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Association of Carbon Emissions and Circular Curve in Northwestern China

Author

Listed:
  • Yaping Dong

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jinliang Xu

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Menghui Li

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Xingli Jia

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Chao Sun

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

Carbon emissions, produced by automobile fuel consumption, are termed as the key reason leading to global warming. The highway circular curve constitutes a major factor impacting vehicle carbon emissions. It is deemed quite essential to investigate the association existing between circular curve and carbon emissions. On the basis of the IPCC carbon emission conversion methodology, the current research work put forward a carbon emission conversion methodology suitable for China’s diesel status. There are 99 groups’ test data of diesel trucks during the trip, which were attained on 23 circular curves in northwestern China. The test road type was key arterial roads having a design speed greater than or equal to 60 km/h, besides having no roundabouts and crossings. Carbon emission data were generated with the use of carbon emission conversion methodologies and fuel consumption data from field tests. As the results suggested, carbon emissions decline with the increase in the radius of circular curve. A carbon emission quantitative model was established with the radius and length of circular curve, coupled with the initial velocity as the key impacting factors. In comparison with carbon emissions under circular curve section and flat section scenarios, the minimum curve radius impacting carbon emissions is 500 m. This research work provided herein a tool for the quantification of carbon emissions and a reference for a low-carbon highway design.

Suggested Citation

  • Yaping Dong & Jinliang Xu & Menghui Li & Xingli Jia & Chao Sun, 2019. "Association of Carbon Emissions and Circular Curve in Northwestern China," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1156-:d:208132
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    References listed on IDEAS

    as
    1. Barth, Matthew & Boriboonsomsin, Kanok, 2010. "Real-World Carbon Dioxide Impacts of Traffic Congestion," University of California Transportation Center, Working Papers qt07n946vd, University of California Transportation Center.
    2. Natalia Sobrino & Andres Monzon, 2018. "Towards Low-Carbon Interurban Road Strategies: Identifying Hot Spots Road Corridors in Spain," Sustainability, MDPI, vol. 10(11), pages 1-11, October.
    3. Shuxia Yang & Yu Ji & Di Zhang & Jing Fu, 2019. "Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China," Sustainability, MDPI, vol. 11(1), pages 1-22, January.
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    Cited by:

    1. Quan Dai & Hongfei Jia & Yao Liu, 2020. "Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    2. Xiaodong Zhang & Jinliang Xu & Menghui Li & Qunshan Li & Lan Yang, 2019. "Modeling Impacts of Highway Circular Curve Elements on Heavy-Duty Diesel Trucks’ CO 2 Emissions," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    3. Jinliang Xu & Yaping Dong & Menghua Yan, 2020. "A Model for Estimating Passenger-Car Carbon Emissions that Accounts for Uphill, Downhill and Flat Roads," Sustainability, MDPI, vol. 12(5), pages 1-21, March.

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