Panel regression for number of traffic accidents in Central Java Indonesia
Abstract
The problem of road accidents is a result of high population density and the number of motorized vehicles. The large number of motorized vehicles in Indonesia causes congested roads and many accidents. In Central Java, there were 29.772 cases of traffic accidents which increased by 26 percent. Thus, the purpose of this research was to identify the variables contributing to traffic accidents in Central Java. The factors that are expected to have an impact on the number of traffic accidents are analyzed using the Panel Regression Model. The number of traffic accidents is the dependent variable in this research, which also included eight other variables. Three Panel Regression models were used in this research, and the best model was determined by comparing the three models. The outcome demonstrated that the Fixed Effect Model (FEM) is the best model for this research. According to the findings of the Panel Regression analysis with RMSE values of FEM is 113.7164. There are two variables that influence the number of traffic accidents.
Fields of Study & Subjects
Traffic and Road Safety
Spatial and Panel Data Analysis
Road Transport and Highway Systems
Publication details
- Journal / source
- AIP conference proceedings
- Volume
- 3326
- Pages
- 080001–080001
- Publication date
- 1 January 2026
- Language
- EN