摘要：CO<sub>2</sub> reduction from transportation is exerting significant effects on global CO<sub>2</sub> reduction. This industry contributes 23.96% of global CO<sub>2</sub> emissions. In this research, an ecological network input–output interval fuzzy linear programming (EIFP) method is developed to clarify CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> reduction pressure in energy supply areas. Therefore, CO<sub>2</sub> reduction responsibility should be traced to source and included in emission reduction plan of energy demand areas. In inter-provincial CO<sub>2</sub> 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 CO<sub>2</sub> reduction policies in transportation.
