Research Article
Efficiency Evaluation of Bus Transport Operations Given Exogenous Environmental Factors
Table 3
Bus transport operation efficiency of 30 central cities in China, 2010–2016.
| Year | 2010 | 2012 | 2014 | 2016 | DMU | TE | PTE | SE | TE | PTE | SE | TE | PTE | SE | TE | PTE | SE |
| Eastern average | 0.812 | 0.886 | 0.912 | 0.774 | 0.896 | 0.861 | 0.832 | 0.884 | 0.940 | 0.773 | 0.865 | 0.895 | Beijing | 0.842 | 1.000 | 0.842 | 0.801 | 1.000 | 0.801 | 0.770 | 1.000 | 0.770 | 0.695 | 1.000 | 0.695 | Tianjin | 0.741 | 0.788 | 0.940 | 0.819 | 0.904 | 0.907 | 0.907 | 0.944 | 0.960 | 0.811 | 0.915 | 0.886 | Shenyang | 0.971 | 1.000 | 0.971 | 0.867 | 0.940 | 0.922 | 0.919 | 0.932 | 0.986 | 1.000 | 1.000 | 1.000 | Shanghai | 0.647 | 0.822 | 0.788 | 0.607 | 0.839 | 0.723 | 0.707 | 0.838 | 0.844 | 0.642 | 0.796 | 0.806 | Nanjing | 0.631 | 0.673 | 0.936 | 0.571 | 0.663 | 0.861 | 0.579 | 0.591 | 0.979 | 0.526 | 0.537 | 0.981 | Hangzhou | 0.677 | 0.740 | 0.915 | 0.672 | 0.798 | 0.843 | 0.806 | 0.825 | 0.977 | 0.839 | 0.840 | 1.000 | Jinan | 0.989 | 1.000 | 0.989 | 0.874 | 0.930 | 0.940 | 0.865 | 0.867 | 0.998 | 0.820 | 0.845 | 0.969 | Guangzhou | 0.974 | 1.000 | 0.974 | 0.772 | 0.989 | 0.780 | 0.906 | 1.000 | 0.906 | 0.791 | 0.914 | 0.866 | Haikou | 0.825 | 1.000 | 0.825 | 0.827 | 1.000 | 0.827 | 1.000 | 1.000 | 1.000 | 0.696 | 1.000 | 0.696 | Dalian | 0.917 | 0.984 | 0.932 | 0.920 | 0.989 | 0.930 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | Qingdao | 0.792 | 0.836 | 0.947 | 0.740 | 0.828 | 0.894 | 0.743 | 0.774 | 0.959 | 0.754 | 0.791 | 0.953 | Xiamen | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | Shenzhen | 0.544 | 0.678 | 0.803 | 0.588 | 0.773 | 0.761 | 0.611 | 0.724 | 0.844 | 0.474 | 0.601 | 0.789 |
| Central average | 0.853 | 0.877 | 0.972 | 0.829 | 0.882 | 0.941 | 0.866 | 0.874 | 0.991 | 0.817 | 0.845 | 0.968 | Taiyuan | 0.891 | 0.894 | 0.997 | 0.965 | 1.000 | 0.965 | 0.987 | 1.000 | 0.987 | 0.914 | 0.919 | 0.994 | Changchun | 0.798 | 0.801 | 0.996 | 0.831 | 0.835 | 0.995 | 0.806 | 0.808 | 0.998 | 0.912 | 0.970 | 0.940 | Harbin | 0.800 | 0.851 | 0.940 | 0.796 | 0.907 | 0.878 | 0.991 | 1.000 | 0.991 | 0.974 | 1.000 | 0.974 | Hefei | 0.851 | 0.859 | 0.991 | 0.809 | 0.814 | 0.994 | 0.789 | 0.802 | 0.984 | 0.719 | 0.741 | 0.971 | Nanchang | 0.948 | 1.000 | 0.948 | 0.939 | 1.000 | 0.939 | 1.000 | 1.000 | 1.000 | 0.701 | 0.767 | 0.914 | Zhengzhou | 1.000 | 1.000 | 1.000 | 0.886 | 0.927 | 0.956 | 0.875 | 0.875 | 1.000 | 0.829 | 0.833 | 0.995 | Wuhan | 0.691 | 0.759 | 0.910 | 0.682 | 0.823 | 0.829 | 0.815 | 0.824 | 0.990 | 0.833 | 0.870 | 0.957 | Changsha | 0.847 | 0.855 | 0.991 | 0.725 | 0.749 | 0.968 | 0.668 | 0.685 | 0.975 | 0.655 | 0.656 | 0.999 |
| Western average | 0.924 | 0.993 | 0.931 | 0.856 | 0.975 | 0.880 | 0.918 | 0.943 | 0.975 | 0.950 | 0.962 | 0.994 | Huhehot | 0.920 | 1.000 | 0.920 | 0.717 | 1.000 | 0.717 | 0.869 | 1.000 | 0.869 | 1.000 | 1.000 | 0.987 | Nanning | 1.000 | 1.000 | 1.000 | 0.894 | 1.000 | 0.894 | 0.787 | 0.798 | 0.986 | 1.000 | 1.000 | 1.000 | Chongqing | 0.957 | 1.000 | 0.957 | 0.870 | 1.000 | 0.870 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | Chengdu | 0.904 | 1.000 | 0.904 | 0.972 | 1.000 | 0.972 | 0.999 | 1.000 | 0.999 | 1.000 | 1.000 | 1.000 | Guiyang | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.951 | 0.955 | 1.000 | Kunming | 0.919 | 0.933 | 0.986 | 0.783 | 0.825 | 0.949 | 0.781 | 0.793 | 0.985 | 0.807 | 0.814 | 0.996 | Xi’an | 0.938 | 1.000 | 0.938 | 0.852 | 1.000 | 0.852 | 1.000 | 1.000 | 1.000 | 0.915 | 0.927 | 0.992 | Yinchuan | 0.678 | 1.000 | 0.678 | 0.705 | 1.000 | 0.705 | 0.932 | 1.000 | 0.932 | 0.916 | 1.000 | 0.987 | Urumqi | 0.999 | 1.000 | 0.999 | 0.915 | 0.954 | 0.958 | 0.897 | 0.897 | 1.000 | 0.957 | 0.963 | 0.916 | Mean | 0.856 | 0.916 | 0.934 | 0.813 | 0.916 | 0.888 | 0.867 | 0.899 | 0.964 | 0.838 | 0.888 | 0.942 |
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