马拉维道路交通死亡人数:行人行为因素的作用

G. Ngwira, B. Bolaane, Bhagabat Parida
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引用次数: 1

摘要

行人行为是造成道路死亡的主要原因之一。负二项回归模型更符合道路死亡数据,本研究使用该模型评估了行人行为因素对马拉维道路死亡的影响。该分析中使用的数据是从国家数据库中获得的2000-2005年期间行人行为因素和观察到的死亡人数的碰撞报告,但2013年的数据除外,因为这些数据似乎不完整,所以被忽略了。尽管发现在道路上行走、在人行横道外过街以及其他疏忽大意行为的行人行为因素与道路死亡呈正相关,表明与道路相关的死亡人数随着输入数据的增加而增加,但受酒精影响和在人行横道过街的因素的影响可忽略不计。研究还发现,每发生一次涉及行人在道路上行走的致命车祸,车祸死亡人数就会增加1%。此外,每一起涉及行人过街行为因素或其他疏忽行为的致命车祸的死亡人数都会增加0.5%。由于不小心过街或行人行为以外的因素造成的每一起额外致命车祸,死亡人数都会增加0.3%。尽管所有变量的系数值都很小,这是本研究的一个主要限制,但执法部门可以优先考虑那些增加道路相关死亡人数的变量,甚至将其与速度等其他风险因素相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Traffic Fatalities in Malawi: The Role of Pedestrian Behaviour Factors
Pedestrian behaviour is one of the major contributors to road fatalities. The negative binomial regression model was found to better agree with road fatality data, and this study used this model to assess the influence of pedestrian behaviour factors on road fatalities in Malawi. The data used in this analysis were crash reports of pedestrian behaviour factors and observed fatalities for the period 2000–2015 obtained from the national database, except for the 2013 data, which were disregarded because they appeared to be incomplete. Whereas pedestrian behaviour factors of walking on roads, crossing outside pedestrian crossings, and other negligent and careless behaviours were found to be positively correlated with road deaths, indicating that road-related fatalities increased with increasing input data, factors of being under the influence of alcohol and crossing at pedestrian crossings demonstrated negligible influence. The study also found that there was a 1% increase in the number of crash deaths for every additional fatal crash involving pedestrians walking on roads. Moreover, an additional 0.5% increase in the number of fatalities was recorded for every fatal crash involving a pedestrian behaviour factor of crossing outside the pedestrian crossing or other negligent behaviour. An increase of 0.3% in the number of the fatalities was seen for every extra fatal crash caused by crossing carelessly or factors other than pedestrian behaviour. Despite coefficient values being small in all variables, which is a major limitation of this study, enforcement can prioritise those variables that increase road-related fatalities or even couple them with other risk factors such as speed.
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