Forecasting the Number of Traffic Accidents in Jordan using the Poisson Regression Model

Authors

Adeeb Ahmed AL Rahamneh, Department of Economics, Faculty of Business, Al-Balqa Applied University, Salt, JordanFollow
Mohammed Ali Kriem Alzubeidi, Department of Business Administration, Faculty of Business, Al-Balqa Applied University, Salt, JordanFollow
Yaser Ahmad Arabyat, Department of Economics and Finance, Faculty of Business, Al-Balqa Applied University, Salt, JordanFollow
Sulieman Ibraheem Shelash Al-Hawary, Department of Business Administration, School of Business, Al al-Bayt University, Mafraq, JordanFollow

Abstract

The study aims at forecasting the number of traffic accidents in Jordan for the year 2022, based on the monthly data related to traffic accidents for the period (2017–2021) using the Poisson regression model. SPSS version 26 and Minitab version 19 data analysis programs were used to analyze the collected data. The study concluded that the use of the Poisson regression model is very appropriate to forecast the number of traffic accidents during the next period of time. The Poisson regression method is a useful method for estimating and forecasting. The researchers recommend adoption of this technique in related studies, conducting more extensive studies on the Poisson regression model, and reconsidering the current legislation and the penalties related to traffic accidents.

Recommended Citation

Ahmed AL Rahamneh, Adeeb; Ali Kriem Alzubeidi, Mohammed; Ahmad Arabyat, Yaser; and Ibraheem Shelash Al-Hawary, Sulieman (2023) "Forecasting the Number of Traffic Accidents in Jordan using the Poisson Regression Model," Information Sciences Letters: Vol. 12 : Iss. 4 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss4/3