Taxi drop-off behavior based on Gamma hybrid model
A taxi drop-off decision model was proposed based on the Gamma hybrid model,in order to better understand the taxi drop-off behavior and improve the drop-off area's traffic efficiency.The accurate taxi trajectory data was used,and the taxi stopping time was decomposed into active stopping time,forced stopping time,and drop-off time.A mixed distribution model of waiting tolerance was established based on the analysis of forced stopping time.The verification results of the model were consistent with the actual data.On this basis,the potential passenger patience distribution,parking location,expected parking space,and travel time were taken as the core indicators of the drop-off decision model.Then,relevant factors were extracted as explanatory variables,with drop-off or not as explained variables.Finally,a binary panel Logit model was constructed and tested.Results show that passenger patience plays a decisive role in vehicle drop-off.The prediction accuracy of the drop-off decision model is more than 81%,which indicates that the model can well predict taxi drop-off behavior and provides a research basis for the further research on congestion reduction strategy.
passenger terminalpassenger drop-off areaGamma hybrid modeldrop-off decisionpanel data model
NETL
NSTL
万方数据
维普
