Abstract
ABSTRACT Considering the limitations of existing point-to-point guidance in airport terminals, this paper introduces an interactive chain-based guidance which can provide navigation incorporating passengers’ activity chains and congestion information. To evaluate the efficiency of the interactive chain-based guidance, we developed a multi-agent simulation model incorporating passengers’ chain-based decision (MAAC), the model comprises four modules environment design, trajectory generation, satisfaction evaluation and activity chain updates. A unique survey integrating virtual terminal is developed to collect passengers’ behavioural data in Beijing Capital International Airport. The model is implemented on the platform of MATSim, and the results indicate a mean absolute percentage error of 20.44%. The interactive chain-based guidance can lead to a 28.29% reduction in corridor congestion, a 29.24% decrease in crowd density, and a 12.52% improvement in average satisfaction score. According to the results, the interactive chain-based guidance is efficient in improving passengers’ satisfaction and organizing the passenger flow for hub airports.
Published Version
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