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Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China

Author

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  • Mingyang Du

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Lin Cheng

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Xuefeng Li

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Jingzong Yang

    (School of Information, Baoshan University, Baoshan 678000, China)

Abstract

In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.

Suggested Citation

  • Mingyang Du & Lin Cheng & Xuefeng Li & Jingzong Yang, 2019. "Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4318-:d:256345
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    References listed on IDEAS

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    1. Qian, Xinwu & Ukkusuri, Satish V., 2017. "Taxi market equilibrium with third-party hailing service," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 43-63.
    2. Yuan Li & Zhenjun Zhu & Xiucheng Guo, 2019. "Operating Characteristics of Dockless Bike-Sharing Systems near Metro Stations: Case Study in Nanjing City, China," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    3. Rodier, Caroline & Alemi, Farzad & Smith, Dylan, 2016. "Dynamic Ridesharing: Exploration of Potential for Reduction in Vehicle Miles Traveled," Institute of Transportation Studies, Working Paper Series qt6r6139g8, Institute of Transportation Studies, UC Davis.
    4. Prawira Belgiawan & Jan-Dirk Schmöcker & Maya Abou-Zeid & Joan Walker & Tzu-Chang Lee & Dick Ettema & Satoshi Fujii, 2014. "Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA," Transportation, Springer, vol. 41(6), pages 1227-1244, November.
    5. Perboli, Guido & Ferrero, Francesco & Musso, Stefano & Vesco, Andrea, 2018. "Business models and tariff simulation in car-sharing services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 32-48.
    6. Kou, Zhaoyu & Cai, Hua, 2019. "Understanding bike sharing travel patterns: An analysis of trip data from eight cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 785-797.
    7. Jia, Yingnan & Fu, Hua, 2019. "Association between innovative dockless bicycle sharing programs and adopting cycling in commuting and non-commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 12-21.
    8. Herman Fassou Haba & Omkar Dastane, 2018. "An Empirical Investigation on Taxi Hailing Mobile App Adoption: A Structural Equation Modelling," Business Management and Strategy, Macrothink Institute, vol. 9(1), pages 48-72, December.
    9. Li, Shengxiao & Zhao, Pengjun, 2015. "The determinants of commuting mode choice among school children in Beijing," Journal of Transport Geography, Elsevier, vol. 46(C), pages 112-121.
    10. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    11. Nielsen, Jesper Riber & Hovmøller, Harald & Blyth, Pascale-L. & Sovacool, Benjamin K., 2015. "Of “white crows” and “cash savers:” A qualitative study of travel behavior and perceptions of ridesharing in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 113-123.
    12. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
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    Cited by:

    1. Xinyi Xie & Mingyang Du & Xuefeng Li & Yunjian Jiang, 2023. "Exploring Influential Factors of Free-Floating Bike-Sharing Usage Frequency before and after COVID-19," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Zhao, Zhiyuan & Yao, Wei & Wu, Sheng & Yang, Xiping & Wu, Qunyong & Fang, Zhixiang, 2023. "Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Dongdong Feng & Lin Cheng & Mingyang Du, 2020. "Exploring the Impact of Dockless Bikeshare on Docked Bikeshare—A Case Study in London," Sustainability, MDPI, vol. 12(15), pages 1-18, July.

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