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Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic

Author

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  • Guoqiang Zhang

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Lianghui Wu

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Jun Chen

    (School of Transportation, Southeast University, Nanjing 210096, China)

Abstract

In order to effectively control carbon dioxide emissions of motorized vehicles, it is very important to measure their carbon dioxide emission factors. The objective of this paper was to develop measurement models for the carbon dioxide emission factors of passenger cars. Road systems of downtown areas of four typical Chinese counties were explored and 12 types of basic road networks were recognized and defined. With PTV Vissim, microscopic traffic simulation models were set up for every type of basic road network, average speeds of the simulated cars were collected, and carbon dioxide emissions were calculated using MOVES (Motor Vehicle Emission Simulator) software. For model development, the paper put forth two compound explanatory variables: the weighted average of segment lengths and the sum of critical ratios of volume to saturation flow rate. Six functional relationships for the variables were tested and the double exponential function was proven to be the most appropriate. Finally, for each of the 12 types of basic road networks, a measurement model for carbon dioxide emission factors was calibrated using the double exponential function for the variables. The measurement models can be used to estimate the carbon dioxide emissions of passenger cars concerning potential improvement schemes impacting traffic demand and/or traffic supply.

Suggested Citation

  • Guoqiang Zhang & Lianghui Wu & Jun Chen, 2021. "Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1594-:d:495532
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    References listed on IDEAS

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    1. Golnaz Ghafghazi & Marianne Hatzopoulou, 2014. "Simulating the environmental effects of isolated and area-wide traffic calming schemes using traffic simulation and microscopic emission modeling," Transportation, Springer, vol. 41(3), pages 633-649, May.
    2. Jaime Vallés-Giménez & Anabel Zárate-Marco, 2020. "A Dynamic Spatial Panel of Subnational GHG Emissions: Environmental Effectiveness of Emissions Taxes in Spanish Regions," Sustainability, MDPI, vol. 12(7), pages 1-22, April.
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    Cited by:

    1. Guoqiang Zhang & Qiqi Zhou & Jun Chen, 2021. "Exploring Factors Impacting on the Lane Choice of Riders of Non-Motorized Vehicles at Exit Legs of Signalized At-Grade Intersections," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    2. Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    3. Wang, Ning & Shang, Kai & Duan, Yan & Qin, Dandan, 2023. "Carbon quota allocation modeling framework in the automotive industry based on repeated game theory: A case study of ten Chinese automotive enterprises," Energy, Elsevier, vol. 279(C).

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