Abstract:

      We establish an energy consumption variation model with Logarithmic Mean Division Index (LMDI) based on the statistics of passenger and freight turnover and energy consumptioin of Beijing every external transport means from 2005 to 2012. We choose transport activity, transport structure and energy intensity which affect transport energy consumption and calculate their influence and contribution rate based on ASIF classification method. Results show that energy intensity inhibits the increase of energy consumption and the other two factors promote its increase. We should rely on energy technologies to decrease energy intensity and attract passengers and freight to railway transport with larger transport capacity and lower energy consumption to reduce the growth rate of energy consumption.

Key words: external transportation, energy consumption, LMDI model