TITLE:
An In-Depth Analysis of the Causes of Road Accidents in Developing Countries: Case Study of Douala-Dschang Highway in Cameroon
AUTHORS:
Simon Armand Zogo Tsala, Merlin Zacharie Ayissi, Gerald Azeh, Pierre Anicet Noah, Fabien Betene Ebanda, Louis Max Ayina Ohandja
KEYWORDS:
Road Safety, Traffic, Road Accidents, Douala-Dschang Highway, Logistic Regression Model
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.11 No.3,
July
29,
2021
ABSTRACT: 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 reports were collected and analyzed using the 2020
version logit regression model of XLSTAT. From these analyses, it appears that, of the 382 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 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.