Establishment of the Metro Passenger Credit System Based on Behavioral Science

Building a new integration mode between security check and ticketing is a technical development trend of automatic fare collection (AFC) in the intelligent metro transportation systems, while the key link to achieve this integration is to establish a scientific passenger credit system. Referring to the payment credit indicator system in the field of commercial and business, this paper analyzes the influencing factors of passenger security credit from the aspects of passengers’ natural information, family situation, economic condition, and behavior performance based on the theory of behavioral science to establish the metro security credit indicator system. The analytic hierarchy process (AHP) method is applied to allocate indicator weights, and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is utilized to rank passenger credits. The proposed framework is helpful to provide method guidance for passenger credit management of metro.