School of Business, Shandong Normal University, Jinan 250358, China.
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China.
Int J Environ Res Public Health. 2020 Dec 16;17(24):9446. doi: 10.3390/ijerph17249446.
The emergence and development of car-sharing has not only satisfied people's diverse travel needs, but also brought new solutions for improving urban traffic conditions and achieving low-carbon and green sustainable development. In recent years, car-sharing has had competition with other ways of getting around, as the acceptance of car-sharing has grown, notably taxis. Therefore, it is particularly important to explore car-sharing travel costs advantages from the perspective of consumers and discover the competitive and complementary spaces between car-sharing and other modes. Therefore, taking Beijing as an example, this paper uses GPS trajectory data based on car-sharing orders to design a travel cost framework of car-sharing and taxis. We calculate and compare the travel cost difference between these two modes under different travel characteristics. The results indicate that car-sharing is a more economical way for consumers to travel for short or medium lengths of time, while people are more inclined to take taxis for distances of long duration. Compared with on workdays, at the weekend, the cost advantage of car-sharing is greater for long-distance trips. Moreover, the cost advantage of car-sharing increases gradually with the increase in travel distance. In addition, the travel costs of car-sharing and taxis are also affected by peak and off-peak traffic periods. Compared with off-peak periods, it is more cost-effective for travelers to take taxis during peak traffic periods for various travel distances. From the perspective of the travel cost, it is of great theoretical significance to discuss the substitution (market competition) and complementary relationship (market cooperation) between car-sharing and taxis in a detailed and systematic way. It provides methods and ideas for the comparative cost calculation of car-sharing and other travel modes. This paper also provides enlightenment and guidance for the development of car-sharing. Enterprises should implement differentiated pricing, designing different charging methods for different traffic periods, travel miles, and rental times, and set up additional stations in the surrounding areas of the city. Relevant government departments should also strictly manage the market access of car-sharing, and add or open car-sharing parking lots in centralized areas and for specific periods.
共享汽车的出现和发展不仅满足了人们多样化的出行需求,也为改善城市交通状况和实现低碳绿色可持续发展带来了新的解决方案。近年来,随着共享出行的普及,共享汽车与其他出行方式展开了竞争,尤其是出租车。因此,从消费者的角度探讨共享出行成本优势,挖掘共享汽车与其他模式之间的竞争与互补空间显得尤为重要。因此,本文以北京为例,基于共享汽车订单的 GPS 轨迹数据设计了共享汽车和出租车的出行成本框架,计算并比较了两种模式在不同出行特征下的出行成本差异。结果表明,对于短、中距离出行,共享汽车对于消费者来说是一种更经济的出行方式,而长距离出行人们更倾向于选择出租车。与工作日相比,周末长距离出行时共享汽车的成本优势更大。此外,随着出行距离的增加,共享汽车的成本优势逐渐增大。另外,共享汽车和出租车的出行成本还受到早晚高峰时段的影响,各种出行距离下,高峰期出行乘坐出租车比平峰期更具成本效益。从出行成本角度出发,深入系统地探讨共享汽车和出租车之间的替代(市场竞争)和互补(市场合作)关系具有重要的理论意义,为共享汽车与其他出行方式的比较成本计算提供了方法和思路。本文也为共享汽车的发展提供了启示和指导,企业应实施差异化定价,针对不同的交通时段、出行里程和租赁时间设计不同的收费方式,在城市周边增设站点;相关政府部门也应严格管理共享汽车的市场准入,在集中区域和特定时段增设共享汽车停车场。