A spatial analysis of fatal motor vehicular accidents in Metro Manila, Philippines from 2005 to 2022

• Main Authors: Mancenido, Luigi Ablay, Pinohermoso, Emmanuel Schumi Lingao
• Format: text
• Language: English
• Published: Animo Repository 2024
• Subjects: Traffic accidents > Philippines > Metro Manila; Spatial analysis (Statistics); Statistics and Probability
• Online Access: https://animorepository.dlsu.edu.ph/etdb_math/44; https://animorepository.dlsu.edu.ph/context/etdb_math/article/1043/viewcontent/2024_Mancenido_A_Spatial_Analysis_of_Fatal_Motor_Vehicular_Accidents_in_Metro_Ma.pdf
• Institution: De La Salle University

Road traffic accidents are a leading cause of adolescent mortality in the Philippines, particularly in Metro Manila. This study aims to assist decision-makers by identifying spatial patterns in fatal vehicular accidents across Metro. Utilizing data from the Metro Manila Accident Reporting and Analysis System from 2005 to 2022, the study employs Moran’s I, Getis-Ord Gi* statistic, and Kulldorff’s space-time scan statistic to detect accident hotspots and clusters. The findings reveal consistent high incidence rates in Quezon City and significant clusters in Marikina and Quezon City, highlighting the need for targeted interventions in these high-risk areas. Spatial analysis using choropleth maps and standard deviational ellipses further identifies high-risk zones associated with high social and economic activity. The study underscores the importance of road safety measures, improved infrastructure, and public awareness campaigns to mitigate the social and economic burdens of road traffic injuries. Future research should expand to include non-fatal accidents and use point-based coordinate data for more precise spatial analyses. The insights gained from this study provide a foundational understanding for developing effective road safety strategies and enhancing public health in Metro Manila.