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RP data were more reliable,while SP data were more flexible. In order to join the two types of data together to reduce the traffic survey work volume and improve the accuracy of the survey,and based on the analysis of the design of RP/SP survey scheme,the application disaggregate model theory and the survey data of Shihezi city,a multinomial logit (MNL) model for predicting the traffic mode choice was developed,and spss13.0 was used to calibrate its parameters. After testifying the validity of the model by fitting of the model,the article takes the model to forecast the traffic share situation of Shihezi city. Experimental results show that the MNL model combined the RP/SP data can consider more factors affecting the resident travel mode choice,and can help to improve the prediction accuracy and practicability of the model.
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