An Empirical Study of Transport Efficiency of Urban Rail Transit Based on Data Envelopment Analysis and Tobit Model

Abstract:

This paper constructs a data envelopment analysis (DEA) model to analyze the transport efficiency urban rail transit of 20 cities in China by using the data of 2015, and then uses the Tobit regression model to evaluate the correlation between the transport efficiency and various factors. The results show that the overall efficiency of urban rail transit in China is low. The pure technical efficiencies of the cities that began to operate urban rail transit systems in last three years are higher, while their scale efficiencies are lower. The rail transit systems in most cities are in the increasing stage of scale revenue. The transport efficiency of urban rail transit is related to the density of railway network, quantities of stations, and transfer stations. The density of railway network has more influence on transport efficiency.