Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 12, Pages: 1-11
Franz Jeremiah G. Ibay1*, Kathleen Jaeight N. de Guzman2, Sherilyn G. Escobar3, Bernadeth G. Nobles2 and Audie B. Oliquino2
1Department of Mathematics, Lagro High School; [email protected]
2Department of Mathematics and Statistics, College of Science, Polytechnic University of the Philippines - Manila; [email protected], [email protected], [email protected]
3Department of Mathematics, Kaypian National High School, Bulacan; [email protected]
*Author for correspondence
Franz Jeremiah G. Ibay
Department of Mathematics, Lagro High School.
Email: [email protected]
Objective: This study delivers a survival analysis of persons involved in road accidents in National Capital Region. Methods/ Analysis: The data were obtained from the Metropolitan Manila Development Authority (MMDA) through Metro Manila Accident Recording and Analysis System (MMARAS) program from January 2012 - June 2017 with respect to time t (day of the accident), and covariates age, gender, weather, time period, location, accident factor, vehicle, junction type, junction control, collision type, and the death of a person involved in a road accident, under Cox Regression and Kaplan-Meier Estimates. Findings: Through the study, the researchers found out that out of 42,877 persons involved, only 962 persons or 2.24% died, and most of the people counted in are male which implies that men have greater risk of death than women. The probability risk was given the equation , where is the survival function, is the cumulative hazard function which was determined with use of Cox Regression. Application/Improvements: For the government, this research can be used to monitor road accidents and can be a basis on planning seminars for the drivers related to road safety. For the citizens, this can be utilized to give awareness on several events related to road accidents. This study will be more useful if the available data would be more updated, and for each accident, all details will be recorded.
Keywords: Cox Regression, Kaplan-Meier Estimation, Road Accidents, Survival Analysis, Traffic
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