Research on optimization method for railway route schemes considering environmental sensitivity characteristics

HAN Feng; LIU Zelong; WANG Chengxiang

doi:10.11860/j.issn.1673-0291.20230051

Abstract：This study addresses the comprehensive optimization of railway route schemes in environ-mentally sensitive areas by exploring an optimization method considering environmental sensitivity fea-tures. Firstly, based on literature review and analysis of environmental sensitive area characteristics, the factors affecting the route scheme are analyzed and summarized, and a railway route scheme opti-mization index system covering 18 indicators in 4 major aspects and incorporating environmental sensi-tive characteristics is established. Secondly, employing grey correlation analysis theory with subjective weighting from expert experience and objective weighting from engineering information, the weight combination is carried out. Further, utilizing the improved Technique for Order Preference by Similar-ity to an Ideal Solution (TOPSIS), the relative closeness of each route scheme is determined, facilitat-ing route scheme optimization. Taking the route scheme selection of the Hezuo-Langmusi section in theXining-Chengdu new railway route as an example, the optimization method is validated. Results indicatethat the relative closenesses of the four alternative schemes for this section are 0.527 9, 0.523 6, 0.508 7,and 0.522 7, with the first scheme exhibiting the highest relative closeness and being deemed optimal. Theoptimization results based on this method are consistent with the actual expert demonstration results. Com-pared with the traditional TOPSIS, the improved TOPSIS calculation results mitigate the impact of unilat-eral advantage indices, providing a more comprehensive consideration of extreme advantages and disadvan-tages in the route scheme, and the final calculation results are closer to the actual situation. This researchcontributes a novel optimization approach for addressing future challenges in environmentally sensitive arearoute scheme optimization.