Based on cumulative prospect theory of behavioral economics, walking time, travel time, time sensitivity, and other factors are analyzed to quantify the effect factors of paths choice as building the generalized cost function. Then, according to the cumulative prospect theory, the paper discusses the fit area for pedestrians' transfer to rail transit. Compared with the traditional way of determining experienced attraction value and travel intention data, the model is likely more effective and reasonable. It is aimed to provide references for the planning, set selection, and evaluation of urban rail transit stations.
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