Black Spot Cluster Analysis of Road Crash involving Public Utility Vehicles (PUV) along Commonwealth Avenue using Kernel Density Estimation

• Published in: Journal of the Eastern Asia Society for Transportation Studies Vol. 15; pp. 3159 - 3173
• Main Authors: BALLARTA, Jerome, JAVIER, Sheila Flor, MERCADER, Carolyn
• Format: Journal Article
• Language: English
• Published: Eastern Asia Society for Transportation Studies 2024
• Subjects: Black Spot Cluster Analysis; Kernel Density Estimation; Public Utility Vehicle Road Crash
• ISSN: 1881-1124
• DOI: 10.11175/easts.15.3159

The Commonwealth Avenue in Quezon City is known as the “killer highway” in Metro Manila with an average of 17 fatal road crash per year from 2017-2021. The high occurrence of vehicular road crashes in Commonwealth Avenue has led to several research interests in identifying and analyzing road crash hot spots using the Geographical Information Systems (GIS). This study used data from the Metro Manila Accident Reporting and Analysis System (MMARAS) data of Metropolitan Manila Development Authority (MMDA) and employed kernel density estimation using free open-source software to identify public utility vehicle (PUV) road crash hotspots along Commonwealth Avenue. The study revealed five fatal crash locations along Commonwealth Avenue. High density road crashes occurred during the time period of 7:00 to 10 am and 5:00 to 8:00 pm. specifically on Fridays at the Regalado Avenue The study's results have significant implications that can be used to identify black spots, develop targeted interventions, and take measures to reduce the severity of PUV crashes.