Abstract
This study explores the carbon emission reduction effect of the transportation structure adjustment from the perspectives of transportation structure optimization and transportation mode shift. A multi-objective optimization model of China's transportation structure is constructed, and the transportation structure is then adjusted by combing the multi-objective particle swarm optimization (MOPSO) algorithm and compromise programming technique. Under the premise of ensuring the economic and social effects, the largest carbon emission reduction effect of the transportation structure is acquired. The results indicate that the transportation structure optimization reduces carbon emissions by 12.70%. Optimization in the western region has the largest carbon emission reduction effect, followed by that of the central and eastern regions. Furthermore, the carbon emission reduction effect of the shift mode "road to rail" increases uninhibitedly with the increase in the shift range. However, the same effect of "road to water" has an upper limit. "Road to rail" is found to be more effective in the eastern region, whereas "road to water" is more effective in the central and western regions.
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