Improving ridesplitting services using optimization procedures on a shareability network: A case study of Chengdu
Improving ridesplitting services using optimization procedures on a shareability network: A case study of Chengdu
复制标题
使用共享网络上的优化程序改进拼车服务：以成都为例
DOI：
10.1016/j.techfore.2019.119733
复制
发表时间：
2019-12
影响因子：
12
通讯作者：
Dominique Gruyer
中科院分区：
文献类型：
--
作者：
Meiting Tu;Ye Li;Wenxiang Li;Minchao Tu;Olivier Orfila;Dominique Gruyer
在大城市交通系统中，出行服务扮演着至关重要的角色，并加剧了城市交通拥堵和空气污染。特别是在繁忙时间，分流是减少这些不利影响和提高运输效率的一种可能方法。本文旨在利用滴滴出行提供的经验性拼车数据探索高峰时段拼车的潜力。滴滴出行提供的经验性拼车数据包含了中国成都市的完整拼车订单数据集。提出了一种基于可共享网络的拼车出行识别算法，以量化拼车出行的潜力。然后，我们评估了潜在的和实际的乘车拆分规模之间的差距。结果表明，在平均延迟为4.76 min时，潜在成本节约率为18.47%，而在平均延迟为9.86 min时，实际成本节约率为1.22%。共享出行的比例可以从7.85%提高到90.69%，节省时间的比例可以从2.38%提高到25.75%。这是第一次调查实际规模和城市规模上的拼车潜力之间的差距。该算法不仅可以在城市层面上带来效益，而且还考虑了乘客延误。量化的好处可以鼓励运输管理机构和运输网络公司制定合理的政策，以改善现有的拼车服务。
Ridesourcing services play a crucial role in metropolitan transportation systems and aggravate urban traffic congestion and air pollution. Ridesplitting is one possible way to reduce these adverse effects and improve the transport efficiency, especially during rush hours. This paper aims to explore the potential of ridesplitting during peak hours using empirical ridesourcing data provided by DiDi Chuxing, which contains complete datasets of ridesourcing orders in the city of Chengdu, China. A ridesplitting trip identification algorithm based on a shareability network is developed to quantify the potential of ridesplitting. Then, we evaluate the gap between the potential and actual scales of ridesplitting. The results show that the percentage of potential cost savings can reach 18.47% with an average delay of 4.76 min, whereas the actual percentage is 1.22% with an average delay of 9.86 min. The percentage of shared trips can be increased from 7.85% to 90.69%, and the percentage of time savings can reach 25.75% from 2.38%. This is the first investigation of the gap between the actual scale and the potential of ridesplitting on a city scale. The proposed ridesplitting algorithm can not only bring benefits on a city level but also take passenger delays into consideration. The quantitative benefits could encourage transportation management agencies and transportation network companies to develop sensible policies to improve the existing ridesplitting services.
登录
查看更多内容
按需拼车如何影响车辆的使用和拥有？
影响因子：
3.6
作者：
Hongyu Zheng;Xiaowei Chen;Xiqun Michael Chen
通讯作者：
Xiqun Michael Chen
影响因子：
6.8
作者：
Rayle, Lisa;Dai, Danielle;Shaheen, Susan
通讯作者：
Shaheen, Susan
影响因子：
4.6
作者：
H. Psaraftis
通讯作者：
H. Psaraftis
影响因子：
3.2
作者：
BECKER, GS
通讯作者：
BECKER, GS
DOI：
10.2307/2554828
发表时间：
1989
期刊：
--
影响因子：
--
作者：
K. Small;C. Winston;C. A. Evans
通讯作者：
K. Small;C. Winston;C. A. Evans