Hu Beibei, Li Xufeng, Li Zixun, Dong Xianlei, Sun Huijun, Sun Minghe, Lin Kexin, Xue Jie
School of Business, Shandong Normal University, Jinan, China.
School of Economics, Beijing Technology and Business University, Beijing, China.
Heliyon. 2024 Apr 26;10(9):e29888. doi: 10.1016/j.heliyon.2024.e29888. eCollection 2024 May 15.
The emergence of taxi sharing enhances urban transport efficiency and reduces carbon emissions. Using GPS tracking data from taxis in Chengdu, China, this study first outlines conditions for identifying shareable taxi orders based on their origins and destinations. We then develop a three-phase computational model to optimize matches among all potential shareable orders, calculating the shareable mileage and the proportion of original mileage that could be shared. Our comprehensive temporal and spatial analysis reveal a significant market for taxi sharing in Chengdu, with higher potential on workdays than non-workdays and four distinct demand peaks throughout the day. The morning peak on workdays and the night peak on non-workdays are particularly pronounced. Most shareable orders originate within major city districts. We find a positive correlation between the potential of taxi sharing and average traffic speed, and negative correlations with order volume, regional economic development, and population density. Functional zones related to Enterprises, Motorcycle Services, and Transportation Services exhibit significantly higher sharing potential. Compared to traditional taxi operations, taxi sharing significantly reduces total travel mileage. This quantitative analysis offers insights into the potential demand for taxi sharing among urban residents and may help government authorities optimize taxi resources for the sustainable development of urban transport.
拼车的出现提高了城市交通效率并减少了碳排放。本研究利用中国成都出租车的GPS跟踪数据，首先概述了根据订单的起点和终点来识别可拼车订单的条件。然后，我们开发了一个三阶段计算模型，以优化所有潜在可拼车订单之间的匹配，计算可拼车里程以及可共享的原始里程比例。我们全面的时空分析揭示了成都拼车的巨大市场，工作日的潜力高于非工作日，且全天有四个明显的需求高峰。工作日的早高峰和非工作日的晚高峰尤为明显。大多数可拼车订单都来自主要城区。我们发现拼车潜力与平均交通速度呈正相关，与订单量、区域经济发展和人口密度呈负相关。与企业、摩托车服务和交通服务相关的功能区显示出显著更高的共享潜力。与传统出租车运营相比，拼车显著减少了总行驶里程。这种定量分析为了解城市居民对拼车的潜在需求提供了见解，并可能有助于政府当局优化出租车资源，以实现城市交通的可持续发展。
