TITLE:
Assessing Factors for Occurrence of Road Accidents in Tanzania Using Panel Data Analysis: Road Safety Perspective
AUTHORS:
Ndume Vitalis, Angela-Aida Karugila Runyoro, Majige Selemani
KEYWORDS:
Road Accidents, Panel Data Analysis, Fatal Accidents, Pedestrian Crossing, Dangerous Driving, Reckless Driving
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.1,
January
28,
2022
ABSTRACT: This
study assessed critical factors for road traffic accidents and associated
mitigation to reduce the accidents by the year 2030. The study was guided by
research questions, what are the major causatives of road accidents and how to
mitigate the problem. The study used secondary data collected from the
repository database of traffic police at the division of Tanzania Road Safety
Squad. Data were collected at the events of accident occurrences and reported annually
by regions. Panel data analysis was used to allow for controlling variables
which cannot be observed over time and across areas such as regions. Pooled
Poisson model, fixed effect and random effect Poisson model was applied to
assess factors for road traffic accidents. Fixed effect model was the best
model with a reasonably good fit. Results indicated that all predictors are
significant under fixed effect Poisson model with a p-value less than 0.05 but Passengers and Railway
crossing road was found insignificant and dropped in the final model. Laws and
regulatory frameworks should be formulated and enforced promptly for Tanzania
may reach the target of 2nd decade of action for roads safety
2021-2030.