Evaluation Model of Passenger Satisfaction Degree of Service Quality for Urban Rail Transit

Abstract

As the main public transportation in major cities, urban rail transit attracts passengers for its size, efficiency, convenience and punctuality. With the rapid development of China’s rail transit, the service has put forward higher requirements. According to the basic theory of the service quality and the characteristics of rail transit, this paper establishes an evaluation index system, and then uses evaluation methodology of neural networks to evaluate the passenger satisfaction degree. At last, an experiment was done by MATLAB software to verify the reasonableness of the evaluation model. The results indicate that this workable approach provides a lot of useful information for rail transit departments to understand travelers’ demand and modify service quality.