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On-Road Bus Emission Comparison for Diverse Locations and Fuel Types in Real-World Operation Conditions

Author

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  • Chao Wang

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China)

  • Zhuoqun Sun

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China)

  • Zhirui Ye

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China)

Abstract

Urban buses have energy and environmental impacts because they are mostly equipped with heavy-duty diesel engines, having higher emission factors and pollution levels. This study proposed a mean distribution deviation (MDD) method to identify bus pollutant emissions including CO, CO 2 , HC, and NO X at road sections, intersections, and bus stops for different fuel types; and explore the changes in emissions for different locations in the road sections, bus stops, and intersection influence areas. Bus speed, acceleration, and emissions data were collected from four fuel types in China. For different locations and fuel types, the differences in emissions were all statistically significant. MDD values for different locations indicated that there were more obvious differences in emissions between road sections and intersections. In addition, heat maps were applied in this study to better understand changes in bus emissions for different locations in the bus stop influence areas, intersection influence areas, and road sections.

Suggested Citation

  • Chao Wang & Zhuoqun Sun & Zhirui Ye, 2020. "On-Road Bus Emission Comparison for Diverse Locations and Fuel Types in Real-World Operation Conditions," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1798-:d:325966
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    References listed on IDEAS

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    1. Miroslaw Smieszek & Magdalena Dobrzanska & Pawel Dobrzanski, 2019. "Rzeszow as a City Taking Steps Towards Developing Sustainable Public Transport," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    2. Xiaonian Shan & Xiaohong Chen & Wenjian Jia & Jianhong Ye, 2019. "Evaluating Urban Bus Emission Characteristics Based on Localized MOVES Using Sparse GPS Data in Shanghai, China," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    3. Xinkuo Xu & Xiaofeng Lv & Liyan Han, 2019. "Carbon Asset of Electrification: Valuing the Transition from Fossil Fuel-Powered Buses to Battery Electric Buses in Beijing," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    4. Bel, Germà & Holst, Maximilian, 2018. "Evaluation of the impact of Bus Rapid Transit on air pollution in Mexico City," Transport Policy, Elsevier, vol. 63(C), pages 209-220.
    5. Dengguo Liu & Diming Lou & Juan Liu & Liang Fang & Weiming Huang, 2018. "Evaluating Nitrogen Oxides and Ultrafine Particulate Matter Emission Features of Urban Bus Based on Real-World Driving Conditions in the Yangtze River Delta Area, China," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    6. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    7. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    8. Zhang, Yong & Jiang, Yunjian & Rui, Weina & Thompson, Russell G., 2019. "Analyzing truck fleets’ acceptance of alternative fuel freight vehicles in China," Renewable Energy, Elsevier, vol. 134(C), pages 1148-1155.
    9. Yanjie Ji & Xinwei Ma & Mingyuan Yang & Yuchuan Jin & Liangpeng Gao, 2018. "Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    10. Dan-Bi Bak & Jae-Seok Bak & Sung-Yul Kim, 2018. "Strategies for Implementing Public Service Electric Bus Lines by Charging Type in Daegu Metropolitan City, South Korea," Sustainability, MDPI, vol. 10(10), pages 1-16, September.
    11. Bitzan, John D. & Ripplinger, David G., 2016. "Public transit and alternative fuels – The costs associated with using biodiesel and CNG in comparison to diesel for U.S. public transit systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 17-30.
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    Cited by:

    1. Yueru Xu & Chao Wang & Yuan Zheng & Zhuoqun Sun & Zhirui Ye, 2020. "A Model Tree-Based Vehicle Emission Model at Freeway Toll Plazas," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    2. Ma, Ke & Wang, Hao & Ruan, Tiancheng, 2021. "Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    3. Miroslaw Smieszek & Vasyl Mateichyk & Magdalena Dobrzanska & Pawel Dobrzanski & Ganna Weigang, 2021. "The Impact of the Pandemic on Vehicle Traffic and Roadside Environmental Pollution: Rzeszow City as a Case Study," Energies, MDPI, vol. 14(14), pages 1-20, July.
    4. Alberto Romero-Ania & Lourdes Rivero Gutiérrez & María Auxiliadora De Vicente Oliva, 2021. "Multiple Criteria Decision Analysis of Sustainable Urban Public Transport Systems," Mathematics, MDPI, vol. 9(16), pages 1-30, August.

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