IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-99-3626-7_117.html
   My bibliography  Save this book chapter

Research on the Carbon Emission Prediction of Chongqing Transportation Industry Based on Scenario Analysis

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Ying Liu

    (Chongqing Jiaotong University)

  • Liudan Jiao

    (Chongqing Jiaotong University)

  • Ya Wu

    (Southwest University)

  • Liu Wu

    (Chongqing Jiaotong University)

Abstract

The “double carbon” target reflects the new goals and requirements of China entering a new stage of development. In order to achieve the goal of Chongqing’s carbon peak, it is a timely and urgent problem to analyze the carbon emission level of Chongqing’s transportation industry. Based on the data on per capita GDP, passenger transport turnover, freight transport turnover, energy intensity, urbanization rate, private car ownership, and energy structure of Chongqing from 2000 to 2020, this paper applies the extended SRTIRPAT model to predict the carbon emissions of Chongqing’s transportation industry from 2021 to 2035 with different scenarios. Finally, this paper puts forward some appropriate suggestions based on the prediction results.

Suggested Citation

  • Ying Liu & Liudan Jiao & Ya Wu & Liu Wu, 2023. "Research on the Carbon Emission Prediction of Chongqing Transportation Industry Based on Scenario Analysis," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 1522-1537, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-3626-7_117
    DOI: 10.1007/978-981-99-3626-7_117
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-99-3626-7_117. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.