Title: Modelling and simulation of cancelling orders behaviour by driver and passenger on the ride-hailing platform

Authors: Wei Zhang; Ruichun He; Yong Chen

Addresses: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China ' School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Abstract: It is common to cancel orders by driver and passenger on the ride-hailing platform, which will reduce operational efficiency. This paper studies the behaviour of cancelling orders for ride-hailing platform. Firstly, a model of cancelling orders decision for driver and passenger based on prospect theory is built. Secondly, a simulation algorithm of vehicle carrying passengers with the behaviour of cancelling orders is proposed. Thirdly, simulation is carried out and relative results are obtained. Finally, some strategies and suggestions for ride-hailing platform are given. The results show that cancelling orders behaviour influences driver income and platform profit. Cancelling order rate of driver and that of passenger are influenced by various factors respectively. The cancelling order rate can be decreased by adjusting the factors, such as exoneration time, subsidy, penalty value, etc. These conclusions would help us to developing relative strategies, which has certain guiding significance for management of ride-hailing platform.

Keywords: cancelling orders; ride-hailing platform; prospect theory; simulation; multi-agent.

DOI: 10.1504/IJISTA.2023.131568

International Journal of Intelligent Systems Technologies and Applications, 2023 Vol.21 No.2, pp.153 - 175

Received: 24 Jan 2023
Accepted: 27 Mar 2023
Published online: 19 Jun 2023 *

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