Build a Comprehensive Ride Comfort Index System for Subway Trains

Abstract

Rail transit is vital for the development of large cities. Comfort is a key factor for urban residents when choosing subway trains for their travel, so the study of ride comfort is also increasingly important in the field of rail human factors. Based on the model of a human-computer interaction system, this paper proposes an analytical model of the influencing factors of rail transit ride comfort; based on this analysis model, from the perspectives of passenger characteristics and the attributes of the indoor and outdoor environment of the subway train passenger compartment, combined with the guiding principles of index selection, a subway train ride comfort system is established, which covers five aspects: facility attributes, microclimate environment, operation performance, passenger crowding, and
visual quality.