Highlights Agent-based simulation of an automated taxi service in Zurich. Context-specific synthetic population, Stated Preferences survey and cost-model. Dynamic demand reacting to waiting times and price.

    Abstract Automated Mobility on Demand (AMoD) is a concept that has recently generated much discussion. In cases where large-scale adoption of an automated taxi service is anticipated, the service’s impacts may become relevant to key transport system metrics, and thus to transport planners and policy-makers as well. In light of this increasingly important question, this paper presents an agent-based transport simulation with (single passenger) AMoD. In contrast to earlier studies, all scenario data (including demand patterns, cost assumptions and customer behaviour) is obtained for one specific area, the city of Zurich, Switzerland. The simulation study fuses information from a detailed bottom-up cost analysis of mobility services in Switzerland, a specifically tailored Stated-Preferences survey about automated mobility services conducted in the canton of Zurich, and a detailed agent-based transport simulation for the city, based on MATSim. Methodologically, a comprehensive approach is presented that iteratively runs these components to derive states in which service cost, waiting times and demand are in equilibrium for a cost-covering AMoD operator with predefined fleet size. For Zurich, several cases are examined, with 4,000 AMoD vehicles leading to the maximum demand of around 150,000 requests per day that can be attracted by the system. Within these parameters, the simulation results show that customers are willing to accept average waiting times of around 4 min at a price of 0.75 CHF/km. Further cost-covering cases with lower demand are presented, where either smaller fleet sizes lead to higher waiting times, or larger fleet sizes lead to higher costs. While our simulations indicate that an AMoD system in Zurich can bring benefits to the users, they show that the system impact is largely negative. Caused by modal shifts, our simulations show an increase of driven distance of up to 100%. All examined fleet configurations of the unregulated, cost-covering, single-passenger, door-to-door AMoD service are found to be highly counter-productive on a path towards a more shared and active transport system. Accordingly, policy recommendations for regulation are discussed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Simulation of price, customer behaviour and system impact for a cost-covering automated taxi system in Zurich


    Beteiligte:
    Hörl, Sebastian (Autor:in) / Becker, Felix (Autor:in) / Axhausen, Kay W. (Autor:in)


    Erscheinungsdatum :

    2021-01-06




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Taxi customer management system

    JAMES JIANJUN WU / SHEN YAFANG | Europäisches Patentamt | 2020

    Freier Zugriff

    A system dynamics model for urban taxi price simulation

    Shi An / Xiaowei Hu / Jian Wang et al. | DOAJ | 2021

    Freier Zugriff

    Modelling multi-period customer-searching behaviour of taxi drivers

    Wong, R.C.P. / Szeto, W.Y. / Wong, S.C. et al. | Taylor & Francis Verlag | 2014


    Taxi call and customer management integrated management system

    BAE JUN HEE | Europäisches Patentamt | 2022

    Freier Zugriff

    ASSIGNED SEATING SYSTEM FOR AN AUTOMATED-TAXI

    MANGAL NANDITA / LAUR MICHAEL H | Europäisches Patentamt | 2020

    Freier Zugriff