<p>Passenger satisfaction in urban rail transit is shaped by operational service attributes whose relative importance may shift across operating conditions. This study investigates the context-dependent associations between operational service attributes and passenger satisfaction under normal and disrupted service conditions, using Nanning Rail Transit Line 1 as an empirical case. Based on 439 valid survey responses, ordinal logistic regression, confirmatory factor analysis, and non parametric statistical tests were employed to identify key satisfaction drivers across two operating scenarios. The results reveal that train frequency is the strongest independent predictor of overall satisfaction under normal operating conditions, while the number of stops displaces train frequency as the dominant predictor under service disruptions. Alighting time, non significant under normal operations, becomes independently significant under disruption, alongside platform waiting time which remains significant across both conditions, reflecting the heightened salience of congestion management when service stability is compromised. Exploratory segment analysis further suggests that satisfaction may vary by passenger characteristics, with nominally significant differences observed for leisure users with respect to coach congestion, work commuters with respect to running speed under disruption, and high-frequency riders with respect to train frequency, though these patterns did not survive correction for multiple comparisons. These findings demonstrate that the relative importance of operational service attributes is condition-sensitive and potentially user-specific, implying that a single uniform operational strategy is insufficient across varying service states. Transit agencies should prioritise service frequency and headway consistency under normal conditions, while shifting emphasis to maintaining service coverage and managing passenger flow during disruptions.</p>