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A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data

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  • Beibei Hu

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Yue Sun

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Huijun Sun

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Xianlei Dong

    (School of Business, Shandong Normal University, Jinan 250358, China)

Abstract

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.

Suggested Citation

  • Beibei Hu & Yue Sun & Huijun Sun & Xianlei Dong, 2020. "A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data," IJERPH, MDPI, vol. 17(24), pages 1-28, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9446-:d:463235
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    Cited by:

    1. Lehua Bi & Shaorui Zhou & Jianjie Ke & Xiaoming Song, 2023. "Knowledge-Mapping Analysis of Urban Sustainable Transportation Using CiteSpace," Sustainability, MDPI, vol. 15(2), pages 1-29, January.
    2. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    3. Hu, Beibei & Sun, Yue & Li, Zixun & Zhang, Yanli & Sun, Huijun & Dong, Xianlei, 2024. "Competitive advantage of car-sharing based on travel costs comparison model: A case study of Beijing, China," Research in Transportation Economics, Elsevier, vol. 103(C).

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