Tiered Approach For Urban Transport Emission Inventories – Lessons From China

Rapidly growing transport activities in urban areas are a big challenge for mitigating climate change. A fundamental requirement in the effort to control GHG emissions and pollutants in any form is to understand where or from which activities emissions originate. Emission inventory and monitoring can help city have a clear idea of their transport emissions and the associated social impacts, providing them a foundation on which to take action. It is demanded to develop a tiered approach by accommodating different data availability and quality issues, which ensures consistency and transparency despite highly diverse data availability and different abilities to collect data. By looking at three Chinese cities, Harbin, Chengdu and Shenzhen, this paper presents a practical and reliable to GHG data collection and evaluation in urban transport by combining top-down and bottom-up approach that is consistent and yet sensitive to both, different local situations and data availability. It exemplifies how the multi-tiered approach can be applied for GHG monitoring despite of highly differing levels of quality and availability of data.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC70 Standing Committee on Transportation Energy. Alternate title: Tiered Approach for Urban Transport Emission Inventories: Lessons from China
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Eichhorst, Urda
    • Sun, Shengyang
    • Bongardt, Daniel
    • Li, Zhenyu
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01623420
  • Record Type: Publication
  • Report/Paper Numbers: 17-03058
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 24 2017 3:32PM