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Simulating on-demand ride services in a Manhattan-like urban network considering traffic dynamics

Author

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  • Ding, Zhong-Jun
  • Dai, Zong
  • Chen, Xiqun (Michael)
  • Jiang, Rui

Abstract

With the rise of the mobile internet economy, on-demand ride services (or ride-sourcing services) provided by transportation network companies (TNCs) have become prosperous as an emerging mobility service mode. In this paper, we present a simulation framework to study how such an on-demand ride services platform should optimize pricing strategies considering traffic dynamics, that it, the platform charges the passengers and pays the ride-sourcing drivers with the wage. Specifically, we use the cellular automaton model to simulate route choice behavior of both regular cars that impact background traffic dynamics and ride-sourcing cars that provide on-demand ride services in the Manhattan-like urban network. In this model, passengers are sensitive to the waiting time and price, while ride-sourcing drivers are sensitive to the wage. The proposed model framework is capable of simulating the on-demand travel behavior of multiple types of stakeholders, including the on-demand ride services platform, ride-sourcing drivers and cars, and passengers. The model also realizes the process of trip requests, passenger–driver matching, dispatching, and dynamic path planning. We quantitatively evaluate the impacts of various operational strategies on ride-sourcing and passenger behavior. The results show that it is optimal for the platform to charge a higher price and offer a higher payout ratio as demand increases, while the platform should lower its payout ratio as the number of service providers increases. Furthermore, the optimal price and payout ratio are not necessarily monotonic when the travel distance increases. This paper is one of the first quantitative studies that simulate on-demand ride services in a microscopic traffic environment with mixed regular vehicles and ride-sourcing vehicles.

Suggested Citation

  • Ding, Zhong-Jun & Dai, Zong & Chen, Xiqun (Michael) & Jiang, Rui, 2020. "Simulating on-demand ride services in a Manhattan-like urban network considering traffic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119320199
    DOI: 10.1016/j.physa.2019.123621
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    References listed on IDEAS

    as
    1. Lee, Alan & Savelsbergh, Martin, 2015. "Dynamic ridesharing: Is there a role for dedicated drivers?," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 483-497.
    2. Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 64-88.
    3. Stiglic, M. & Agatz, N.A.H. & Savelsbergh, M.W.P. & Gradisar, M., 2015. "The Benefits of Meeting Points in Ride-sharing Systems," ERIM Report Series Research in Management ERS-2015-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Jun Liu & Kara M. Kockelman & Patrick M. Boesch & Francesco Ciari, 2017. "Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation," Transportation, Springer, vol. 44(6), pages 1261-1278, November.
    5. Catherine Morency, 2007. "The ambivalence of ridesharing," Transportation, Springer, vol. 34(2), pages 239-253, March.
    6. Stiglic, Mitja & Agatz, Niels & Savelsbergh, Martin & Gradisar, Mirko, 2015. "The benefits of meeting points in ride-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 36-53.
    7. Agatz, Niels A.H. & Erera, Alan L. & Savelsbergh, Martin W.P. & Wang, Xing, 2011. "Dynamic ride-sharing: A simulation study in metro Atlanta," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1450-1464.
    8. Amin Mazloumian & Nikolas Geroliminis & Dirk Helbing, "undated". "The Spatial Variability of Vehicle Densities as Determinant of Urban Network Capacity," Working Papers CCSS-09-009, ETH Zurich, Chair of Systems Design.
    9. Gayah, Vikash V. & Gao, Xueyu (Shirley) & Nagle, Andrew S., 2014. "On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 255-268.
    10. Wu, Chao-Yun & Li, Ming & Jiang, Rui & Hao, Qing-Yi & Hu, Mao-Bin, 2018. "Perimeter control for urban traffic system based on macroscopic fundamental diagram," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 231-242.
    11. Zhang, Lele & Garoni, Timothy M & de Gier, Jan, 2013. "A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 1-23.
    12. Huang, Jian & Hu, Mao-Bin & Jiang, Rui & Li, Ming, 2018. "Effect of pre-signals in a Manhattan-like urban traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 71-85.
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    1. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.

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