The multi-stage evaluation framework for low-carbon development level of rail transit under probabilistic linguistic environment

Abstract

The scientific evaluation of the low-carbon development level of rail transits is an important prerequisite for their scientific low-carbon transformation, and how to scientifically evaluate it is a problem that needs to be studied. This article first constructs an evaluation index system that includes 4 evaluation attributes and 11 evaluation criteria based on the reality of low-carbon development in rail transit. Then, aiming at the uncertainty of evaluation information and the fluctuation of evaluation results in the evaluation of low-carbon development of rail transits, a multi-stage evaluation model is constructed based on probabilistic linguistic term set, TOPSIS model principle and multi-stage decision theory. The above evaluation index system and evaluation model together constitute a multi-stage evaluation framework for low carbon development level of rail transits. The results of the case study show that the evaluation index system can provide scientific guidance for the low-carbon development level evaluation of rail transits, and the multi-stage evaluation model can improve the robustness and reduce the fluctuation of the evaluation results, so as to improve the scientificity of the evaluation results.