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Forecasting the Reduction in Urban Air Pollution by Expansion of Market Shares of Eco-Friendly Vehicles: A Focus on Seoul, Korea

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  • Hanghun Jo

    (Department of Urban Planning and Engineering, Hanyang University, Wangsimri-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea)

  • Seong-A Kim

    (Department of Urban Planning and Engineering, Hanyang University, Wangsimri-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea)

  • Heungsoon Kim

    (Department of Urban Planning and Engineering, Hanyang University, Wangsimri-ro 222, Seongdong-gu, Seoul 04763, Republic of Korea)

Abstract

Due to global climate change, various countries have agreed upon the use of conventions. In this study, the eco-friendly vehicular policy on carbon neutrality implemented in Seoul, Korea, was examined. To this end, various policy-based scenarios were set, and the changes in automotive exhaust gas emissions were evaluated and compared. The evaluation method combined macroscopic and microscopic emission models as its analysis framework. Micro-traffic data available in Korea were used for analyses, and the results for all autonomous districts were derived to cover the entire area of Seoul. The findings confirmed that the most effective measure is the initial replacement of old, mid-size, or large diesel passenger cars with eco-friendly vehicles (Middle-sized: Scenario 2-1 5.52%, Scenario 2-2 6.86%, Scenario 3-1 80.93%, and Scenario 3-2 83.98%). The replacement of old vehicles exhibited the highest effect in all tested scenarios, while the initial replacement of diesel vehicles was more effective than the replacement of gasoline and liquified petroleum gas vehicles (Diesel: Scenario2-1 6.64%, Scenario 2-2 8.21%, Scenario3-1 86.23%, and Scenario 3-2 90.51%). Among the autonomous districts of Seoul, the Gangnam-gu area exhibited the largest emission-reduced effect among all the tested scenarios (Gangnam-gu: Scenario 2-1 5.80%, Scenario 2-2 6.74%, Scenario 3-1 80.44%, and Scenario 3-2 82.62%). Overall, it was demonstrated that the findings of this study may have significant policy implications in terms of urban emission changes pertaining to transportation.

Suggested Citation

  • Hanghun Jo & Seong-A Kim & Heungsoon Kim, 2022. "Forecasting the Reduction in Urban Air Pollution by Expansion of Market Shares of Eco-Friendly Vehicles: A Focus on Seoul, Korea," IJERPH, MDPI, vol. 19(22), pages 1-25, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15314-:d:978126
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    References listed on IDEAS

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    1. Kim, Imjung & Kim, Junghun & Lee, Jongsu, 2020. "Dynamic analysis of well-to-wheel electric and hydrogen vehicles greenhouse gas emissions: Focusing on consumer preferences and power mix changes in South Korea," Applied Energy, Elsevier, vol. 260(C).
    2. Shin, Jungwoo & Hwang, Won-Sik & Choi, Hyundo, 2019. "Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 239-248.
    3. Solhee Kim & Rylie E. O. Pelton & Timothy M. Smith & Jimin Lee & Jeongbae Jeon & Kyo Suh, 2019. "Environmental Implications of the National Power Roadmap with Policy Directives for Battery Electric Vehicles (BEVs)," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    4. Kilyong Choi & Wonho Yang, 2021. "Psychological Changes and Cancer Occurrence in Seoul Citizens Due to Changes in Fine Dust Concentration before Seoul Fine Dust Policy," IJERPH, MDPI, vol. 18(21), pages 1-11, October.
    5. Osorio, Carolina & Nanduri, Kanchana, 2015. "Urban transportation emissions mitigation: Coupling high-resolution vehicular emissions and traffic models for traffic signal optimization," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 520-538.
    6. Prabhakar Sharma & Ajay Chhillar & Zafar Said & Saim Memon, 2021. "Exploring the Exhaust Emission and Efficiency of Algal Biodiesel Powered Compression Ignition Engine: Application of Box–Behnken and Desirability Based Multi-Objective Response Surface Methodology," Energies, MDPI, vol. 14(18), pages 1-22, September.
    7. Jooho Park & Yasushi Honda & Sayaka Fujii & Satbyul Estella Kim, 2022. "Air Pollution and Public Bike-Sharing System Ridership in the Context of Sustainable Development Goals," Sustainability, MDPI, vol. 14(7), pages 1-13, March.
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    Cited by:

    1. Tao Li & Lei Ma & Zheng Liu & Chaonan Yi & Kaitong Liang, 2023. "Dual Carbon Goal-Based Quadrilateral Evolutionary Game: Study on the New Energy Vehicle Industry in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.

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