论文标题
关于乘车司机的搬迁行为
On the Relocation Behaviour of Ride-sourcing Drivers
论文作者
论文摘要
作为个别服务供应商,乘车司机可以自由地采用自己的搬迁策略,包括等待,自由巡航或遵循平台建议。这些决定显着影响供应和需求之间的平衡,从而影响系统性能。我们进行了一项陈述的选择实验,以研究乘车驱动器的搜索行为并检查新的政策。收集了在美国工作的576个乘车驱动器的独特数据集,并使用了一种选择建模方法来估计多个现有和假设属性的影响。结果表明,乘车驾驶员的搬迁策略之间的驾驶员之间有很大变化。高潮定价可显着刺激驾驶员前往指定区域。但是,驾驶员与涌动或高需求区域的位置之间的距离使他们竭尽全力遵循平台重新定位建议。我们讨论了我们发现对各种平台政策对实时信息共享和平台重新定位指导的含义。
Ride-sourcing drivers as individual service suppliers can freely adopt their own relocation strategies including waiting, cruising freely, or following the platform recommendations. These decisions substantially impact the balance between supply and demand, and consequently affect system performance. We conducted a stated choice experiment to study the searching behaviour of ride-sourcing drivers and examine novel policies. A unique dataset of 576 ride-sourcing drivers working in the US was collected and a choice modelling approach was used to estimate the effects of multiple existing and hypothetical attributes. The results suggest that relocation strategies of ride-sourcing drivers considerably vary between different groups of drivers. Surge pricing significantly stimulates drivers to head towards the designated areas. However, the distance between the location of drivers and surge or high-demand areas demotivates them to follow the platform repositioning recommendations. We discuss the implications of our findings for various platform policies on real-time information sharing and platform repositioning guidance.