| 英文摘要 |
The mass rapid transit (MRT) or metro system, known for its low pollution, high punctuality, and frequent service, plays a vital role in green transportation. However, in practice, the metro system heavily relies on electric energy during passenger transport and station operations, which results in carbon emissions and environmental challenges. This paper develops two models, a two-stage mixed network Directional Distance Function (DDF) model and a traditional DDF model, to measure environmental, energy, and carbon efficiencies. The study evaluates these efficiencies using time series data from the Taipei MRT from 2005 to 2022. The empirical analysis shows that, using the mixed network DDF model, the average environmental efficiency is 0.9916. The average carbon emission efficiency values are 0.9599, 0.9700, and 0.9504 for the entire system, production, and service stages, respectively. This means that carbon emission efficiency does not yet reach the efficiency frontier, primarily due to lower efficiency in the station system. To improve environmental efficiency, operators should prioritize enhancing carbon emission efficiency during service processes, which could lead to an average carbon reduction of approximately 4.96% per quarter. Furthermore, the traditional DDF model yields efficiency values of 0.9895, 0.9860, and 0.9830 for environmental, electricity, and carbon emissions, respectively. These findings indicate that these efficiency values still fall short of the efficiency frontier. The empirical analysis demonstrates that the proposed mixed network DDF model provides operators with valuable insights into overall environmental efficiency, production efficiency, and service performance. It also offers energy and carbon emission efficiency data for medium- and high-capacity systems and stations, which can assist operators in implementing effective ''energysaving and carbon-reduction'' measures. |