![]() ![]() At the subjective level, the estimation of the value of crowding (VoC) is often conducted using Logit models with stated preference (SP) data, and investigates their influence on travel decisions 4, 5, 6, 7. Recent research indicates that although the COVID-19 pandemic has made passengers more sensitive to crowded environments in subway cars 4, passengers still maintain close physical distance between each other 1. ![]() As a result, the urban rail transit environment in Asian countries is more crowded compared to other regions 3. In Seoul, the subway accounts for 65% of the total passenger transportation in the urban public transportation system, while in Shanghai, this ratio reaches 70.31% 1, 2. Urban rail transit plays an indispensable role in the social activities of residents. The research results were used to guide subway car design, and the proposed new scheme demonstrated better performance. Multivariate regression models were established to predict evacuation and boarding/alighting times through design features, which can explain 86.7% and 58.9% of the time variation, respectively. In the evacuation scenario, only the connectivity of the subway car has no effect on evacuation time, while in the boarding and alighting scenario, seat layout, car type, door width, and foyer width all significantly affect boarding and alighting time. The results of the computer simulation showed that the impact of subway car interior design factors on evacuation and boarding/alighting time was not entirely consistent, with seat layout and door width being the most important factors affecting passenger movement. A seven-factor orthogonal simulation experiment was designed, using key geometric features of the subway car interior as variables. The usability of pedestrian agent models was verified through real-life experiments. This study investigated the impact of subway car interior design on passenger evacuation and boarding/alighting efficiency. ![]()
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