and location (urban or rural) are significant indicators of crash severity. Strategies to reduce crash injuries should physical enforcement through greater Police presence on our roads as well as technology. There is also the need to train drivers to be more vigilant in their travels especially on the national roads and in the urban areas. The Recommendation is, a well thought out and contextualised written laws and sanctioned schemes to monitor and enforce strict compliance with road traffic rules should be put in place.
道路交通事故是世界面临的主要问题之一。加纳道路上的惨烈事故已将道路交通事故提升到“公共卫生”威胁的地位。本研究的目的是使用序数回归模型，通过从1989年至2019年机动车交通和运输部数据库中提取的数据集来确定导致事故严重程度的因素，以拟合一个合适的模型。序数逻辑回归分析结果表明，汽车类型、国道、超速行驶以及地点（城市或农村）是碰撞严重程度的重要指标。减少碰撞伤害的策略应包括通过增加道路上的警察警力以及技术手段进行实际执法。还需要培训驾驶员在出行时更加警惕，特别是在国道和城市地区。建议应制定深思熟虑且因地制宜的成文法律以及经批准的计划，以监督并强制严格遵守道路交通规则。
