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Digitally enabled collaborative governance for sustaining bus reforms on the EDSA Busway in Metro Manila

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  • Tiglao, Noriel Christopher C.
  • Sanciangco, Erris
  • Tolentino, Niki Jon

Abstract

The Epifanio de los Santos Avenue or EDSA is a major arterial road in Metro Manila, Philippines which connects several Central Business Districts (CBDs) and major shopping malls of the metropolis with an average daily vehicle traffic reaching more than 400,000 plying its 23.8-km stretch. EDSA serves as a major public transport corridor due to the alignment of other mass transit systems. Over the years, serious attempts were made to increase the quality of bus services, but these were not sustained. In 2021, the city bus routes passing along EDSA were revamped and around 150 bus operators were consolidated into two consortia to operate the EDSA Busway during the COVID-19 pandemic. Originally intended to provide an augmentation service to the EDSA-MRT3 which was undergoing repairs along with passenger capacity restrictions to curb the spread of the virus, the government is trying to improve bus operations and infrastructure yet again. This paper describes the collaborative digital twin model, giving a detailed explanation of its development, components, and validation process, providing an analytical tool to improve governance and operations for the EDSA Busway.

Suggested Citation

  • Tiglao, Noriel Christopher C. & Sanciangco, Erris & Tolentino, Niki Jon, 2025. "Digitally enabled collaborative governance for sustaining bus reforms on the EDSA Busway in Metro Manila," Research in Transportation Economics, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:retrec:v:113:y:2025:i:c:s0739885925001167
    DOI: 10.1016/j.retrec.2025.101633
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    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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