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Understanding the unbalance of interest in taxi market based on drivers' service profit margins

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  • Beibei Hu
  • Yawen Kong
  • Mengge Sun
  • Xianlei Dong
  • Gang Zong

Abstract

Nowadays, ride-hailing services have been established as a part of the urban transportation. Their arrival has remade the profit structure and resulted in the unbalance of interest in taxi market. Here, we establish the service models of taxis, carpooling, and car-hailing under “Internet +” from the perspective of profit margins, to perform a comparative analysis among the different services. Results: First, Profit margins are generally higher for short trips than for long trips, though empty cruise fee to a certain degree make up for the driver’s decreased profit margins. Second, the profit margin for carpooling is roughly 1.85 times that of ride-hailing, and 1.75 times that of taxis. This shows that the sharing economy has a certain advantage. Third, Profit margins are higher and fluctuations are lower on non-work days than on work days. At last, Profit margins are roughly 1.3 times higher on non-congested roads than on congested roads. The reduced profitability on congested roads makes it even harder to catch a ride during rush hours and on congested roads. We suggest that the relevant departments make appropriate efforts to make it more attractive for drivers to take on passengers during rush hours and on congested roads, and promote the sharing in the taxi market.

Suggested Citation

  • Beibei Hu & Yawen Kong & Mengge Sun & Xianlei Dong & Gang Zong, 2018. "Understanding the unbalance of interest in taxi market based on drivers' service profit margins," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
  • Handle: RePEc:plo:pone00:0198491
    DOI: 10.1371/journal.pone.0198491
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    References listed on IDEAS

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    1. Yang, Hai & Leung, Cowina W.Y. & Wong, S.C. & Bell, Michael G.H., 2010. "Equilibria of bilateral taxi-customer searching and meeting on networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1067-1083, September.
    2. Yang, Hai & Wong, S. C. & Wong, K. I., 2002. "Demand-supply equilibrium of taxi services in a network under competition and regulation," Transportation Research Part B: Methodological, Elsevier, vol. 36(9), pages 799-819, November.
    3. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    4. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.
    5. Jianqi Liu & Jiafu Wan & Qinruo Wang & Pan Deng & Keliang Zhou & Yupeng Qiao, 2016. "A survey on position-based routing for vehicular ad hoc networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 15-30, May.
    6. Jonathan V. Hall & Alan B. Krueger, 2015. "An Analysis of the Labor Market for Uber's Driver-Partners in the United States," Working Papers 587, Princeton University, Department of Economics, Industrial Relations Section..
    7. Yang, Hai & Wong, S. C., 1998. "A network model of urban taxi services," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 235-246, May.
    8. Yang, Hai & Ye, Min & Tang, Wilson H. & Wong, S.C., 2005. "Regulating taxi services in the presence of congestion externality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 17-40, January.
    9. Harding, Simon & Kandlikar, Milind & Gulati, Sumeet, 2016. "Taxi apps, regulation, and the market for taxi journeys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 15-25.
    10. Dali Wei & Changwei Yuan & Hongchao Liu & Dayong Wu & Wesley Kumfer, 2017. "The Impact of Service Refusal to the Supply–Demand Equilibrium in the Taxicab Market," Networks and Spatial Economics, Springer, vol. 17(1), pages 225-253, March.
    11. Yang, Hai & Fung, C.S. & Wong, K.I. & Wong, S.C., 2010. "Nonlinear pricing of taxi services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 337-348, June.
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    1. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
    2. Pinaki DASGUPTA & Arnab DEB, 2022. "Service Pricing Challenges On Shared Platform: Uber India Vs Didi Chuxing," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 23-33, May.

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