双重断的乘车采购市场的双面动态,包括私人和集体乘车
Arjan de Ruijter1, Florian Dandl2, Roman Engelhardt2
1Department of Transport & Planning, Delft University of Technology, Delft, The Netherlands.
概括
骑车采购的市场碎片化,就像使用多个应用程序一样,会造成效率低下. 这项研究表明这些成本是如何变化的,以及当多个平台可以并存时,这会影响行驶的车辆公里 (VKT).
科学领域:
- 运输科学 运输科学
- 计算社会科学 计算社会科学
- 城市流动性 城市流动性
背景情况:
- 乘客采购市场表现出网络效应,分散的 (多平台) 市场可能导致与断结构相比,乘客-司机匹配率不佳.
- 现有研究强调了潜在的碎片化成本,包括绕道增加,司机收入减少和车辆行驶里程 (VKT) 增加.
研究的目的:
- 量化 ridesourcing 市场碎片化的成本如何根据市场特征和用户行为而有所不同.
- 确定分散的骑车采购市场可以可持续运行的条件.
- 分析乘车共享与私人乘车服务对市场碎片化的影响.
主要方法:
- 开发一种基于代理的模型,模拟骑行采购市场的日常和日常动态.
- 在基于代理的模式中包括私人和共享乘车服务.
- 经验验证使用阿姆斯特丹自行车采购市场的数据.
主要成果:
- 两个乘坐平台可以并存,如果乘坐共享只由一个平台提供,由于人口定向或两者,如果绕道的负面网络影响受到需求的限制.
- 乘车共享市场的碎片化导致VKT增长6.4%.
- 对于只提供私人乘车的平台而言,市场的共存是可行的,旅行者和/或司机的多重回家行为是可行的.
结论:
- 骑行采购市场的细分化带来了可量化的成本,特别是在VKT方面,受服务产品和用户行为的影响.
- 战略性平台设计 (例如,提供乘车共享) 和用户多家居是分散的乘车采购市场可持续性的关键因素.
- 了解这些动态对于优化城市流动性和减少环境影响至关重要.
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