Chaid Analysis of Vehicular Accidents: a Basis for a Mitigation Policy

Abstract

The study investigated the occurrence of the offense committed in the major roads of Binalonan (Binalonan-Pozorrubio, Binalonan-Urdaneta, Binalonan-Laoac and Binalonan-San Manuel) from the period of 2013-2015 using Chi Square Automatic Interaction Detector (CHAID)  Analysis. This study aimed to find the best predictor that foretells the offense committed in Binalonan, Pangasinan specifically in determining the characteristics profile of the respondent in terms of the time, vehicle type, age, sex, civil status, and place, identifying the significant relationship between the independent variable and dependent variable, and identifying the best characteristics profile of the respondent that predicts the offense committed in Binalonan, Pangasinan. This study made use of descriptive method of research which is defined as description, recording, analysis and interpretation of the presented data.

            Based on the findings, majority of the offenses committed cases have increasing probability that the offender on vehicular accidents end up from reckless imprudence resulting to damage to property. Also, there is a significant relationship between the characteristics profile of the respondents and the offense committed due to vehicular accidents. Among all the characteristics profile of the respondents only time was detected as best predictor of the offense committed due to vehicular accidents. Thus, National Policy should do a better idea and strategy in terms of time which is greatly related to vehicular accidents in order to reduce the offense committed due to vehicular accidents in particular location for the preparation of the future prediction.