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加纳摩托车事故严重程度相关因素的多项逻辑分析。

A multinomial logit analysis of factors associated with severity of motorcycle crashes in Ghana.

机构信息

a School of Automotive and Traffic Engineering , Jiangsu University , Zhenjiang , China.

b School of Engineering , Tamale Technical University , Tamale , Ghana.

出版信息

Traffic Inj Prev. 2019;20(5):521-527. doi: 10.1080/15389588.2019.1616699. Epub 2019 Jun 13.

Abstract

The objective of this study was to explore the factors affecting motorcycle crash severity in Ghana. A retrospective analysis of motorcycle crash data between 2011 and 2015 was conducted using a motorcycle crash data set extracted from the National Road Traffic Crash Database at the Building and Road Research Institute (BRRI) in Ghana. Injury severity was classified into 4 categories: Fatal, hospitalized, injured, and damage only. A multinomial logit modeling framework was used to identify the possible determinants of motorcycle crash severity. During the study period, a total of 8,516 motorcycle crashes were recorded, of which 22.9% were classified as fatal, 42.1% were classified as hospitalized injuries, 29.4% were classified as slight injuries, and 5.6% were classified as damage-only crashes. The estimation results indicate that the following factors increase the probability of fatal injuries: At a junction; weekend; signage; poor road shoulder; village settlement; tarred and good road surface; and collision between motorcycle and heavy goods vehicle (HGV). Motorcycle crashes occurring during the daytime and on the weekend increases the probability of hospitalized injury. The results also suggest that motorcycle crashes occurring during the daytime, in curves or inclined portions of roads, or in unclear weather conditions decrease the probability of fatal injury. This study provides further empirical evidence to support motorcycle crash modeling research, which is lacking in developing countries. The ability to understand the various factors that influence motorcycle crash severity is a step forward in providing an appropriate basis upon which informed motorcycle crash policies can be developed. Particular attention should be given to the provision of road signage at junctions and speed humps and controlling traffic during the weekend. In addition, road maintenance should be carried out periodically to address motorcycle safety in Ghana.

摘要

本研究旨在探讨影响加纳摩托车事故严重程度的因素。利用从加纳建筑与道路研究所(BRRI)国家道路交通事故数据库中提取的摩托车事故数据集,对 2011 年至 2015 年的摩托车事故数据进行了回顾性分析。损伤严重程度分为 4 类:致命、住院、受伤和仅损坏。使用多项逻辑回归建模框架确定了摩托车事故严重程度的可能决定因素。在研究期间,共记录了 8516 起摩托车事故,其中 22.9%被归类为致命,42.1%被归类为住院伤害,29.4%被归类为轻伤,5.6%被归类为仅损坏事故。估计结果表明,以下因素会增加致命伤害的概率:在路口;周末;标志;道路肩部不良;乡村住区;柏油路面和良好路面;以及摩托车与重型货车(HGV)之间的碰撞。发生在白天和周末的摩托车事故会增加住院伤害的概率。结果还表明,发生在白天、弯道或道路倾斜部分或天气条件不清晰的摩托车事故会降低致命伤害的概率。本研究为摩托车事故建模研究提供了进一步的经验证据,而发展中国家在这方面的研究相对较少。了解影响摩托车事故严重程度的各种因素的能力是向前迈进了一步,为制定明智的摩托车事故政策提供了适当的依据。应特别注意在路口和减速带提供道路标志,并在周末控制交通。此外,应定期进行道路维护,以解决加纳的摩托车安全问题。

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