关键词: BP神经网络, 商业网点, 交通方式, 公交比例

Abstract: Aiming at features of traffic structure in commercial sites, the paper discusses the factors which effect the public traffic modal split. The BP neural network can approach continuous function precisely. So under the strong non-linear mapping and generalization characteristics of BP neural network, a prediction model of commercial sites have been established based on the available commercial sites survey data of Beijing. Meanwhile, this paper has developed the corresponding program taking advantage of the neural network toolbox in MATLAB. When the factors change, it can quantitatively analyze the influence to the proportion of transit trips.

Key words: BP neural network, commercial sites, traffic modal split, proportion of transit trips