Affiliation of Author(s):

环境与市政工程学院

Journal:

Sustainability

Key Words:

inter-provincial transfer, transportation, CO2 emissions, input–output analysis, fuzzy parameter, ecological network analysis

Abstract:

CO2 reduction from transportation is exerting significant effects on global CO2 reduction. This industry contributes 23.96% of global CO2 emissions. In this research, an ecological network input–output interval fuzzy linear programming (EIFP) method is developed to clarify CO2 reduction responsibilities and depict transfer relationships of transportation. This method integrates input–output analysis (IOA), inexact rough interval fuzzy linear programming (IRFLP) and ecological network analysis (ENA) into a general framework. The proposed method is employed for calculating inter-provincial CO2 transfer under different situations in 30 provinces of China and further supporting the formulation of regional reduction policies. Results demonstrate that transportation energy demand of Beijing is dependent on imports, which indirectly increases CO2 reduction pressure in energy supply areas. Therefore, CO2 reduction responsibility should be traced to source and included in emission reduction plan of energy demand areas. In inter-provincial CO2 transfer relationships of natural gas, positive relationships account for a higher proportion; therefore, it is feasible to consider raising the proportion of natural gas in the future development direction of transportation. The achievements of this paper can provide scientific references for decision makers to formulate CO2 reduction policies in transportation.

Note:

祝颖

Co-author:

Cui,T.H.,Liu,Y.Z.,Zhou,Q.,Li,Y.X

First Author:

ZHU Ying

Indexed by:

Journal paper

Volume:

卷：13

Issue:

期：13

Page Number:

页：747

Translation or Not:

no

Date of Publication:

2021-01-01

Included Journals:

SCI