Abstract：Waiting time is one of the important factors affecting the attractiveness of public transportation. Waiting time value as the medium of conversion between waiting time and travel cost often has a greater impact on the organizational optimization results of public transportation. The data of willingness to pay (WTP) for travelers to reduce waiting time under different conditions was obtained through research interviews and SP survey methods. Based on the theory of disaggregation, a prediction model of payment behavior based on multinomial Logit model was established. Based on the traveler’s willingness to pay, the value of waiting time under different conditions was calculated by using the prediction results, and the difference of waiting time value under different conditions and its variation rule changing with waiting time length were studied. The results show that the waiting time value is significantly affected by the waiting time length, income level, travel purpose and weather conditions, and it is positively related to waiting time length and income level. The waiting time value of working trip is higher than that of entertainment trip, meanwhile, the waiting time value in bad weather is higher than that in fine weather. In addition, the relationship between the waiting time value and the waiting time length can be well analyzed by Logistic curve, and the fitting coefficient is close to 1.
肖梅1，徐福博1，边浩毅2，颜建强3. 基于多项Logit模型的候车时间价值估计[J]. 重庆交通大学学报（自然科学版）, 2020, 39(10): 24-30.
XIAO Mei1, XU Fubo1, BIAN Haoyi2, YAN Jianqiang3. Estimation of Waiting Time Value Based on Multi-Logit Model. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(10): 24-30.
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2020, Vol. 39 
