Research Article
A Comparative Evaluation of Public Road Transportation Systems in India Using Multicriteria Decision-Making Techniques
Table 2
Efficiency and Q score for the DMUs (year 2014-2015).
| Sr. No. of the DMU | Accident | Traffic revenue | Expenses | Vehicle operations | Manpower | Maintenance | Utility score | Regret score | Q value | Rank | Weights | 0.084 | 0.258 | 0.258 | 0.136 | 0.154 | 0.109 |
| 1 | 0.879 | 1.000 | 0.739 | 0.941 | 0.791 | 0.643 | 0.288 | 0.134 | 0.496 | 20 | 2 | 0.596 | 1.000 | 0.539 | 1.000 | 0.952 | 0.539 | 0.400 | 0.237 | 0.788 | 39 | 3 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.585 | 0.073 | 0.073 | 0.202 | 5 | 4 | 1.000 | 1.000 | 0.998 | 0.841 | 0.286 | 0.909 | 0.229 | 0.128 | 0.437 | 15 | 5 | 0.573 | 1.000 | 0.926 | 1.000 | 0.913 | 0.379 | 0.240 | 0.109 | 0.409 | 12 | 6 | 0.584 | 1.000 | 0.582 | 1.000 | 1.000 | 0.527 | 0.373 | 0.215 | 0.723 | 34 | 7 | 1.000 | 0.755 | 0.799 | 1.000 | 0.707 | 0.472 | 0.390 | 0.141 | 0.593 | 29 | 8 | 1.000 | 1.000 | 1.000 | 1.000 | 0.484 | 0.890 | 0.112 | 0.093 | 0.272 | 7 | 9 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.608 | 0.069 | 0.069 | 0.191 | 4 | 10 | 0.532 | 1.000 | 0.916 | 1.000 | 0.723 | 0.477 | 0.269 | 0.092 | 0.400 | 11 | 11 | 0.699 | 0.876 | 0.641 | 0.868 | 0.414 | 0.650 | 0.547 | 0.185 | 0.807 | 40 | 12 | 0.979 | 0.974 | 0.938 | 0.937 | 0.378 | 0.938 | 0.207 | 0.112 | 0.387 | 10 | 13 | 0.984 | 1.000 | 0.878 | 1.000 | 0.472 | 0.407 | 0.265 | 0.105 | 0.421 | 14 | 14 | 0.992 | 0.854 | 1.000 | 0.742 | 0.924 | 0.647 | 0.297 | 0.136 | 0.508 | 21 | 15 | 0.776 | 1.000 | 0.730 | 0.927 | 0.499 | 0.730 | 0.355 | 0.139 | 0.561 | 26 | 16 | 0.587 | 1.000 | 0.630 | 1.000 | 0.575 | 0.452 | 0.438 | 0.190 | 0.728 | 35 | 17 | 0.681 | 1.000 | 0.630 | 1.000 | 0.696 | 0.651 | 0.364 | 0.190 | 0.668 | 32 | 18 | 1.000 | 0.694 | 1.000 | 1.000 | 1.000 | 1.000 | 0.176 | 0.176 | 0.484 | 19 | 19 | 0.702 | 1.000 | 0.707 | 1.000 | 1.000 | 0.527 | 0.288 | 0.151 | 0.528 | 23 | 20 | 1.000 | 0.550 | 1.000 | 1.000 | 0.799 | 1.000 | 0.294 | 0.258 | 0.742 | 37 | 21 | 1.000 | 0.675 | 0.977 | 0.967 | 0.639 | 0.812 | 0.314 | 0.186 | 0.619 | 30 | 22 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.760 | 0.042 | 0.042 | 0.117 | 2 | 23 | 0.891 | 0.894 | 0.712 | 1.000 | 0.824 | 0.521 | 0.345 | 0.148 | 0.570 | 27 | 24 | 0.706 | 1.000 | 0.590 | 0.945 | 0.549 | 0.554 | 0.452 | 0.211 | 0.780 | 38 | 25 | 0.656 | 1.000 | 0.594 | 0.994 | 0.729 | 0.553 | 0.401 | 0.209 | 0.734 | 36 | 26 | 0.944 | 1.000 | 1.000 | 0.946 | 1.000 | 0.702 | 0.091 | 0.053 | 0.177 | 3 | 27 | 0.580 | 1.000 | 0.656 | 1.000 | 0.677 | 0.396 | 0.417 | 0.177 | 0.686 | 33 | 28 | 0.657 | 1.000 | 0.697 | 1.000 | 1.000 | 0.458 | 0.313 | 0.156 | 0.559 | 25 | 29 | 0.698 | 1.000 | 0.756 | 1.000 | 0.266 | 0.598 | 0.383 | 0.132 | 0.571 | 28 | 30 | 0.830 | 0.945 | 0.746 | 0.943 | 0.518 | 0.752 | 0.353 | 0.131 | 0.543 | 24 | 31 | 1.000 | 0.853 | 1.000 | 1.000 | 0.572 | 0.579 | 0.236 | 0.084 | 0.357 | 9 | 32 | 0.822 | 0.683 | 0.774 | 0.760 | 0.523 | 0.628 | 0.608 | 0.182 | 0.852 | 42 | 33 | 0.826 | 1.000 | 0.779 | 1.000 | 0.504 | 0.780 | 0.273 | 0.114 | 0.445 | 16 | 34 | 0.582 | 1.000 | 0.498 | 1.000 | 1.000 | 0.487 | 0.424 | 0.258 | 0.848 | 41 | 35 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1 | 36 | 0.899 | 1.000 | 0.688 | 1.000 | 0.986 | 0.539 | 0.262 | 0.160 | 0.527 | 22 | 37 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.546 | 0.080 | 0.080 | 0.221 | 6 | 38 | 1.000 | 1.000 | 0.814 | 1.000 | 1.000 | 0.575 | 0.171 | 0.096 | 0.326 | 8 | 39 | 1.000 | 1.000 | 0.763 | 1.000 | 1.000 | 0.483 | 0.213 | 0.122 | 0.411 | 13 | 40 | 1.000 | 1.000 | 0.589 | 1.000 | 1.000 | 0.556 | 0.290 | 0.211 | 0.648 | 31 | 41 | 1.000 | 1.000 | 1.000 | 1.000 | 0.144 | 0.844 | 0.182 | 0.154 | 0.448 | 17 | 42 | 1.000 | 1.000 | 0.706 | 1.000 | 1.000 | 0.706 | 0.203 | 0.151 | 0.460 | 18 |
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