摘要
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re<span style="font-family:Verdana;">ports were collected and analyzed using the 2020 version logit regression</span><span style="font-family:Verdana;"> model of XLSTAT. </span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">From these analyses, it appears that, of the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">382 </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.</span></span></span>
作者
Simon Armand Zogo Tsala
Merlin Zacharie Ayissi
Gerald Azeh
Pierre Anicet Noah
Fabien Betene Ebanda
Louis Max Ayina Ohandja
Simon Armand Zogo Tsala;Merlin Zacharie Ayissi;Gerald Azeh;Pierre Anicet Noah;Fabien Betene Ebanda;Louis Max Ayina Ohandja(Department of Civil Engineering, Advanced Teachers Technical Training College of Ebolowa, University of Yaoundé I, Yaoundé, Cameroon;Laboratory of Mechanics, University of Douala, Douala, Cameroon;Ministry of Transport, Kupe Muanenguba Divisional Delegation, Bangem, Cameroon;National Advanced School of Engineering Yaoundé, University of Yaoundé I, Yaoundé, Cameroon)
