Abstract
The prime objective of this paper was to develop the models of evaluating the passenger transfer time during the urban rail transit transfer with point transfer and channel transfer. The prevailing statistical model of multiple linear regression was applied to construct the relationships between the transfer time and the variables of transfer distance, marking sensitivity, passenger flow, and channel width. The models were calibrated with the field data collected from the cities of Nanjing and Shanghai. It revealed that the transfer distance, marking sensitivity, ratio of passenger flow and width had linear relationship with the transfer time.
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