摘要：【中文】本发明公开了一种基于旅客出行多元数据分析的空铁联程中转地点确定方法，该方法包括了分类预测模型多源数据采集、多元数据分类、旅客出行方式选择时最大影响因素的预测、空铁联程出行信息采集、出行方案排序及生成以及中转地点的确定六大步骤。本发明方法通过对旅客一年中的出行频率、旅客一年中出行的主要目的、旅客一年中一次出行的平均距离、旅客一年中一次出行的平均花费等数据的分类预测出不同旅客出行方式选择时影响最大的因素，为旅客的空铁联程出行提供最符合个人偏好的中转地点选择以及个性化的出行方案推荐。 【EN】The invention discloses a method for determining a transit place of an air-rail joint based on passenger travel multivariate data analysis, which comprises six steps of classification prediction model multi-source data acquisition, multivariate data classification, prediction of maximum influence factors during passenger travel mode selection, air-rail joint travel information acquisition, travel scheme sequencing and generation and transit place determination. According to the method, the factors which have the greatest influence when different passenger travel modes are selected are predicted through classification of data such as the travel frequency of the passenger in one year, the main purpose of the passenger in one year, the average distance of the passenger in one year, the average cost of the passenger in one year and the like, and the transit place selection and personalized travel scheme recommendation which are most in line with personal preference are provided for the air-rail joint travel of the passenger.