LOGIT MODEL OF MOTORCYCLE ACCIDENTS IN THE PHILIPPINES CONSIDERING PERSONAL AND ENVIRONMENTAL FACTORS

Seva, Rosemary R.; Flores, Glaiza Marie T.; Gotohio, Maria Patricia T.; Paras, Noel Gabriel C. · 2013 · OpenAlex-citations

DOI: 10.7708/ijtte.2013.3(2).06

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Summary

This study addresses the rising incidence of motorcycle accidents in the Philippines, a developing nation with unique road conditions, lax traffic law enforcement, and distinct driver behaviors. While previous research in other countries has examined accident causes, few studies have developed predictive models for accident likelihood in the Philippine context, and existing models often rely on descriptive statistics or variables not applicable to developing nations. The research aims to identify significant personal and environmental predictors of motorcycle accidents to inform targeted government interventions. The researchers employed a logistic regression model to predict the binary outcome of accident occurrence versus near-miss events. Data were collected via survey from 177 motorcycle drivers renewing their licenses at a Land Transportation Office center in Metro Manila. Participants were required to have at least three years of driving experience. The survey captured personal variables, such as age and driving behavior (assessed using a modified Manchester Driver Behavior Questionnaire), and environmental variables, including lighting, road character, junction type, and surface conditions. Drivers who had experienced accidents recalled their most recent incident, while those without accidents recalled a "near miss." Statistical analysis involved testing for multicollarity and using Wald’s test to determine the significance of individual predictors, with model fit assessed via the Hosmer-Lemeshow test. The results identified three significant predictors of motorcycle accidents: age, driving behavior, and junction type. Contrary to findings in some other developing countries where age was insignificant, younger drivers in the Philippines were found to be more likely to be involved in accidents, likely due to a higher propensity for risky behaviors. Regarding driving behavior, "lapses" (failures in memory and attention) were significantly associated with accidents, showing a lower odds ratio compared to the baseline of aggressive behavior. "Ordinary violations" (deliberate rule deviations) also showed a high odds ratio, indicating a strong link to accident likelihood. Environmentally, driving at T-junctions and Y-junctions significantly increased accident probability, attributed to visibility issues and maneuvering difficulties, particularly given the lack of a daytime headlight policy in the Philippines. Other variables, such as lighting conditions, surface conditions, and day of the week, were not statistically significant. The study concludes that a unique combination of factors predicts motorcycle accidents in the Philippines, differing from models developed in other regions. The significance of age suggests that government safety programs should intensively target young drivers with education on road safety and rule compliance. The impact of junction types and driving behaviors implies that interventions should focus on improving motorcycle conspicuity at intersections, potentially through policies like mandatory daytime headlight use, and enforcing traffic rules via measures such as speed cameras. These findings provide a basis for developing country-specific safety strategies rather than relying on generalized models from developed nations.

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• motorcycle crash typology