Dynamic pricing has been used by Transportation Network Companies (TNCs) to achieve a balance between the volume of ride requests with numbers of available drivers on two-sided TNC markets. Given the desire to reduce operating costs and the emergence of Autonomous Vehicles (AVs), the introduction of TNC-owned AV fleets could convert such services into one-sided markets, where operators have full control of service supply. In this paper we investigate the impact of utility-based dynamic pricing for Autonomous TNCs (ATNCs) in one-sided markets. We test the method using an Agent-Based Model (ABM) of Greater London in conditions of monopoly and competition, focusing on a statically priced ATNC service that offers a mix of private and shared ride services. Public transport is considered as an alternative mode of transportation in both scenarios. Results indicate that in monopoly, dynamic pricing provides higher revenues than static pricing at non-peak hours when average waiting times are low. On the contrary, in competition, dynamic pricing is superior at peak hours where increased waiting times are observed, thus increasing the value of low waiting time rides. Overall, in both market structures, it is found that shared trips are more popular in dynamic pricing compared to static pricing.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets


    Contributors:


    Publication date :

    2018-11-01


    Size :

    1424226 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Economic analysis of ride-sourcing markets

    Zha, Liteng | Online Contents | 2016


    Calibration and validation of matching functions for ride-sourcing markets

    Shuqing Wei / Siyuan Feng / Jintao Ke et al. | DOAJ | 2022

    Free access

    A Bi-Level Optimization Model for Ride-Sourcing Platform’s Spatial Pricing Strategy

    Wei Tang / Heng Wang / Yang Wang et al. | DOAJ | 2022

    Free access

    Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows

    Karamanis, Renos / Anastasiadis, Eleftherios / Stettler, Marc et al. | IEEE | 2022


    Assignment and Pricing of Shared Rides in Ride-Sourcing Using Combinatorial Double Auctions

    Karamanis, Renos / Anastasiadis, Eleftherios / Angeloudis, Panagiotis et al. | IEEE | 2021