A network model was constructed based on the Space-P method from the perspective of dynamic passenger flow redistribution in order to effectively evaluate the resilience of multi-modal passenger transport network in urban agglomeration under emergency. A comprehensive resilience evaluation index was established to consider both network structural robustness and passenger accessibility. A dynamic passenger flow redistribution strategy based on residual capacity was proposed. Passenger transfer willingness and capacity adjustment coefficient were introduced to modify the redistribution weight. The improvement of network resilience by the dynamic strategy was analyzed through a comparison with a static strategy. Key nodes within the network were identified. An empirical case study was conducted on the urban agglomeration in the middle reaches of the Yangtze River. Results showed that the degradation of passenger transport network service performance was significantly accelerated by the failure of key nodes. The degradation of network function was effectively delayed by the dynamic strategy under any failure scenario. The overall service performance of the passenger transport network was maintained above 0.6. Superior network resilience was exhibited when the passenger transfer willingness was greater than or equal to 0.4 and the capacity adjustment coefficient was less than or equal to 0.4.