Separation of car-dependent commuters from normal-choice riders in mode-choice analysis
Separation of car-dependent commuters from normal-choice riders in mode-choice analysis
复制标题
在模式选择分析中将依赖汽车的通勤者与正常选择的乘客分开
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Jiyoung Yun
中科院分区：
文献类型：
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作者：
Keemin Sohn;Jiyoung Yun
汽车使用量的不断增加是大都市地区的一个大问题。为了控制交通流量和减轻空气污染，大多数大都市政府都在试图劝阻使用汽车。然而，结果并不令人满意。众所周知，正常选择的乘客选择他们的旅行模式的基础上的效用，这是由模式特定的阻抗和个人特征。另一方面，本研究的重点是确定依赖汽车的通勤者谁倾向于继续驾驶汽车，无论他们面临的情况。在这项研究中，心理测量因素特征的汽车依赖通勤者进行了调查。然而，模式选择模型的性能没有得到充分的增强，尽管纳入的心理因素。当排除依赖汽车的通勤者时，性能大大改善。基于心理测量因素，支持向量机成功地分离了汽车依赖的通勤者和正常选择的乘客。
The ever-increasing use of cars is a big problem in metropolitan areas. To manage the traffic stream and alleviate air pollution, most metropolitan governments are attempting to discourage the use of cars. Nevertheless, the results have not been satisfactory. It is well known that normal-choice riders choose their travel mode based on utility, which is determined by mode-specific impedances and individual characteristics. On the other hand, this study focuses on identifying car-dependent commuters who tend to keep driving cars regardless of the circumstances they are confronted with. For this study, psychometric factors characterizing car-dependent commuters were investigated. However, the performance of the mode-choice model was not sufficiently enhanced despite incorporation of the psychometric factors. The performance improved considerably when the car-dependent commuters were excluded. Based on psychometric factors, the support vector machine successfully separated the car-dependent commuters from normal-choice riders.