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首页> 外文期刊>International Journal of Statistics and Applications >Identification of Risk Factors Involved in Road Accidents in Ghana: A Case Study of the Techiman Municipality
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Identification of Risk Factors Involved in Road Accidents in Ghana: A Case Study of the Techiman Municipality

机译：加纳道路交通事故涉及的风险因素识别：以技术市政府为例

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The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Ghana. The objective of the paper was to identify the risk factors that mainly contribute to accident and their impact on road accident. This paper applied logistic regression to accident-related data collected from MOTOR TRAFFIC and TRANSPORT UNIT (MTTU) of GHANA POLICE SERVICE, TECHIMAN DIVISIONAL COMMAND traffic records in order to examine the contributing factors to accident severity. A total of 494 accident data from 2007-2011 was used. The accident severity (dependent variable) in this paper is a dichotomous variable with two categories, Fatal or Non-fatal. Among the variables obtained from police-accident reports, five independent variables namely; gender, time of accident, location of accident and reasons assigned for accident were found to be statistically significant.
机译：现在已经认识到，道路交通事故造成的伤亡问题已成为全球性现象。结果，世界上几乎所有国家的当局现在都对包括加纳在内的道路上被杀和受重伤的人数的增长感到担忧。本文的目的是确定主要导致事故的危险因素及其对道路事故的影响。本文将逻辑回归应用于从加纳警察局的机动交通和运输部门（MTTU），铁智满民政部门交通记录中收集的事故相关数据，以研究造成事故严重性的因素。从2007年至2011年，总共使用了494次事故数据。本文中的事故严重性（因变量）是两类变量，分为致命或非致命两类。在从警察事故报告中获得的变量中，有五个独立变量：性别，事故发生时间，事故发生地点和事故原因被认为具有统计学意义。

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