doi:

DOI: 10.3724/SP.J.1249.2016.06653

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2016/33:6 PP.653-660

Competitive factors between civil aviation and high-speed rail based on radial basis function and logistic regression


Abstract:
The competitive factors that affect civil aviation transportation and high speed railway are analyzed from two aspects of individual travel demand and traffic supply. Seventeen factors of six dimensions are selected, and radial basis function (RBF) neural network and logistic regression are used to analyze the main competitive factors of the aircraft and the high speed railway. The results show that competitive factors in decending order of influence in turn are the running time, travel distance, fare, reliability, punctuality and arrival time according to the conclusion of RBF. However, the competitive factors from large to small in turn are the running time, travel distance, fare, reliability, arrival time, and punctuality according to the logistic regression analysis. Overall, the greatest factor affecting the competition between civil aviation and high-speed rail is the transport mode property, such as running time, price and punctuality, followed by connection property, such as arrival time. The influence of individual attributes and ticket attributes is relatively little.

Key words:transportationsystems engineering,civil aviation,high-speed rail,radial basis function(RBF) neural network,logistic regression analysis,transportation system planning

ReleaseDate:2016-12-02 18:11:39



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