Evaluation and research on site selection scheme of high-speed railway station based on binary semantic combination weighting method

Abstract

Aiming at the site selection problem of urban high-speed railway station, the objective weight and subjective weight of indexes were determined by two methods respectively. These two methods were the binary semantic entropy weight method and the binary semantic AHM method. Then according to the combination of weighting based on the principle of minimum overall distance, the evaluation model of high-speed railway station site selection scheme was established. Finally the classical TOPSIS method was used to solve the problem. Taking Lanzhouxi railway station as an example, this paper verifies the rationality and effectiveness of the evaluation method, and provides further reference for the evaluation and decision-making of high-speed railway station site selection in other cities.