Ridesourcing services play a crucial role in metropolitan transportation systems and aggravate urban traffic congestion and air pollution. Ridesplitting is one possible way to reduce these adverse effects and improve transport efficiency. This paper aims to explore the potential of ridesplitting in peak hours using empirical ridesourcing data of Chengdu, China provided by DiDi Chuxing. A ridesplitting trip identification algorithm based on a shareability network is developed to quantify the potential of ridesplitting. Then, we evaluate the gap between the potential and actual scales of ridesplitting, which the literature has not yet reported. We compare the potential of ridesplitting under three different objectives. The results show that the objective of minimizing the total travel cost produces better performance than the objectives of maximizing shared trips and time savings. Under the objective of maximizing cost savings, the percentage of potential cost savings is 18.47% with an average delay of 4.76 minutes, whereas the actual percentage is 1.22% with an average delay of 9.86 minutes. The potential percentage of shared trips is 90.69%, while the actual percentage is 7.85%. Furthermore, the potential time savings can reach 25.75%, while the actual time savings are 2.38% in the real world. The findings of this study can help transportation management agencies and ridesourcing companies develop sensible policies to improve ridesplitting services.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving Ridesplitting Service Using Optimization Procedures on Shareability Network: A Case Study of Chengdu, China


    Contributors:
    TU, Meiting (author) / LI, Ye (author) / LI, Wenxiang (author) / TU, Minchao (author) / Orfila, Olivier (author) / Gruyer, Dominique (author) / BAN, XuegangJeff (author)


    Publication date :

    2019-10-01


    Size :

    504689 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Grouping Approach to Ridesplitting Optimization

    Zhu, Jiangtao / Mo, Dong / Chen, Xiqun (Michael) | TIBKAT | 2020


    Mode choice model analysis between ridesouring and ridesplitting service in DKI Jakarta

    Cahyo Anggit / Nahry / Burhan Helen | DOAJ | 2019

    Free access


    Impact of COVID-19 on Spatiotemporal Factors Affecting Ridesplitting Demand

    Chen, Zilin / Ren, Yilong / Zheng, Xinrui et al. | TIBKAT | 2022


    Structure Analysis of Factors Influencing the Preference of Ridesplitting

    Xinghua Li / Feiyu Feng / Wei Wang et al. | DOAJ | 2021

    Free access