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Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia – A case study of Metro Manila

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  • Rith, Monorom
  • Fillone, Alexis M.
  • Biona, Jose Bienvenido Manuel M.

Abstract

An increase in private vehicle fleet and usage exacerbates the overuse of petroleum products, air quality degradation, and public health risks, among other drawbacks. This study investigated the energy and environmental benefits for private passenger vehicles under various scenarios in Metro Manila, the Philippines. The findings are informative to design policy implications for energy and environmental benefits. The study applied the Gaussian copula-based multinomial logit (MNL)-linear regression to develop the household vehicle ownership and energy consumption model using the disaggregated data of 1,795 households collected in 2017. The simulated vehicle fleet and energy consumption were then adopted to extrapolate energy demand, emissions, and public health risks for a 2010–2050 horizon using the bottom-up approach. Under the baseline scenario, the energy demand and carbon dioxide (CO2) emissions will reach 5.45 million tonnes of oil equivalent (Mtoe) and 16.93 million tonnes (Mt) in 2050, respectively. The amounts of hydrocarbon (HC), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOX), particulate matter 10 (PM10) and particulate matter 2.5 (PM2.5) emissions, and economic loss of health risks will be 6,214 tonnes (t), 62,136 t, 536 t, 10,550 t, 1,348 t, 996 t, and 237 Million USD, respectively, under the baseline scenario in 2050. Improvement of accessibility significantly reduces energy demand and CO2 emissions. Introduction of Euro 6 cars and Euro 4 buses and Public Utility Jeepneys noticeably improves public health. The new tax schedules on gas and vehicle maximize the tax revenue. The integration of all the mentioned alternatives can achieve sustainable mobility and urbanization.

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  • Rith, Monorom & Fillone, Alexis M. & Biona, Jose Bienvenido Manuel M., 2020. "Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia – A case study of Metro Manila," Applied Energy, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920307522
    DOI: 10.1016/j.apenergy.2020.115240
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    as
    1. Zhang, Hui & Zhang, Bing & Bi, Jun, 2015. "More efforts, more benefits: Air pollutant control of coal-fired power plants in China," Energy, Elsevier, vol. 80(C), pages 1-9.
    2. Rith, Monorom & Fillone, Alexis & Biona, Jose Bienvenido M., 2019. "The impact of socioeconomic characteristics and land use patterns on household vehicle ownership and energy consumption in an urban area with insufficient public transport service – A case study of me," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    3. Prasad, Ravita D. & Raturi, Atul, 2018. "Low-carbon measures for Fiji's land transport energy system," Utilities Policy, Elsevier, vol. 54(C), pages 132-147.
    4. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.
    5. Fang, Hao Audrey, 2008. "A discrete-continuous model of households' vehicle choice and usage, with an application to the effects of residential density," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 736-758, November.
    6. Soltani, Ali, 2017. "Social and urban form determinants of vehicle ownership; evidence from a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 90-100.
    7. Hao, Han & Liu, Zongwei & Zhao, Fuquan & Li, Weiqi & Hang, Wen, 2015. "Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles," Energy, Elsevier, vol. 91(C), pages 151-159.
    8. Selvakkumaran, Sujeetha & Limmeechokchai, Bundit, 2015. "Low carbon society scenario analysis of transport sector of an emerging economy—The AIM/Enduse modelling approach," Energy Policy, Elsevier, vol. 81(C), pages 199-214.
    9. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    10. Ye Feng & Don Fullerton & Li Gan, 2013. "Vehicle choices, miles driven, and pollution policies," Journal of Regulatory Economics, Springer, vol. 44(1), pages 4-29, August.
    11. Ahanchian, Mohammad & Biona, Jose Bienvenido Manuel, 2014. "Energy demand, emissions forecasts and mitigation strategies modeled over a medium-range horizon: The case of the land transportation sector in Metro Manila," Energy Policy, Elsevier, vol. 66(C), pages 615-629.
    12. Hao, Han & Wang, Hewu & Ouyang, Minggao, 2011. "Fuel conservation and GHG (Greenhouse gas) emissions mitigation scenarios for China’s passenger vehicle fleet," Energy, Elsevier, vol. 36(11), pages 6520-6528.
    13. Katharine Ricke & Laurent Drouet & Ken Caldeira & Massimo Tavoni, 2018. "Country-level social cost of carbon," Nature Climate Change, Nature, vol. 8(10), pages 895-900, October.
    14. Liu, Lei & Wang, Ke & Wang, Shanshan & Zhang, Ruiqin & Tang, Xiaoyan, 2018. "Assessing energy consumption, CO2 and pollutant emissions and health benefits from China's transport sector through 2050," Energy Policy, Elsevier, vol. 116(C), pages 382-396.
    15. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    16. Choudhary, Ravi & Vasudevan, Vinod, 2017. "Study of vehicle ownership for urban and rural households in India," Journal of Transport Geography, Elsevier, vol. 58(C), pages 52-58.
    17. Kay, Andrew I. & Noland, Robert B. & Rodier, Caroline J., 2014. "Achieving reductions in greenhouse gases in the US road transportation sector," Energy Policy, Elsevier, vol. 69(C), pages 536-545.
    18. Nurul Habib, Khandker M. & Day, Nicholas & Miller, Eric J., 2009. "An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 639-653, August.
    19. Erika Spissu & Abdul Pinjari & Ram Pendyala & Chandra Bhat, 2009. "A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel," Transportation, Springer, vol. 36(4), pages 403-422, July.
    20. Jing, Rui & Wang, Meng & Zhang, Zhihui & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2019. "Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    21. West, Sarah E., 2004. "Distributional effects of alternative vehicle pollution control policies," Journal of Public Economics, Elsevier, vol. 88(3-4), pages 735-757, March.
    22. Chakrabarti, Sandip & Joh, Kenneth, 2019. "The effect of parenthood on travel behavior: Evidence from the California Household Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 101-115.
    23. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    24. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    25. Shabbir, Rabia & Ahmad, Sheikh Saeed, 2010. "Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model," Energy, Elsevier, vol. 35(5), pages 2323-2332.
    26. Li, Peilin & Zhao, Pengjun & Brand, Christian, 2018. "Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach," Applied Energy, Elsevier, vol. 211(C), pages 820-842.
    27. Karim W. F. Youssef, 2018. "The built environment and public health," Community Development, Taylor & Francis Journals, vol. 49(1), pages 121-122, January.
    28. Budy P. Resosudarmo & Lucentezza Napitupulu, 2004. "Health and Economic Impact of Air Pollution in Jakarta," The Economic Record, The Economic Society of Australia, vol. 80(s1), pages 65-75, September.
    29. Deendarlianto, & Widyaparaga, Adhika & Widodo, Tri & Handika, Irine & Chandra Setiawan, Indra & Lindasista, Alia, 2020. "Modelling of Indonesian road transport energy sector in order to fulfill the national energy and oil reduction targets," Renewable Energy, Elsevier, vol. 146(C), pages 504-518.
    30. Sikder, Arjita & Inekwe, John & Bhattacharya, Mita, 2019. "Economic output in the era of changing energy-mix for G20 countries: New evidence with trade openness and research and development investment," Applied Energy, Elsevier, vol. 235(C), pages 930-938.
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