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According to diversified travel demands of travelers and increasingly complex selection of travel modes, this paper provided grey correlation modeling and correlation analysis for travel modes and their influence factors based on a survey on relevant properties of travel modes, in combination with calculation of indicators having influence on travel modes. Case analysis showed that, different travel modes had slightly different correlations with influence factors: staffs in the traffic and transportation industry had the greatest influence on selection of travel modes, while the total number of traffic accidents and the whole social fixed asset investment in the traffic, warehousing and postal industries had the least influence.
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