IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-34651-4_49.html
   My bibliography  Save this book chapter

Low-Carbon Scenario Analysis on Urban Transport of a Metropolitan of China in 2020

In: Ltlgb 2012

Author

Listed:
  • Xiaofei Chen

    (University of Toronto)

  • Zijia Wang

    (Beijing Jiaotong University)

Abstract

This article discussed possible ways of implementing effective energy conservation and GHG emission reduction measures by providing: the forecasts of mid-to-long term city-wide carbon emission rate; and the analysis of potential low-carbon transport solutions. According to the characteristics of the transport system in a metropolitan in China, the comprehensive carbon emission calculation model established in this article includes road traffic and urban rail transit. Existing data were utilized with regression analysis to project the prospective traffic data in the baseline scenario at the target year of 2020 to calculate the emission amount. Four low-carbon scenarios were set in accordance with the goal of “low carbon transportation, green trip”, and the effectiveness of each low-carbon scenario was evaluated by comparing them with the baseline scenario in terms of the respective GHG emission rate. The mode switching that increases the ridership of urban rail transit turned out to be the most effective outcome.

Suggested Citation

  • Xiaofei Chen & Zijia Wang, 2013. "Low-Carbon Scenario Analysis on Urban Transport of a Metropolitan of China in 2020," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 341-345, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34651-4_49
    DOI: 10.1007/978-3-642-34651-4_49
    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:sprchp:978-3-642-34651-4_49. 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.