Passengers’ Demand Characteristics Experimental Analysis of EMU Trains with Sleeping Cars in Northwest China

Yuzhao Zhang, Jianqiang Wang and Wenjuan Cai
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Yuzhao Zhang: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
Jianqiang Wang: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
Wenjuan Cai: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

Sustainability, 2019, vol. 11, issue 19, 1-17

Abstract: Passenger demand characteristics for electrical multiple unit (EMU) trains with sleeping cars will directly affect the train operation scheme in a long transportation corridor. Descriptive statistics of individual attributes and passenger choice intentions for EMU trains with sleeping cars are calculated based on the revealed preference (RP) and stated preference (SP) survey data in Northwest China to illustrate the overall conditions of passengers’ demands. Considering the higher dimensionality and multi-collinearity in the dataset of influencing factors, the factor analysis method was first adopted to reduce the number of dimensions of the raw dataset and obtain orthogonal common factors. Then, the ordinal logistic regression model was adopted to test and perform a regression analysis based on multinomial logit theory. The analysis shows that these influencing factors, such as income, profession, educational background and residence, would have a greater impact on the choice of an EMU train with sleeping cars. It is significant that passengers’ choice intentions are positively correlated with income and educational background. The result can provide some reference for the decision-making regarding operating an EMU train with sleeping cars in Northwest China. In addition, the proposed method can be applied to the analysis of passengers’ demand characteristics in similar situations.

Keywords: passenger transport; transportation corridor; data analysis; EMU trains with sleeping cars; multinomial logit (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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