公路旅游交通
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论文对常见的旅游交通需求预测模型作了分类介绍,并对包括神经网络模型在内的几类模型进行了分析,说明了神经网络预测模型运用在公路旅游交通需求预测的优势。
Some modes of traffic demand forecast of highway tourism which were usually used were explicated and were analyzed in the paper .
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从总体趋势看,公路和民航旅游交通碳排放量最高,铁路旅游交通次之,水运旅游交通最低。
Saw from the total trend , it was the highest for carbon emissions of highway and aviation , then was railway tourism transport , while waterway was the least .