关键词: 高速铁路, 车站选址, 灰色预测, 主成分分析, 机器学习

Abstract: The location of high⁃speed railway stations has always been in a contradiction. The government should not only reduce the impact of high⁃speed railway stations on people's lives, but also consider the cost of demolition. How to make the location of high⁃speed railway stations more scientific has become a problem that needs careful consideration. Therefore, the model of economic contribution degree was established by using linear regression analysis and grey prediction method to obtain the economic contribution degree of high⁃speed railway station to the city;based on the relevant data of high⁃speed railway in Liaoning Province, considering the construction cost, construction time, transfer convenience and economic contribution, a high⁃speed railway station location evaluation model based on principal component analysis was proposed and the evaluation model was used to analyze the siting of three high⁃speed railway stations in Liaoning Province. The results show that the siting of Shenyang North Railway Station is the most successful,and the passenger flow and distance from the city center are the important factors affecting the development of high⁃speed railway.

Key words: High?speed railway； Station location, Grey prediction, Principal component analysis, Machine learning