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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模型的定制出租车服务的动态票价倍增器设置机制

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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，作为调整乘车共享应用中供需关系的有效方法，更多地引起乘客的关注。然而，在大多数乘车共享应用中，动态乘法器由历史数据学习确定，忽略乘客的偏好。本文旨在使有价值的见解成为动态票价乘法器设置机制，然后量化了个人的乘法机，以考虑到不同情况的影响，以便在不同情况下筛选最合适的乘数。首先，提出了一种动态票价乘法器设置系统的基本设计。其次，使用所述偏好调查数据建立基于参考依赖理论的多项式Lo​​git模型。根据不同情况下涌浪乘法器的估计，它表明，在不同情况下移位的个体的可接受乘数，主要在北京的1到1.4之间变化。

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