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首页> 外文期刊>Ethiopian journal of health sciences >Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
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Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia

机译:埃塞俄比亚夏威夷夏季市政府道路交通事故的空间分布

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摘要

Globally, road traffic accidents (RTAs) are the leading killer of young people and are projected to be the 7th leading cause of death by 2030. This study is aimed at analyzing the spatial distribution of road traffic accident and identifying hotspot areas across Kebeles (smallest administrative division in Ethiopia) of Hawassa city administration in Ethiopia. Method: Secondary data on daily traffic accident record from October 2013 to June 2018 was obtained from Hawassa city administration police department. The spatial clustering and hotspots identification were carried through Moran’s I and Getis- Ord Gi* statistics. Data analysis was conducted using GeoDa 1.16.0.0 and ArcGIS 10.2 softwares. RESULTS: Drivers within age group of 18-30 years, who were hired by private business owners and who had no driving license committed the highest number of traffic accidents. The majority of traffic accidents were caused due to careless driving, failure to give priority for pedestrian, high speed and driver failure to give priority for each other. In addition, about 82.01% of traffic accidents were recorded on asphalts road and 11.51% by gravel road. Spatial clustering of road traffic accidents for accidents occurred on gravel road and in sunny weather conditions found to be significant. Different hotspot areas were identified for gravel type of road and sunny weather condition. CONCLUSION: The concerned government bodies involved in policymaking are recommended to give special attention to young driver who were hired by private business owners. Interventions to mitigate the occurrence of traffic accident would take in to account the identified hotspot areas.
机译:在全球范围内,道路交通事故(RTAS)是年轻人的领先杀手,预计将成为2030年的第7个主要死亡原因。本研究旨在分析道路交通事故的空间分布,识别Kebeles的热点区域(最小埃塞俄比亚夏威群岛埃塞俄比亚行政部门。方法:2013年10月至2018年6月的日常交通事故纪录的二级数据是从夏季市政府警察局获得的。空间聚类和热点识别通过莫兰的I和Getis-Ord Gi *统计数据进行。使用Geoda 1.16.0.0和ArcGIS 10.2软件进行数据分析。结果:18 - 30年内的司机,由私人企业主雇用,谁没有驾驶执照占交通事故。大多数交通事故是由于粗心驾驶而导致的,未能优先考虑行人,高速和驾驶员未能彼此优先考虑。此外,大约82.01%的交通事故被记录在沥青路和11.51%的碎石路上。在碎石路和阳光明媚的天气条件下发生了出现的道路交通事故的空间聚类,发现是显着的。为砾石式道路和阳光天气状况确定了不同的热点区域。结论:建议涉及政策制定的有关政府机构,特别注意被私营商家雇用的年轻司机。减轻交通事故发生的干预措施将考虑到已识别的热点区域。

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