Study on the Impact of High Speed Rail Construction on Expressways Based on AHP, Logit and Multivariate Statistical Regression Method
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DOI: 10.25236/ciais.2019.046
Corresponding Author
Renyuan He
Abstract
In view of whether or not the vehicle traffic pressure has been slowed down after the completion of the high-speed railway, a complete modeling work is carried out based on the theory of AHP analytic hierarchy process and Logit model. First, on the basis of consulting a lot of actual data and data, and considering various factors, we consider the alleviation of the high speed rail's pressure on expressway traffic. On the basis of this, combined with the factors that affect the location and quantity of high-speed railway stations, we use the Logit model to analyze and explain the difference of the impact of the high speed rail on the highway traffic pressure. Combined with the results obtained from the Logit model, taking into account the characteristics of the high speed rail, such as the number of people traveling, the comfort and the speediness, and the traffic congestion determination model of the city, we can find out whether the high speed rail has a slow solution to the traffic pressure of the expressway. By collecting and analyzing the data, we get the factors that influence people's choice of travel mode. Every year, the number of trips used by various means of transportation, combined with the main factors, alleviate the pressure of high-speed rail to the traffic pressure of Expressway vehicles.
Keywords
Logit model; AHP analytic hierarchy process; Logit method; Multivariate statistical regression model; Factor analysis; Variable dimension reduction; Urban traffic congestion judgment model; MatLab