Research On Comprehensive Evaluation Of Location Planning For High-speed Railway Hubs In Cities

High-speed rail has gradually become a modern transportation tool.It not only has the advantages of high passenger capacity,fast operation,and good safety,but also brings development opportunities to external city economic construction,transportation hub planning and related industries.The location of the high-speed rail station is the first priority for the planning and construction of the high-speed rail hub.A scientific and reasonable location will have an important significance for the entire road grid bureau,the overall urban transportation efficiency,and the urban spatial layout.This paper analyzes the urban passenger volume forecasting algorithm and studies the transfer rule of passenger traffic under the high-speed railway era.Based on the principle of maximizing user benefits,the site selection of high-speed rail station is studied,a comprehensive evaluation system is constructed,and a comprehensive BP fuzzy neural network evaluation method is used to comprehensively evaluate different location plans to determine the most scientific and reasonable High-speed rail station location.First of all,this paper analyzes the factors affecting the prediction of urban passenger traffic.In order to ensure the accuracy of the forecast results,a combination forecasting model based on grey regression is constructed through comparative analysis.The paper also quantitatively and qualitatively examines the forecast results of the grey regression combination model in this paper.In addition,it studies the urban passenger transport volume transfer rules in the era of high-speed rail.Taking the planning of the high-speed rail station in Ankang City as an example,the demand for urban transportation in Ankang city and the characteristics of passenger traffic changes in the era of high-speed railway are analyzed.Secondly,taking into account the “one core,two savings,two protections,and three coordinations” site selection principles for high-speed railway passenger stations,the factors influencing the location of high-speed rail passenger stations are analyzed,starting from multiple perspectives and the concept of high-speed rail services,based on Passenger traffic volume forecasting data sets up an evaluation index system that maximises the benefits of the six major users of the National Railway Administration,local governments,urban planning agencies,existing residents near the station sites,the Ministry of Ecology and Environment,and travel passengers.Because part of the evaluation index selection of high-speed railway station site selection program is qualitative research,it needs to overcome the subjective error of the evaluation system attribute value.BP fuzzy neural network can not only evaluate the evaluation object according to the size of the composite score.And sorting,but also take into account multiple influencing factors and self-learning capabilities,effectively solve the problem of six qualitative and quantitative user needs.In order to ensure the scientific and rational evaluation of the Ankang City site selection program.Finally,taking the location of high-speed railway in Ankang City as an example,taking the maximization of user benefits as the goal,based on the BP fuzzy neural network evaluation model,a case analysis of the location evaluation of the new high-speed rail station in Ankang City,Shaanxi Province was conducted.The analysis of the results shows that under the construction background and planning ideology of the high-speed railway station in Ankang City,the site selection of the high-speed railway station in Wangtai Village is in line with the medium and long-term planning of the comprehensive transport hub of the city and the development needs of the urban construction.