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Carbon Emission Measurement of Urban Green Passenger Transport: A Case Study of Qingdao

Author

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  • Xinguang Li

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China)

  • Tong Lv

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China)

  • Jun Zhan

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China)

  • Shen Wang

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China)

  • Fuquan Pan

    (School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266500, China)

Abstract

Urban passenger transport is one of the most significant sources of fossil energy consumption and greenhouse gas emission, especially in developing countries. The rapid growth of urban transport makes it a critical target for carbon reduction. This paper establishes a method for calculating carbon emission from urban passenger transport including ground buses, private cars, cruising taxis, online-hailing taxis, and rail transit. The scope of the study is determined according to the transportation mode and energy type, and the carbon emission factor of each energy source is also determined according to the local energy structure, etc. Taking into consideration the development trend of new energy vehicles, a combination of “top-down” and “bottom-up” approaches is used to estimate the carbon dioxide emission of each transportation mode. The results reveal that carbon emission from Qingdao’s passenger transport in 2020 was 8.15 million tons, of which 84.31% came from private cars, while the share of private cars of total travel was only 45.66%. Ground buses are the most efficient mode of transport. Fossil fuels emit more greenhouse gases than other clean energy sources. The emission intensity of hydrogen fuel cell buses is better than that of other fuel type vehicles. Battery electric buses have the largest sensitivity coefficient, therefore the carbon emission reduction potentially achieved by developing battery electric buses is most significant.

Suggested Citation

  • Xinguang Li & Tong Lv & Jun Zhan & Shen Wang & Fuquan Pan, 2022. "Carbon Emission Measurement of Urban Green Passenger Transport: A Case Study of Qingdao," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9588-:d:880299
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    1. Geoffrey Udoka Nnadiri & Anthony S. F. Chiu & Jose Bienvenido Manuel Biona & Neil Stephen Lopez, 2021. "Comparison of Driving Forces to Increasing Traffic Flow and Transport Emissions in Philippine Regions: A Spatial Decomposition Study," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    2. Mine Isik & Rebecca Dodder & P. Ozge Kaplan, 2021. "Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates," Nature Energy, Nature, vol. 6(1), pages 92-104, January.
    3. Solaymani, Saeed, 2019. "CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector," Energy, Elsevier, vol. 168(C), pages 989-1001.
    4. Hasan, M.A. & Chapman, R. & Frame, D.J., 2020. "Acceptability of transport emissions reduction policies: A multi-criteria analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Carmen Córdova & Ana Zorio-Grima & Paloma Merello, 2018. "Carbon Emissions by South American Companies: Driving Factors for Reporting Decisions and Emissions Reduction," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    6. Nur Fatma Fadilah Yaacob & Muhamad Razuhanafi Mat Yazid & Khairul Nizam Abdul Maulud & Noor Ezlin Ahmad Basri, 2020. "A Review of the Measurement Method, Analysis and Implementation Policy of Carbon Dioxide Emission from Transportation," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    7. Wang, Shaojian & Liu, Xiaoping & Zhou, Chunshan & Hu, Jincan & Ou, Jinpei, 2017. "Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities," Applied Energy, Elsevier, vol. 185(P1), pages 189-200.
    8. Sergio Maria Patella & Flavio Scrucca & Francesco Asdrubali & Stefano Carrese, 2019. "Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
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    2. Hongxia Chen & Jeongsoo Yu & Xiaoyue Liu, 2022. "Development Strategies and Policy Trends of the Next-Generation Vehicles Battery: Focusing on the International Comparison of China, Japan and South Korea," Sustainability, MDPI, vol. 14(19), pages 1-12, September.
    3. Rongbin Wang & Weifeng Zhang & Wenlong Deng & Ruihao Zhang & Xiaohui Zhang, 2022. "Study on Prediction of Energy Conservation and Carbon Reduction in Universities Based on Exponential Smoothing," Sustainability, MDPI, vol. 14(19), pages 1-11, September.

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