Ride-sharing transaction reaching factors’ impact on the performance of ride-hailing system

IF 6.3 2区工程技术 Q1 ECONOMICS

Transport Policy Pub Date : 2025-01-27 DOI:10.1016/j.tranpol.2025.01.025

Jing Sun , Shifeng Liu , Xinghua Zhang , Shengda Zhao , Daqing Gong

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引用次数: 0

Abstract

Ride-sharing is widely regarded as an effective means to improve urban traffic efficiency, reduce the number of vehicles, and alleviate traffic congestion. However, the reaching of a ride-sharing transaction depends on the joint decision-making of passengers and ride-hailing platforms: passengers must be willing to share, which is often influenced by waiting times, described here as the willingness dependent tolerance (WDT) mechanism; the platform determines ride-sharing matching through regulating route similarity strategies. To explore how the interaction mechanisms between the two parties affect ride-sharing operations and thereby the efficiency and resilience of ride-hailing systems, this paper employs queuing theory and multi-agent approaches to build models for extensive analysis, and verifies these with actual data from Beijing. The results show that the WDT mechanism can adaptively adjust passenger choices and system operating modes in response to supply and demand changes, maintaining high efficiency and resilience of ride-sharing services during supply shortages. However, there exists a competitive equilibrium point between platform regulation and the WDT mechanism, where adjusting the route similarity standard before and after this point affects the adaptability of the WDT mechanism differently. Based on these findings, recommendations are made from the perspectives of platform operation and government management, aiming to seize the optimal moments to encourage ride-sharing, balance individual comfort with overall system performance, and optimize platform regulation effectiveness.

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共乘交易达成因素对网约车系统绩效的影响

拼车被广泛认为是提高城市交通效率、减少车辆数量、缓解交通拥堵的有效手段。然而，拼车交易的达成取决于乘客和网约车平台的共同决策：乘客必须愿意共享，而这往往受到等待时间的影响，这里将其描述为意愿依赖容忍（WDT）机制；该平台通过调节路线相似度策略来确定拼车匹配。为了探索双方之间的交互机制如何影响拼车运营，从而影响拼车系统的效率和弹性，本文采用排队论和多智能体方法建立模型进行广泛分析，并使用北京的实际数据进行验证。结果表明，WDT机制可以根据供需变化自适应调整乘客选择和系统运行方式，在供应短缺的情况下保持拼车服务的高效率和弹性。然而，平台监管与WDT机制之间存在一个竞争平衡点，调整该平衡点前后的路线相似标准对WDT机制适应性的影响是不同的。基于这些发现，从平台运营和政府管理的角度提出建议，旨在抓住最佳时机鼓励拼车，平衡个人舒适度和系统整体性能，优化平台监管效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transport Policy Multiple-

CiteScore

12.10

自引率

10.30%

发文量

282

期刊介绍： Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.