Mode Choice Behavior Analysis under the Impact of Transfer Fare Discount: A Case Study from Beijing Public Transit System

This paper focuses on establishing a nested logit (NL) model to analyze the relationship between transfer fare discount and mode choice behavior of urban residents based on a questionnaire survey. Influencing factors on mode choice of urban residents are analyzed from different perspectives. Revealed preference (RP) and stated preference (SP) survey questionnaires are designed to collect the mode choice behavioral data. The influences of transit transfer fare discount between transit modes, and transfer fare discount between car and subway (park and ride discount, i.e., P&R discount) have been analyzed based on a proposed nested logit model. The results show that mode share for transit increases with the implementation of the transfer fare discount. When the transfer fare discount increases from 0 to 40%, the share of mode transferred between bus and subway increases by 8.8%, representing the most attractive policy for commuters among all fare discount options.