Passenger satisfaction evaluation of high-speed railway station based on Bayesian network

Abstract

In the face of the fierce market competition in the current transportation industry, high-speed railway stations, as an important part of the high-speed rail system, should continuously improve to meet the growing demand for high-quality services from passengers. From the perspective of passenger satisfaction evaluation of high-speed railway stations, a three-level evaluation index system is constructed. Based on this, a high-speed railway station passenger satisfaction evaluation method based on Bayesian network is proposed. The Bayesian network structure is learned based on survey data to construct a Bayesian network corresponding to the evaluation index system, and the passenger satisfaction comprehensive score of the station is obtained through Bayesian inference using the inference calculation rules between different level indicators. Taking Beijingnan Railway Station as an example, empirical research is conducted, and the score of Beijingnan Railway Station is 7.11, indicating a good level of passenger satisfaction.