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14 June 2023 Passenger satisfaction evaluation of high-speed railway station based on Bayesian network
Yanan Yuan, Junhua Chen
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Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127081R (2023) https://doi.org/10.1117/12.2683907
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China
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.
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Yanan Yuan and Junhua Chen "Passenger satisfaction evaluation of high-speed railway station based on Bayesian network", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127081R (14 June 2023); https://doi.org/10.1117/12.2683907
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KEYWORDS
Design and modelling
Transportation
Bayesian inference
Data modeling
Probability theory
Industry
Reliability
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