Journal of Liaoning Petrochemical University
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Evaluation Model of High⁃Speed Railway Station Based on Machine Learning
Xu Ya′nan, Cao Yu, Wei Haiping, Li Qinqin, Zhang Luyue
Abstract205)   HTML    PDF (763KB)(140)      
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.
2021, 41 (3): 91-96. DOI: 10.3969/j.issn.1672-6952.2021.03.014