Assessments of the primary factors affecting driving speed and the violation of the speed limit by drivers in Addis Ababa
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Date
2023-06
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Addis Ababa University
Abstract
Infrastructure projects, such as road construction, are one of the most important projects in
Ethiopia. Growth in this sector is critical for growth in national income as it is among the largest
sectors that generate employment within the country and is a key driver for the economic
development of Ethiopia. Addis Ababa Roads Authority has administered road projects at the
city level, and traffic is controlled by Addis Ababa City Administration Traffic Management.
Traffic control includes posted speed limits, traffic warning signs, and traffic lights. However,
the posted speed limits are not well known by the drivers, and most of the time drivers violate
the rule by over speeding. There are several factors that contribute to these posted speed limit
violations. In order to reduce speed limit breaches, future work should focus on identifying the
main causes of violations of the posted speed limit as well as the main factors influencing
drivers' speed when operating a vehicle on Addis Ababa City roadways. A detailed analysis of
the literature and desk research was conducted, and the results allowed for the identification of
both global and local causes of speeding violations and factors influencing driver speed.
This paper focuses mainly on two data sources, which are collected directly from the road (spot
speed of vehicles) and closed-ended questionnaires. Spot speed data on different road types and
450 questionnaires were distributed to randomly selected drivers by convenience sampling.
Multiple linear regression models for the average speed of vehicles on a section (50th percentile
speed). Furthermore, the driver’s compliance with the posted speed limit is analyzed by using
ordinal logistic regression through self-reported violations. The likert scales have been analyzed
by using cross tabulation and bar charts for causes of speeding as per driver perspective and
compliance with the posted speed limit.
As a result of the study, the independent variable inputs are statistically significant with a Pvalue
of less than 0.05 with a 95% confidence interval, and they have a significant effect on the
50th percentile speed. For ordinal logistic regression through self-reported violations, gender of
drivers, marital status of drivers, age of drivers, and driving experience of drivers have a
significant effect on the violation of speed with a P-value of less than 0.05 with a 95%
confidence interval. On the other hand, drivers have the intention of complying with the speed limit and also
understand the effect of speeding. However, they still do not comply with the speed limit.
Commercial drivers agree that income affects violating the speed limit, and most commercial
drivers understand that complying with the PSL affects their per-day income.
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Keywords
Posted speed limit, 50th percentile speed, 85th percentile speed, Compliance of drivers, multiple linear regression model, ordinal logistic regression