As disadvantaged group in the passenger flow of rail transit, the elderly has different characteristics and needs when carrying goods, and face behavioral obstacles objectively existing in the space. Starting from the relationship between behavior and space, this paper research and analyze the behavior differentiation characteristics and behavior occupation of the elderly under different carrying conditions, and focus on the detailed spatial contradictions. On this basis, from the feasible cutting-edge technology application in space, device, guide system, public furniture and other aspects, this paper discusses the space adaptation measures of transfer station hall space to meet the needs of special group behavior, and carries out micro simulation through human factors engineering software JACK to verify the effectiveness of the measures. The research results can provide reference for micro space simulation and detailed design of public space of traffic buildings.

With the increase in the number of urban rail transit users for commuting purposes, the rapidly changing and large-scale short-term rapid increase passenger flow in rail transit stations during peak hours makes it difficult for transfer stations to safely, stably and effectively accommodate passenger flow and meet the needs of transferring. The characteristics of passenger flow and its effect on stations were analyzed through field research and simulation by Anylogic. Based on prefabricated, assembled, foldable and other transformation technologies or equipment, the spatial transformation in the field of space and facilities is proposed. The research establishes the relevance between transformation application scenarios and technologies and measures, and explores the application of space variability in dynamically optimizing the transfer space in underground rail transit stations. The results can provide reference for the optimal design of existing urban rail transit stations in the future.