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Behavior of taxi customers in hailing vacant taxis: a nested logit model for policy analysis

机译:在出租车空置出租车中的出租车客户的行为:用于政策分析的嵌套logit模型

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摘要

This study models and examines the taxi customers' preferences for hailing vacant taxis on streets. A stated preference survey was conducted to randomly select and interview 1242 taxi customers at taxi stands and pedestrians on streets, who had experiences of taking taxis recently, about their choices under different given hypothetical scenarios. In total, 4968 observations were collected and used for developing the discrete choice models for the analysis. To account for the potential correlations among alternatives, two nested logit models are developed, calibrated, and compared with a standard multinomial logit model in the investigation. The results of likelihood ratio test demonstrate that one of the developed nested logit models is better than the standard multinomial logit model to describe the search behavior of taxi customers. The model results also show that the walking time to and the waiting time at the location for hailing taxis, the extra travel time to the destination because of local circulation for finding a way from the pickup location heading to a passenger's destination, as well as the taxi customers' perceptions for walking to and waiting at taxi stands were found as significant factors to influence their decisions. In addition, the results of market segmentation analysis illustrate the variations in taxi-search strategies of taxi customers in different districts and regions. Some policy implications on introducing more taxi stands and improving the utilization rates of taxi stands are also discussed. We believe that the proposed models, findings, and discussion are useful for developing micro-simulation models to evaluate the performance of road traffic networks with taxi services and developing simulation-based optimization models to answer policy questions related to taxi services. Copyright © 2015 John Wiley & Sons, Ltd.
机译:这项研究模拟并检查了出租车顾客对在街道上空置出租车打招呼的偏好。进行了明确的偏好调查,以随机选择和采访最近有过出租车经历的出租车站和街上行人的1242名出租车顾客,以了解他们在不同给定假设情景下的选择。总共收集了4968个观测值,并将其用于开发用于分析的离散选择模型。为了考虑替代方案之间的潜在相关性,开发了两个嵌套的logit模型,进行了校准,并与调查中的标准多项式logit模型进行了比较。似然比测试的结果表明,所开发的嵌套logit模型之一比标准的多项式logit模型更好地描述了出租车客户的搜索行为。模型结果还显示,到达出租车的步行时间和等待时间,由于本地环流以寻找从接载地点前往乘客目的地的方式而导致的到达目的地的额外旅行时间以及出租车顾客对于步行去和在出租车站等车的感受被认为是影响他们决定的重要因素。此外,市场细分分析的结果说明了不同地区和地区的出租车顾客的出租车搜索策略的差异。还讨论了引入更多出租车站和提高出租车站利用率的一些政策含义。我们认为,所提出的模型,发现和讨论对于开发微观仿真模型以评估带有出租车服务的道路交通网络的性能以及开发基于仿真的优化模型以回答与出租车服务相关的政策问题非常有用。版权所有©2015 John Wiley&Sons,Ltd.

著录项

  • 作者

    Wong SC; Szeto WY; Wong RCP;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 eng
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