Travel mode choice model with multiple attributes based on interval number
Article Text (Baidu Translation)
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摘要: 采用区间数描述出行者出行信息的不确定性, 提出了多属性出行方式决策模型。基于互补判断矩阵的最小平方法计算不同出行方式的权重, 建立了离差最大化模型计算特性变量的权重, 进而获得出行方式的组合权重, 并根据调查数据筛选小汽车出行和公交出行的样本进行模型有效性检验。分析结果表明: 当小汽车出行权重达到0.65以上时, 出行者往往采用小汽车出行; 当公交车出行权重达到0.68以上, 往往采用公交车出行。可见, 该模型可有效模拟出行者出行方式选择。Abstract: The uncertainty of travel information was described by using interval numbers, and a travel mode choice model with multiple attributes was put forward.The least-square method based on complementary judgment matrix was used to obtain the weights of different travel modes, the weight of each attribute variable was computed based on a dispersion maximization model, and the composite weight of each travel mode was obtained.The efficiency of the choice model was validated according to car and public transit travel samples.Analysis result shows that car is usually chosen when its travel weight exceeds 0.65, and public transit is usually chosen when its travel weight exceeds 0.68, so the model can simulate the travel mode choices of travelers effectively.
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Key words:
- traffic planning /
- travel mode /
- multiple attribute decision-making /
- interval number
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表 1 模糊语言的评定值
Table 1. Assessment values of fuzzy language
模糊语言 优 良 中 差 极差 区间数评定值 (0.8, 1.0] (0.6, 0.8] (0.4, 0.6] (0.2, 0.4] [0, 0.2] 
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