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Economic Viability of Electric Bus Adoption for Public Transportation in Thailand: A Monte Carlo Simulation Approach

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  • Sakgasem Ramingwong

    (Supply Chain and Engineering Management Research Unit, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
    Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Sate Sampattagul

    (Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
    Research Unit for Energy Economic & Ecological Management, Multidisciplinary Research Institute, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Jutamat Jintana

    (Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract

Background : Thailand is actively transitioning toward electric vehicle adoption as part of its commitment to reducing greenhouse gas emissions. This study investigates the economic feasibility of replacing diesel buses with electric buses in Thailand’s public transportation sector. Methods: The research employs a comprehensive methodological framework combining Total Cost of Ownership (TCO) analysis with Monte Carlo simulation to address uncertainties in long-term financial projections. The study examines four pilot routes operated by a major Thai bus company, incorporating potential carbon credit revenues through Thailand’s Voluntary Emission Reduction program. Results: The analysis reveals substantial cost advantages for electric buses across all examined routes, with TCO savings ranging from 23.07% to 38.25%. Even under conservative scenarios, all routes demonstrate positive economic benefits. The fleet-wide net savings amount to approximately 236 million THB over a 10-year period, with an additional 16.7 million THB potential carbon credit revenue. Sensitivity analysis identifies fuel costs as the most significant factor (45.2%) affecting economic outcomes. Conclusions : The transition to electric buses presents a compelling economic and environmental case for Thai public transportation operators, with significant cost savings and emission reductions. A phased implementation approach beginning with routes offering the highest percentage savings is recommended.

Suggested Citation

  • Sakgasem Ramingwong & Sate Sampattagul & Jutamat Jintana, 2025. "Economic Viability of Electric Bus Adoption for Public Transportation in Thailand: A Monte Carlo Simulation Approach," Logistics, MDPI, vol. 9(2), pages 1-20, April.
  • Handle: RePEc:gam:jlogis:v:9:y:2025:i:2:p:60-:d:1645382
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    References listed on IDEAS

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    1. Dokrak Insan & Wattanapong Rakwichian & Parichart Rachapradit & Prapita Thanarak, 2022. "The Business Analysis of Electric Vehicle Charging Stations to Power Environmentally Friendly Tourism: A Case Study of the Khao Kho Route in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 102-111, November.
    2. Jung-Fa Tsai & Sheng-Che Wu & Pajaree Kathinthong & Thu-Hien Tran & Ming-Hua Lin, 2024. "Electric Vehicle Adoption Barriers in Thailand," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
    3. Phasiri Manutworakit & Kasem Choocharukul, 2022. "Factors Influencing Battery Electric Vehicle Adoption in Thailand—Expanding the Unified Theory of Acceptance and Use of Technology’s Variables," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    4. Dadang Dally & Kurhayadi Kurhayadi & Yeti Rohayati & Soheil Kazemian, 2020. "Personal Carbon Trading, Carbon-Knowledge Management and Their Influence On Environmental Sustainability In Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 609-616.
    5. Daniel Brinkmann & Veera Bhatiasevi, 2023. "Purchase Intention for Electric Vehicles Among Young Adults in Thailand," Vision, , vol. 27(1), pages 110-118, February.
    6. Abdulgader Alsharif & Chee Wei Tan & Razman Ayop & Ahmed Al Smin & Abdussalam Ali Ahmed & Farag Hamed Kuwil & Mohamed Mohamed Khaleel, 2023. "Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm," Energies, MDPI, vol. 16(3), pages 1-22, January.
    7. Asaad Mohammad & Ramon Zamora & Tek Tjing Lie, 2020. "Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling," Energies, MDPI, vol. 13(17), pages 1-20, September.
    8. Teresa Nogueira & José Magano & Ezequiel Sousa & Gustavo R. Alves, 2021. "The Impacts of Battery Electric Vehicles on the Power Grid: A Monte Carlo Method Approach," Energies, MDPI, vol. 14(23), pages 1-18, December.
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