Design of multi-optional pickup time offers in ride-sharing systems

IF 2.1 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE EURO Journal on Transportation and Logistics Pub Date : 2024-01-01 DOI:10.1016/j.ejtl.2024.100134

Jarmo Haferkamp

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Abstract

Ride-sharing systems strive to provide affordable on-demand mobility in urban areas by effectively consolidating incoming transportation requests. To ensure that transportation offers meet travelers’ individual time requirements and constraints, service operators offer multiple pickup times from which travelers can choose. Designing such pickup time offers is challenging due to the uncertainty of both the requirements of the requesting traveler and the efficient fulfillment of future demand. We propose a parametric cost function approximation to balance between maximizing the probability that a traveler will choose an offered pickup time and minimizing the expected vehicle routing effort. We demonstrate the effectiveness of the proposed approach in a comprehensive computational study and provide managerial insights, particularly with respect to the value of information on traveler pickup time requirements.

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设计共享乘车系统中的多选项取车时间方案

共享乘车系统通过有效整合收到的交通请求，努力为城市地区提供经济实惠的按需移动服务。为确保提供的交通服务能满足旅客的个人时间要求和限制，服务运营商提供多个取车时间供旅客选择。由于旅客的要求和未来需求的有效满足都具有不确定性，因此设计这样的取车时间方案具有挑战性。我们提出了一种参数成本函数近似法，以在最大化旅客选择所提供接送时间的概率和最小化预期车辆路由工作之间取得平衡。我们在一项综合计算研究中证明了所提方法的有效性，并提供了管理见解，特别是关于旅客接送时间要求信息的价值。

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

EURO Journal on Transportation and Logistics Multiple-

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

129 days

期刊介绍： The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is a forum for the presentation of original mathematical models, methodologies and computational results, focussing on advanced applications in transportation and logistics. The journal publishes two types of document: (i) research articles and (ii) tutorials. A research article presents original methodological contributions to the field (e.g. new mathematical models, new algorithms, new simulation techniques). A tutorial provides an introduction to an advanced topic, designed to ease the use of the relevant methodology by researchers and practitioners.