Optimal comparison and selection of green and low-carbon railways routes in mountain areas based on cloud model and cumulative prospect theory
As a green transportation mode,railway plays an important role in Chinese transportation power strategy and dual carbon targets,and it is necessary to carry out green and low-carbon research.The railway route selection design is the stage that leads the overall project,which has a decisive effect on subsequent construction and operation.However,comparison and selection is easily influenced by experts and decision-makers.There is uncertainty and ambiguity in expert evaluation,and decision-makers have subjective preferences,making it difficult to qualitatively evaluate the advantages and disadvantages of plans.Additionally,at the initial stage of the project,it is necessary to repeatedly modify and optimize the design plan,making it difficult to obtain comprehensive plan data.Currently,there are few studies on route selection design that implement the green and low-carbon concept,and there is a lack of corresponding engineering cases for reference.It is challenging to quantitatively describe the low-carbon design level of line design.To solve the above problems,a mountain railway green and low-carbon route design optimization method based on cloud model and cumulative prospect theory was proposed.The evaluation system was constructed by combining the characteristics of mountain railways with green and low-carbon design concepts.The entropy weight method and CRITIC method were used to obtain indicator weights.The cloud model was used to comprehensively consider uncertainty and ambiguity in expert comments,and the cumulative prospect theory was used to consider the subjective preferences of decision-makers.The formula for estimating the carbon emissions of railway lines and the photovoltaic power generation potential of stations was proposed,which realized the quantitative description of the low-carbon design level of lines.Taking the section of the China-Laos Railway from Meng'a to Bounpoua as an example for analysis,the conclusions were consistent with those of experts,verifying the effectiveness of the method.This can provide decision support for mountain railway line design,provide a new way of thinking for transportation carbon emissions calculation and photovoltaic potential assessment,and contribute to China's green and low-carbon transformation and high-quality economic development.
railway line selectioncloud modelcumulative prospect theoryChina-Laos railwaygreen and low-carbon
万方数据
维普
