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首页> 外文会议>COTA international conference of transportation professionals >Dynamic Fare Multiplier Setting Mechanism for Tailored Taxi Service Based on Multinomial Logit Model
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Dynamic Fare Multiplier Setting Mechanism for Tailored Taxi Service Based on Multinomial Logit Model

机译：基于多项式Lo​​git模型的出租车业务动态票价乘数设置机制

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摘要

Dynamic fare, as an efficient method to adjust the supply-demand relationship in ride-sharing apps, is drawing more attention from passengers. However, in most ride-sharing apps, the dynamic multipliers determined by historical data learning, which ignores the passengers' preference. This paper aims to get valuable insights into dynamic fare multiplier setting mechanism and then quantify an individual's multiplier preference for screening out the most suitable multiplier in different situations, with the consideration of taxies' influence. First, a basic design for dynamic fare multiplier setting system is proposed. Second, a multinomial logit model based on reference-dependent theory is established using stated preference survey data. According to the estimation of surge multiplier in different situation, it shows that the acceptable multiplier of individuals shifted in different situations and mainly varies between 1 and 1.4 in Beijing.
机译：动态票价作为一种在乘车共享应用程序中调整供求关系的有效方法，正在引起乘客的更多关注。但是，在大多数乘车共享应用程序中，动态乘数由历史数据学习确定，而忽略了乘客的偏好。本文旨在获得对动态票价乘数设置机制的宝贵见解，然后在考虑到出租车的影响的情况下，量化个人的乘数偏好，以筛选出在不同情况下最合适的乘数。首先，提出了动态票价乘数设定系统的基本设计。其次，使用陈述的偏好调查数据建立基于参考依赖理论的多项式logit模型。根据不同情况下的电涌乘数估计，表明北京的个体可接受的乘数在不同情况下发生了变化，主要在1到1.4之间变化。

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