Estimating the environmental effects of the car shifting behavior along EDSA

• Main Authors: Roxas, Nicanor R., Fillone, Alexis M., Roquel, Krister Ian Daniel
• Format: text
• Published: Animo Repository 2018
• Subjects: Urban transportation—Philippines; Commuting > Philippines > Metro Manila; Commuters > Philippines > Metro Manila; Transportation Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3344
• Institution: De La Salle University

Metro Manila is the most populated region in the country. It is the largest contributor to the economy of the country at around 40 percent. Situated in this metropolis is the Epifanio Delos Santos Avenue (EDSA), which currently serves an estimated average of 330,000 vehicles daily. This number has greatly increased since the early 2000s. Because of EDSA's significance, many transportation-related studies had focused on it. Among the largest studies is the Metro Manila Urban Transportation Integration Study (MMUTIS) that was completed in 1999 and has recently been updated through the MMUTIS Update and Capacity Enhancement Project (MUCEP). There is also another ongoing project entitled Integrated and Optimal Scheduling of a Public Transport System in Metro Manila (PUBFix), which is funded by the government (DOST-PCIEERD). The project intends to improve the public transportation system in the metropolis, specifically bus operation along EDSA. In this research, the aim is to formulate stated preference (SP) logit choice models in order to predict the mode choices of commuters along EDSA. Such results are important in order to determine the changes in travel behavior of commuters when certain policies and measures are introduced. An EMME model is also prepared for this study in order to quantify the differences between baseline and hypothetical scenarios. Aside from quantifying the difference of these scenarios in terms of environmental effects, other traffic parameters were also calculated in order for transport policymakers to be guided in considering more appropriate measures. © 2018, Int. J. of GEOMATE.