COMPUTATIONAL OPTIMIZATION AND COMPREHENSIVE ANALYSIS OF SUBWAY INTERIOR DESIGN AND USER PERCEPTION

Abstract

As urbanization has developed, the relationship between interior design and user perception in subways has also become a key issue in urban rail transit systems. This paper elaborates on the complexity of train interior design within a subway as related to user perception and defines the necessity of optimization methods, decision support systems, and simulation tools for such a kind of problem. The main purpose of this research is to use quantitative research methods: a fuzzy logic analysis when used together with computer simulation, to determine the relationship between elements in a subway interior and the impressions of users. This study will clarify factors affecting passenger comfort, such as seating design, lighting, and colour schemes, by implementing fuzzy logic. In order to check user perception about subway design, sixty samples were drawn. Key findings indicate that designed seating, in terms of ergonomics, has a significant impact on improving passenger comfort and safety, while adequate space, high-quality materials, and good lighting distribution all dramatically improve passenger comfort and safety. In addition, beautiful interior design and cleanliness somehow positively affect passenger satisfaction. The model and the methodology proposed in this study bring in invaluable insights regarding the removal of biases that could obscure users' perception and thus materialize in a practical way to derive clues for designing subway interiors that suit users' emotions. This, therefore, proves that it is necessary to take into consideration passenger preferences so as to enhance travel experiences and benefit which accrues from the travel.