Taxi market modeling has long attracted researchers’ and practitioners’ attention, with a variety of models presented to investigate the effects of different market regulation regimes. Motivated by the increasing interest in and theoretical advantages of tradable credit systems for mobility management, this study investigates the use of a tradable credit scheme for taxi licensing. A mixed integer non-linear programming problem is formulated to determine the credit price, daily charge and number of vehicles in order to maximize social welfare. In the social benefit-maximizing solution, the supply of conventional taxis is exhausted, while about 50% of the available electric taxi drivers enter the market. Sensitivity analysis shows that increasing the validity period of the credits, reducing the daily system fee for electric taxis or subsidizing the purchase of electric taxis could lead to greater social benefits by increasing the profit margin of electric taxi drivers and incentivizing their wider adoption.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Electric taxi licensing under a tradable credit scheme: model and application



    Erschienen in:

    Erscheinungsdatum :

    2023-08-18


    Format / Umfang :

    22 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Optimal Tradable Credit Scheme Design with Recommended Credit Price

    Fang Zhang / Jian Lu / Xiaojian Hu | DOAJ | 2021

    Freier Zugriff

    Tradable Credit Scheme to Control Bottleneck Queue Length

    Shirmohammadi, Nima / Yin, Yafeng | Transportation Research Record | 2016


    Dynamic tradable credit scheme for multimodal urban networks

    Balzer, Louis / Ameli, Mostafa / Leclercq, Ludovic et al. | Elsevier | 2023


    Properties of the Multiclass Traffic Network Equilibria Under a Tradable Credit Scheme

    Zhu, Dao-Li / Yang, Hai / Li, Chang-Min et al. | British Library Online Contents | 2015