IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0196762.html
   My bibliography  Save this article

Carbon emissions tax policy of urban road traffic and its application in Panjin, China

Author

Listed:
  • Longhai Yang
  • Xiaowei Hu
  • Lin Fang

Abstract

How to effectively solve traffic congestion and transportation pollution in urban development is a main research emphasis for transportation management agencies. A carbon emissions tax can affect travelers’ generalized costs and will lead to changes in passenger demand, mode choice and traffic flow equilibrium in road networks, which are of significance in green travel and low-carbon transportation management. This paper first established a mesoscopic model to calculate the carbon emissions tax and determined the value of this charge in China, which was based on road traffic flow, vehicle speed, and carbon emissions. Referring to existing research results to calibrate the value of time, this paper modified the traveler’s generalized cost function, including the carbon emissions tax, fuel surcharge and travel time cost, which can be used in the travel impedance model with the consideration of the carbon emissions tax. Then, a method for analyzing urban road network traffic flow distribution was put forward, and a joint traffic distribution model was established, which considered the relationship between private cars and taxis. Finally, this paper took the city of Panjin as an example to analyze the road traffic carbon emissions tax’s impact. The results illustrated that the carbon emissions tax has a positive effect on road network flow equilibrium and carbon emission reduction. This paper will have good reference value and practical significance for the calculation and implementation of urban traffic carbon emissions taxes in China.

Suggested Citation

  • Longhai Yang & Xiaowei Hu & Lin Fang, 2018. "Carbon emissions tax policy of urban road traffic and its application in Panjin, China," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-14, May.
    • Handle: RePEc:plo:pone00:0196762
    DOI: 10.1371/journal.pone.0196762
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196762
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196762&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0196762?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    2. Lawrence D. Burns, 2013. "A vision of our transport future," Nature, Nature, vol. 497(7448), pages 181-182, May.
    3. Bureau, Benjamin, 2011. "Distributional effects of a carbon tax on car fuels in France," Energy Economics, Elsevier, vol. 33(1), pages 121-130, January.
    4. Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    5. Gao, H. Oliver & Kitirattragarn, Vincent, 2008. "Taxi owners' buying preferences of hybrid-electric vehicles and their implications for emissions in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(8), pages 1064-1073, October.
    6. Lefèvre, Benoit, 2009. "Long-term energy consumptions of urban transportation: A prospective simulation of "transport-land uses" policies in Bangalore," Energy Policy, Elsevier, vol. 37(3), pages 940-953, March.
    7. Soi Lam & Trinh Toan, 2006. "Land Transport Policy and Public Transport in Singapore," Transportation, Springer, vol. 33(2), pages 171-188, March.
    8. Brand, Christian & Tran, Martino & Anable, Jillian, 2012. "The UK transport carbon model: An integrated life cycle approach to explore low carbon futures," Energy Policy, Elsevier, vol. 41(C), pages 107-124.
    9. Baranzini, Andrea & Goldemberg, Jose & Speck, Stefan, 2000. "A future for carbon taxes," Ecological Economics, Elsevier, vol. 32(3), pages 395-412, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wen-Hsien Tsai, 2018. "A Green Quality Management Decision Model with Carbon Tax and Capacity Expansion under Activity-Based Costing (ABC)—A Case Study in the Tire Manufacturing Industry," Energies, MDPI, vol. 11(7), pages 1-30, July.
    2. Zong, Fang & Li, Yu-Xuan & Zeng, Meng, 2023. "Developing a carbon emission charging scheme considering mobility as a service," Energy, Elsevier, vol. 267(C).
    3. Kai Kang & Wei Pu & Yanfang Ma & Xiaoyu Wang, 2018. "Bi-objective inventory allocation planning problem with supplier selection and carbon trading under uncertainty," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-25, November.
    4. Fu, Xiao & Wu, Peimin, 2025. "Measurement methods and influencing factors of carbon emissions from residents' travel," Applied Energy, Elsevier, vol. 377(PD).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. You-Yi Guo & Jin-Xu Lin & Shih-Mo Lin, 2022. "The Distribution Effects of a Carbon Tax on Urban and Rural Households in China," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    2. Chun Yang & Jui-Che Tu & Qianling Jiang, 2020. "The Influential Factors of Consumers’ Sustainable Consumption: A Case on Electric Vehicles in China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    3. Immervoll, Herwig & Linden, Jules & O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "Who Pays for Higher Carbon Prices? Illustration for Lithuania and a Research Agenda," IZA Discussion Papers 15868, Institute of Labor Economics (IZA).
    4. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    5. Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," ZEW Discussion Papers 15-012, ZEW - Leibniz Centre for European Economic Research.
    6. Jiang, Zhujun & Shao, Shuai, 2014. "Distributional effects of a carbon tax on Chinese households: A case of Shanghai," Energy Policy, Elsevier, vol. 73(C), pages 269-277.
    7. Qiao-Mei Liang & Qian Wang & Yi-Ming Wei, 2013. "Assessing the Distributional Impacts of Carbon Tax among Households across Different Income Groups: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1323-1346, December.
    8. Angela Köppl & Margit Schratzenstaller, 2023. "Carbon taxation: A review of the empirical literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1353-1388, September.
    9. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.
    10. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    11. Jacobs, Leif & Quack, Lara & Mechtel, Mario, 2022. "Distributional effects of carbon pricing by transport fuel taxation," Energy Economics, Elsevier, vol. 114(C).
    12. Leif Jacobs & Lara Quack & Mario Mechtel, 2021. "Distributional Effects of Carbon Pricing by Transport Fuel Taxation," Working Paper Series in Economics 405, University of Lüneburg, Institute of Economics.
    13. Meng Xu & Avishai Ceder & Ziyou Gao & Wei Guan, 2010. "Mass transit systems of Beijing: governance evolution and analysis," Transportation, Springer, vol. 37(5), pages 709-729, September.
    14. Jia Li & Yahong Zheng & Bing Liu & Yanyi Chen & Zhihang Zhong & Chenyu Dong & Chaoqun Wang, 2024. "The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
    15. Katri Kosonen, 2012. "Regressivity of environmental taxation: myth or reality?," Taxation Papers 32, Directorate General Taxation and Customs Union, European Commission.
    16. Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    17. Zhao, Yuanying & Pawlak, Jacek & Sivakumar, Aruna, 2022. "Theory for socio-demographic enrichment performance using the inverse discrete choice modelling approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 101-134.
    18. Liotta,Charlotte & Avner,Paolo & Viguié,Vincent & Selod,Harris & Hallegatte,Stephane, 2022. "Climate Policy and Inequality in Urban Areas : Beyond Incomes," Policy Research Working Paper Series 10185, The World Bank.
    19. Zhao, Chuyun & Tang, Jinjun & Kong, Xiangxin & Yu, Tianjian & Li, Zhitao, 2024. "Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors," Energy, Elsevier, vol. 309(C).
    20. Cai, Yanpeng & Applegate, Scott & Yue, Wencong & Cai, Jianying & Wang, Xuan & Liu, Gengyuan & Li, Chunhui, 2017. "A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet," Energy Policy, Elsevier, vol. 100(C), pages 314-325.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0196762. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.