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A Pick-Up Points Recommendation System for Ridesourcing Service

Author

Listed:
  • Wanqiu Zhu

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China
    School of Transportation, Southeast University, Nanjing 210096, China)

  • Jian Lu

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China
    School of Transportation, Southeast University, Nanjing 210096, China)

  • Yunxuan Li

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China
    School of Transportation, Southeast University, Nanjing 210096, China)

  • Yi Yang

    (Didi Chuxing Company, Beijing 100000, China)

Abstract

In the ridesourcing industry, drivers are often unable to quickly and accurately locate the waiting position of riders, but patrol or wait on the road, which will seriously affect the management of the road traffic order. It may be a good idea to provide an online virtual site for the taxi to facilitate convergence of the rider and driver. The concept of recommended pick-up point is presented in this paper. At present, ridesourcing service platforms on the market have similar functions, but they do not take into account whether the setting of the pick-up point is compatible with the actual traffic environment, resulting in some problems. We have invented a method to select the recommended pick-up point by integrating various traffic influencing factors, so as to ensure that the setting of the pick-up point is compatible with the actual traffic situation, which consists of three steps. Firstly, we studied the rider’s maximum tolerable waiting time and defined an attractive walking range for riders based on the huge amount of data. In the second step, we analyzed spatial distribution characteristics of the taxi demand hotspot and determined candidate pick-up locations. Lastly, the fuzzy analytic hierarchy method was used to select the recommended pick-up point that is most conducive to traffic management from multiple candidate points. A case study was conducted to validate the proposed approach and experimental evidence showed that recommended results based on the approach are in line with the actual situation of the road, and conducive to road traffic management. This recommendation method is based on real ridesourcing orders data.

Suggested Citation

  • Wanqiu Zhu & Jian Lu & Yunxuan Li & Yi Yang, 2019. "A Pick-Up Points Recommendation System for Ridesourcing Service," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1097-:d:207359
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    References listed on IDEAS

    as
    1. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
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    Cited by:

    1. Zhiling Han & Yanyan Chen & Hui Li & Kuanshuang Zhang & Jiyang Sun, 2019. "Customized Bus Network Design Based on Individual Reservation Demands," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    2. Aleksander Król & Małgorzata Król, 2019. "A Stochastic Simulation Model for the Optimization of the Taxi Management System," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

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